ALBERT

Description: Software supports continuous economic growth but has risks of uncertainty. In order to improve the risk-assessing accuracy of software project development, this paper proposes an assessment model based on the combination of backpropagation neural network (BPNN) and rough set theory (RST). First, a risk list with 35 risk factors were grouped into six risk categories via the brainstorming method and the original sample data set was constructed according to the initial risk list. Subsequently, an attribute reduction algorithm of the rough set was used to eliminate the redundancy attributes from the original sample dataset. The input factors of the software project risk assessment model could be reduced from thirty-five to twelve by the attribute reduction. Finally, the refined sample data subset was used to train the BPNN and the test sample data subset was used to verify the trained BPNN. The test results showed that the proposed joint model could achieve a better assessment than the model based only on the BPNN.

Description: The profitability of most construction projects critically depends on construction productivity, which can lead to project cost overruns and schedule delays if not fully addressed. Although a literature review provides numerous worldwide examples of construction productivity improvement by mitigating and eliminating influencing disruptions through lean tool implementation, those studies considered a limited number of productivity disruptions in which the choice of lean tools was not clearly justified. This gap has significantly hampered the required improvements in construction productivity due to the limitations in selecting optimal solutions to fully overcome relevant disruptions and prevent their consequences. Hence, as a response to the aforementioned shortcomings, the present study develops the lean-Clancy-based decision-making matrix (LCDMM) that combines two different methods—the “Clancey heuristic model” and “lean construction”—with the goal of determining optimal and beneficial solutions to eliminate disruptions. The main thrust towards the adaptation of the matrix is based on its potential to link disruptions with solutions based on lean tools. In order to assess the practicality of LCDMM, the proposed solutions for two disruptions, as examples, are compared to existing practical solutions. Ultimately, it is clear that LCDMM, as a reusable tool, can assist scholars and practitioners in assembling the analysis of disruption waste and in selecting solutions for productivity improvement.

Description: As human activities threaten biodiversity on a global scale, preventing further biodiversity loss requires scientifically literate and environmentally responsible citizens. Biodiversity education (BE) as part of education for sustainable development (ESD) may lay the foundation of fostering a sense of responsibility for biodiversity and its preservation among future generations. Meaningful learning depends on the integration of new knowledge into already existing student conceptions (i.e., students’ pre-instructional mental concepts and ideas of teaching subjects). Thus, assessment and consideration of student conceptions on biodiversity are of high relevance for the development of successful BE and ESD lessons. In the present qualitative study, we applied three open-ended questions in a paper-and-pencil format to assess adolescents’ pre-instructional conceptions on biodiversity, its benefits, and protection. Almost our total sample of 275 German 10th graders equated biodiversity with species diversity, revealing an only fragmented understanding of the scientific concept of biodiversity. Conceptions of the benefits of biodiversity were almost equally balanced between environmental and economic benefits. Notions of environmental preservation considerably outnumbered notions of environmental utilization in student conceptions of biodiversity protection.

Description: While research on retailers’ attributes that influence store patronage is relatively plentiful, the influence on store patronage of consumers’ perceptions towards retailers’ sustainable behaviour is a new topic. The authors examine the influence of retailers’ sustainable behaviour and store attributes (assortment, price, personnel, advertising and convenience) on the patronage behaviour of generations X and Y (Millennials). Data were collected via a survey of 278 Xers and 402 Millennials in an emerging market. Results show that Generation X apparel store patronage is positively influenced by advertising and store personnel, whereas Millennials’ are influenced by assortment, personnel and advertising and to a weaker extent by retailers’ sustainable behaviour. The paper enlarges the understanding of generational theory in an emerging market, while from a managerial perspective the results are particularly useful for apparel retailers with regards to marketing strategies which need to be implemented in order to attract and retain Generation X and Y consumers.

Description: The slow tourism movement is gaining popularity as more destinations focus on the local environment and heritage experience. The approach to slow tourism usually occurs either when traditional destinations exhaust their life cycle with an evident reduction in sustainability, or when newly emerging destinations decide to develop in this way. The case of Madeira is different; the island has several decades of tourism development without excessive pressure or overcrowding, and in planning for the future it wants to sustain these conditions. Seeking to understand Madeira’s perception of the development model, we surveyed entrepreneurs in Madeira’s lodging, restaurant and bar, shopping, transportation, intermediation, and tourist activity industries, as well as its public sector. Even without having encountered the popularized the ideas of slow tourism, Madeira’s tourism entrepreneurs show significant alignment with the values of quieter tourism. In contrast to its mature counterparts (i.e., Europe’s other popular sun and beach destinations), for Madeira it is not a question of destroying or rehabilitating, but rather of continuing sustainable development processes. Our results suggest that although slow tourism is typically a reaction to a very advanced phase of the life cycle, it can be the result of an endogenous impulse, as is true for Madeira.

Description: A shortage of land for waste disposal is one of the serious problems that faces urban areas in developing countries. The Sulaimaniyah Governorate, located in the north of Iraq, is one of the major cities in the Kurdistan Region of the country, covering an area of 2400 km2 with a population of 856,990 in 2016. Currently, there is no landfill site in the study area that meets scientific and environmental criteria, and inappropriate solid waste dumping is causing negative environmental impacts. The process of landfill site selection is considered a complex process and is restricted by numerous factors and regulations. This paper proposes multi-criteria decision-making (MCDM) methods in a model for landfill site decision. The model assumes the input of two groups of factors that need to satisfy the optimal values of weight coefficients. These groups of constants are natural factors and artificial factors, and they included thirteen selected criteria: slope, geology, land use, urban area, villages, rivers, groundwater, slope, elevation, soil, geology, road, oil and gas, land use, archaeology and power lines. The criteria were used in the geographic information system (GIS), which has a high capacity to process and analyze various data. In addition, multi-criteria decision-making (MCDM) methods followed by the weighted linear combination (WLC) method were used to derive criteria weightings using a matrix of pair-wise comparison. Finally, all the multi criteria decision methods were combined to obtain an intersection of the suitability index map for candidate landfill sites. Seven appropriate sites for landfill were suggested, all of which satisfied the scientific and environmental criteria which were adopted in this study.

Description: China is facing the serious problem of ‘low-end locking’ in the global value chain as it becomes deeply integrated into world trade. Deciphering how to upgrade Chinese enterprises’ positions in the global value chain is crucial to China’s economic transformation and sustainable development. This study explores the feasibility of upgrading China’s global value chain from the perspective of financial constraints. Based on a theoretical framework, this study applies firm-level production data and trade data, using a documented method of measuring domestic value added at the firm level. Besides, we apply three methods to comprehensively measure the financial constraints faced by enterprises. In our study, we verify the findings of previous empirical studies that reducing financial constraints can significantly increase enterprises’ domestic value added, and this conclusion remains valid after considering various robustness tests. Our heterogeneity analysis indicates that easing financial constraints can significantly contribute to Chinese private enterprises’ upgrade in the global value chain, which could be related with “ownership discrimination” of Chinese banks. Finally, this study analyses the two mechanisms by which relaxing financial constraints could promote global value chain upgrading: (i) directly transfer enterprises’ trade mode from processing trade to general trade and (ii) allowing enterprises to climb up in the global value chain.

Description: China has been a leader in global carbon emissions since 2006. The question of how to reduce emissions while maintaining stable economic growth is a serious challenge for the country. To achieve this, it is of great significance to track the spatial and temporal evolution of carbon emissions in China during recent decades, which can provide evidence-based scientific guidance for developing mitigation policies. In this study, we calculated the carbon emissions of land use in 1999–2015 using the carbon emissions factor method proposed by the Intergovernmental Panel on Climate Change (IPCC). The Kuznets curve model was used to explore the influence of economic growth and urbanization on carbon emissions at the national and provincial levels. The results indicated that (1) China’s emissions increased from 927.88 million tons (Mt) in 1999 to 2833.91 Mt in 2015 at an average annual growth rate of 12.94%, while carbon sinks grew slightly, from 187.58 Mt to 207.19 Mt. Both emissions and sinks presented significant regional differences, with the Central and Southwest regions acting as the biggest emissions and sink contributors, respectively. (2) Built-up land was the largest land carrier for carbon emissions in China, contributing over 85% to total emissions each year; and (3) at the national level, the relationships between economic growth, urbanization, and carbon emissions presented as inverted U-shaped Kuznets curves, which were also found in the majority of the 30 studied provinces. While carbon emissions may be reaching a peak in China, given the disproportionate role of built-up land in carbon emissions, efforts should be devoted to limiting urbanization and the production of associated carbon emissions.

Description: This paper revisits the issue of household debt sustainability in Korea responding to changes in U.S. interest rates. We investigate not only the transmission channels from U.S. interest rates to domestic interest rates, using the Bayesian VAR (vector autoregression) model, but also the issue of identifying households that are vulnerable in terms of their debt repayments, and we execute projections for the upcoming years given conditional forecasts and various macroeconomic scenarios. The estimation results indicate that first, the domestic policy rate will likely increase and then stagnate conditionally on the path of the U.S. policy rates. Second, the ratios of vulnerable households over total indebted households, which has been growing since 2012, will likely expand mildly over the upcoming years given an approximately 1.6%p gradual increase in interest rates and stable macroeconomic environments. Finally, however, the projected trend of domestic interest rates can cause a rapid expansion in the ratios of vulnerable households, in conjunction with a series of combined negative shocks such as highly concentrated principal repayment schedules, sharp declines in housing prices, and the occurrence of a crisis.

Description: Municipal solid waste management (MWSM) systems have been evolving across most of the developing world. However, despite decades of refinement, they are still underperforming in many cities, leading to negative sustainability impacts in rapidly urbanizing cities of the global South. Despite similarities in the observed transitions between developed and developing countries, there are important differences in their characteristics and underlying drivers. This study aims to unravel the sustainability transitions of the MSWM systems in the two major cities of Bolivia, La Paz and Santa Cruz de la Sierra, illustrating the role of various actors, and specifically local governments. This is achieved through the analysis of secondary data and expert interviews with stakeholders involved in different aspects of the MSWM system at the national and local level. We identify three partially overlapping sustainability transitions in the two cities, namely “Collection and centralized disposal”, “Environmentally controlled disposal”, and “Integrated solid waste management”. However, timelines, speed and elements of these transitions are somewhat different between cities, largely due to their inherent characteristics, institutions and stakeholder dynamics. Many technological, socioeconomic, and institutional factors converge to facilitate and hinder these transitions, including interactions of government and private sector actors, and the country’s broader political context.

Description: After the authors of this study encounter a series of peculiar examples of products and services that are not normally sold online in Canada, the authors assess the psychometric properties of net-enablement capability, as an internal rather than external factor, regarding the decision to implement online selling tools as technology innovation to achieve growth. According to the literature, other authors rarely consider internal factors when they assess the relationship between technology adoption and business model innovation. The study contributes to the continuous dialogue involving the Net-Enabled Business Innovation Cycle (NEBIC) model by analyzing online sellers and offline sellers in Canadian sectors with below-average rates of online selling adoption. The findings indicate that net-enablement capability is a significant internal factor that positively affects innovation in business models for Canadian online sellers across different sectors regardless of the level of online selling adoption rate.

Description: Traffic control is very important for two-lane highway lane-closure work zone traffic management. Control of the open lane’s right of way is very similar to that of a two-phase signalized intersection. Thus, four control strategies including flagger control, pre-timed control proposed by Schonfeld, pre-timed control proposed by Webster, and actuated control are employed for possible use at work zones. Two primary methodologies, the mathematical delay model adopted from signalized intersections, and the simulation model calibrated with field data, are proposed. The simulation and mathematical results show that control strategies for two one-way road intersections could be used for two-lane highway lane-closure work zones. Flagger control after gap-out distance optimization prevails over all the other control strategies in terms of stopped delay, queue length, and throughput, under low or high volumes. Actuated control could be a good alternative for work zone areas due to its small queue length and large vehicle throughput under moderate volume conditions. Our findings may help to optimize the work-zone control strategy and improve operational efficiency at two-lane highway lane-closure work zones.

Description: This paper presents a methodology to analyze the sustainability presence level in the curriculum of an engineering degree. The methodology is applied to ten engineering degrees of the Spanish university system, taught in three different universities. The design used for the research is quantitative and correlational. The analytical instrument used is the engineering sustainability map, which contains the learning outcomes related to sustainability that are expected of engineering students upon completion of their studies. The methodology is used to analyze the curricula of the ten engineering degrees in order to identify what learning outcomes of the engineering sustainability map are developed in each degree. The results indicate that the sustainability competency least present in all the degrees is the “participation in community processes that promotes sustainability,” with an average presence of 23.3%, while the most present is the “application of ethical principles related to the values of sustainability in personal and professional behavior,” with an average presence of 76.6%. In general, learning outcomes related to sustainability have an average presence of 52.1%, so practically half of the cells in the ten engineering sustainability maps are not developed in the degrees under study.

Description: Successful outsourcing strategy is a key enabler of sustainable competitiveness of established firms engaged in technology-intensive business. This study proposes a research framework of a successful outsourcing process composed of resources, dynamic capabilities and created values, from a review of relevant literature and in-depth case study of four leading medical device firms. The research results specify four outsourcing types according to the characteristics of outsourced resources, and their alignment with resources owned by the outsourcer. Each type of outsourcing is positively affected by the outsourcer’s dynamic capabilities, namely sensing, integrating capability, absorptive capability and technology transfer capability. In addition, the significance of the outsourcee’s size according to each outsourcing type is also found. As a result of successful outsourcing experience, the outsourcer can reap the benefits of enhanced dynamic capabilities, i.e., market-oriented innovation, strategic flexibility, agility and increased efficiency, thereby creating a virtuous cycle of sustainable competitiveness in a volatile environment.

Description: The conflict between world cultural heritage and local communities is investigated by using the cultural landscape heritage of West Lake in China as a case study, and establishing an analytical framework of “Rights–Values–Interests” based on the property rights theory of the new institutional economics and the value and interest structure characteristics of cultural heritage. The conflict problem in the market environment is analyzed based on a theoretical explanation. An in-depth discussion of the framework and improvement of China’s protection institution is provided. We outline the following key points: First, the Chinese government “plundered” certain behavior rights and legitimate interests of community residents through the enactment of protection laws, leading to a conflict between the protection and community. Second, China’s laws lack a clear definition of the power and responsibility of the central and local governments with regard to protection actions, leading to vague positions of the government and exacerbating conflicts. Third, China’s protection laws are out of touch with the laws of private property rights. The root cause of the conflict is that the protection action only considers the protection law as the core but neglects the residents’ legal behavior rights. Finally, from the perspective of considering the residents’ legitimate interest demands, defining behavior rights boundaries, and strengthening administrative management, we propose to improve the protection institution in order to achieve the harmonious integration of heritage protection and local communities, and we call for a greater focus on the legitimate interests or survival rights of ordinary Chinese community residents.

Description: The integrated approach to landscape management is generally accepted, but its application is not on the desired practical level. Sectoral approaches to decision-making and planning processes still dominate. The presented paper concerns selected aspects of integrated landscape management in Slovakia. This paper reflects the present state of the long-term effort and experiences of the authors in the integration of ecological knowledge in landscape management tools. The basic methodological procedure needed to achieve this goal consists of analysis, mutual comparison, and confrontation of the existing principles and tools used in applied landscape ecology, as well as in legislation and planning practice. The landscape ecological base for the implementation of scientific achievements in landscape management consists of two methods: landscape ecological planning and ecological network planning. These two methods were implemented into the legislation and practice of nature conservation, physical/territorial planning, watershed management, land arrangement projecting, forestry planning, and flood prevention management. Such systematic landscape ecological regulations in planning practice can be considered the basis for sustainable development.

Description: This study investigates the interlinkages between the dimensions of corporate social responsibility (CSR-economic, environmental, social), financial performance (ROA, ROE), and corporate governance (CG), by applying the structural equation modeling technique (SEM). It is based on a sample of 614 large companies from the European Economic Area, covering specific indicators published by the Thomson Reuters database, for the years 2013–2017. The equation models are structured starting from isolated dependencies between variables, up to the global ones (direct, indirect, and total dependencies). The mixed results obtained imply that the nature and heterogenous content of CSR lead to different statistical dependencies for each of the two financial performance indicators. ROA is positively influenced by the economic dimension of CSR, but, the level of this rate does not necessarily contribute to an increase in the involvement of the company in this type of CSR actions. At the same time, ROA is influenced and affects in a negative way the environmental and social dimensions of CSR. In the case of ROE, it is influenced and impacts the economic and social dimensions in a positive way. The environmental dimension of CSR influences ROE positively, but it is negatively affected by this profitability rate. Corporate governance exerts a positive impact on all of the model’s variables, both as a direct and indirect factor of influence.

Description: Brackish water used for irrigation can restrict crop growth and lead to environmental problems. The alternate irrigation with saline water at different growth stages is still not well understood. Therefore, field trials were conducted during 2015–2018 in the NCP to investigate whether alternate irrigation is practicable for winter wheat production. The treatments comprised rain-fed cultivation (NI), fresh and saline water irrigation (FS), saline and fresh water irrigation (SF), saline water irrigation (SS) and fresh water irrigation (FF). The results showed that the grain yield was increased by 20% under SF and FS treatments compared to NI, while a minor decrease of 2% in grain yield was observed compared with FF treatment. The increased soil salinity and risk of long-term salt accumulation in the soil due to alternate irrigation during peak dry periods was insignificant due to leaching of salts from crop root zone during monsoon season. Although Na+ concentration in the leaves increased with saline irrigation, resulting in significantly lower K+:Na+ ratio in the leaves, the Na+ and K+ concentrations in the roots and grains were not affected. In conclusion, the alternate irrigation for winter wheat is a most promising option to harvest more yield and save fresh water resources.

Description: Sustainable development can be achieved through several activities. The building and construction sector (B & C sector) is one of the major industries, and it can play a crucial role in the improvement of the most relevant environmental impacts. Nowadays, there are major concerns related to sustainability in construction. All types of buildings have different technical aspects; therefore, it is required to develop specific sustainability assessment tools. A school building has peculiarities connected to aspects of sustainability, as it is a building planned to offer adequate environments for the education of adolescents and children. This article shows the application of the SBTool methodology developed specifically for Portuguese high schools, SAHSBPT (Sustainable Assessment for High School Buildings) methodology, that is being elaborated by the first author in her PhD Thesis. This methodology allows architects, engineers and designers to improve sustainability in school buildings, in projects or in the rehabilitation of buildings. The objective of this research is to apply that evaluation tool in order to verify the efficiency of this methodology, as well as to recognize the level of sustainability of the Francisco de Holanda High School Building, in Guimarães, Portugal. The values found in the application of the Sustainable Assessment for High School Buildings in that high schools demonstrate a good result, as the overall value is A, 75% of the total result.

Description: This work analyses the organic dust concentration during a wheat grinding process which was carried out using two types of grinders: A hammer mill and a roller mill. DustTrak II aerosol monitor was used to measure the concentration of the dust PM10 (particles with the size smaller than 10 μm), PM4.0, and PM1.0. An increase of the grain moisture to 14% resulted in the reduction in PM10 when grinding grain using the hammer mill. An inverse relationship was obtained when grain was ground using the roller mill. A smaller amount of the fraction below 0.1 mm was observed for larger diameter of the holes in the screen and smaller size of the working gap in the roller mill. For both mills, the obtained concentration of the PM10 fraction dust exceeded the acceptable level. To protect farmers health, it is necessary to use dust protection equipment or to modify the grinding technology by changing the grain moisture content and/or the grinding parameters.

Description: Sustainable development is of great significance. The emerging research on data-driven computational sustainability has become an effective way to solve this problem. This paper presents a fault diagnosis and prediction framework for complex systems based on multi-dimensional data and multi-method comparison, aimed at improving the reliability and sustainability of the system by selecting methods with relatively superior performance. This study took the avionics system in the industrial field as an example. Based on the literature research on typical fault modes and fault diagnosis requirements of avionics systems, three popular high-dimensional data-driven fault diagnosis methods—support vector machine, convolutional neural network, and long- and short-term memory neural network—were comprehensively analyzed and compared. Finally, the actual bearing failure data were used for programming in order to verify and compare various methods and the process of selecting the superior method driven by high-dimensional data was fully demonstrated. We attempt to provide a sustainable development idea that continuously explores multi-method integration and comparison, aimed at improving the calculation efficiency and accuracy of reliability assessments, optimizing system performance, and ultimately achieving the goal of long-term improvement of system reliability and sustainability.

Description: The Millennium Development Goals (MDGs) specifies gender equality and sustainable development as their two central priorities. An area of critical importance for sustainable and gender-fair development is mobility and transport, which has so far been neglected and downplayed in research and policy making both at the national and global levels. Rooted in the history of the topic and the emerging ideas on smart, green and integrated transport, this paper presents a literature review of on gender and transport in the low- and middle-income countries. The paper presents a host of cross-cutting topics with a concentrated focus on spatial and transport planning. The paper further identifies existing research gaps and comments on the new conceptualizations on smart cities and smart mobilities in the Global South. Due attention is paid to intersections and synergies that can be created between different development sectors, emerging transport modes, data and modeling exercises, gender equality and sustainability.

Description: For better understanding of how the public perceive the information in science communication; this study sought to develop the scale of Science Edu-Communication (SEC), an instrument to measure AEIOU: Awareness; Enjoyment; Interest; Opinion formation; and Understanding. The AEIOU framework was adopted for use as the major component of SEC to depict participants’ general perceptions of science communication from their daily life experiences. Responses from 121 participants were analysed using exploratory factor analysis; item discrimination; and qualitative coding analysis. Results support SEC-AEIOU as a valid and reliable instrument to measure the effectiveness of science communication experiences. Additionally; SEC-AEIOU can serve as a framework for research and practice to bridge science communication and science education. In particular; science communicators; educators; and institutions that engage in science communication and educational activities may benefit from such a metric. This scale seeks to assist in building a robust framework to facilitate the trend of bridging science communication and science education: Science Edu-Communication.

Description: This article presents the computational simulation process and the operation algorithms of the VAV and VRV systems, for indoor space conditioning, with extensive physical cooling and heat recovery. Through the introduction of appropriate operation algorithms, the article aims to highlight the high energy saving potential on indoor space conditioning, by exploiting physical cooling and heat recovery processes. The proposed algorithms are evaluated with a case study for a hydro power plant building located in the area of Lugano, Switzerland, with significant cooling needs for the whole year, due to high internal heat gains from indoor electrical equipment. This fact enables physical cooling during winter, for the cooling load coverage, and heat recovery, for the concurrent heating load coverage in different thermal zones of the building. Analytical operation algorithms are developed for a VAV and a VRV system. Both algorithms are computationally simulated. With the VAV system, 86.1% and 63.7% of the annual cooling and heating demand, respectively are covered by physical cooling and heat recovery. With the VRV system, 58.5% of the annual heating demand is covered by heat recovery. The set-up cost of the VAV system is almost twice higher than the set-up cost of the VRV system.

Description: This article argues that the cruise terminal ports play a crucial role in the economic and socio-cultural sustainability of destinations, bridging the onshore tourism offered among cruise companies, global operators, and local business and infrastructures. They support the promotion of local brands and reduce congestion. The impact of crowds on the identity of coastal cities triggered the attention of academia and media, alerting for their negative impact, specifically from the Mediterranean cruises. In parallel, it raised the research interest on cruise tourism carrying capacity and ports planning the integration of cruise tourists’ flow. However, previous studies focused on the residents’ and passengers’ perception of a specific destination, neglecting the port management role. This study aims to clarify the underneath dynamics that allow sustainable cruise–land visit. Employing a qualitative case study approach, it compares data obtained from secondary sources and port executives’ structured deep interviews from two leading transit ports connected with the Mediterranean. Lisbon is amongst the most popular tourism destinations and international cruise terminals; Livorno is a gateway port to Tuscany, mainly Florence and Pisa. Despite their different patterns, in both ports of call, a strong concern with sustainability and a reduced congestion effect are observed from the management actions on promoting the local offer and on revitalizing the terminal infrastructures in order to provide comfort shopping and entertainment amenities to passengers.

Description: The protection of cultural heritage is essential to preserve the memory of the territory and its communities, but its enhancement is also important. In this perspective, the theme of choosing the best use for historic buildings, which often make up a substantial and widespread part of real estate and which can become a driving force for the sustainable development of cities, is important. These decision-making processes find effective support tools in Multi-Criteria Decision Making (MCDM) methods, able to consider the multiple financial, social, cultural, and environmental effects that the enhancement project generates. In order to identify the most appropriate evaluation approach to select the best use of the building, this paper proposes a comparison between some of the best-known MCDM methods: Analitic Hierarchy Process (AHP), ELimination Et Choix Traduisant la REalité (ELECTRE), Tecnique for Order Preference by Similarity to Ideal Solution (TOPSIS), and the Compromise Ranking Method (VIKOR). The comparative analysis gives rise to the validity of the AHP, which is useful for reducing the problem into its essential components, so as to make a rational comparison among the design alternatives based on different criteria. The novelty of the research is the characterization of the hierarchical structure of the model, as well as the selection of criteria and indicators of economic evaluation. The application of the model to a real case of recovery and enhancement of a former convent in the province of Salerno (Italy) verifies the effectiveness of the tool and its adaptability to the specificities of the case study.

Description: Understanding the spatial patterns of retail stores in urban areas contributes to effective urban planning and business administration. A variety of methods have been proposed in the scientific literature to identify the spatial patterns of retail stores. These methods invariably employ arbitrary grid cells or administrative units (e.g., census tracts) as the fundamental analysis units. As most urban retail stores are distributed along street networks, using area-based analysis units is subject to statistical biases and may obfuscate the spatial pattern to some extent. Using the street segment as the analysis unit, this paper derives the spatial patterns of retail stores by crawling points of interest (POI) data in Zhengzhou, a city in central China. Then, the paper performs the network-based kernel density estimation (NKDE) and employs several network metrics, including the global, local, and weighted closeness centrality. Additionally, the paper discusses the correlation between the NKDE value and the closeness centrality across different store types. Further analysis indicates that stores with a high correlation tend to be distributed in city centers and subnetwork centers. The comparison between NKDE and cell-based KDE shows that our proposed method can address potential statistical issues induced by the area-based unit analysis. Our finding can help stakeholders better understand the spatial patterns and trends of small business expansion in urban areas and provide strategies for sustainable planning and development.

Description: This paper provides a brief history review of the use of ancient weirs in fishing on our planet, as well as a pilot study that involves investigating and mapping the coastal heritage of ancient stone tidal weirs (STWs) in the Penghu Archipelago which is located in the Taiwan Strait. The spatial distribution and morphological features of STWs across Penghu Archipelago were investigated and analyzed using very high-resolution (VHR) and freely available Google Earth (GE) imagery and geographic information system (GIS) analysis tools. A total of 539 ground-truthed STWs were identified from multiple temporal GE images, and these accounted for over 90% of the localized inventory databases. The proposed GE-based method was found to be more efficient, timely and effective compared to field and airborne surveys. This paper illustrates the utility of GE as a source of freely available VHR remote sensing imagery for archaeological surveys and heritage sustainability in coastal areas.

Description: Urban gardening offers a viable option to improve diet diversity for the urban poor. Yet, its success rate is particularly dependent on the managerial capacities of urban gardeners to coordinate and organize collective actions for the successful exploitation of the gardens. The calls from governments to organize cooperative structures among farmers seem justified and merits a high priority on agricultural policy agendas. Although principles of cooperative structures exist, there is no blueprint available that indicates how to start a gardeners’ cooperation. Moreover, these collaborations need to ally with and build on existing social structures of the urban gardeners involved. Our research can contribute to this alignment process by exploring and comparing international standards of prevailing organizations and their functioning among 261 gardeners in two cities in Benin. We found that a vast majority of urban gardeners are members of a cooperation. Nevertheless, their membership is largely titular because gardeners mostly behave semi-autonomously and few decisions are taken collectively. The obvious economic advantages of leveraging bargaining power, reducing transaction costs, and increasing possibilities for loans are seriously underutilized. We suggest that capacity building can help to develop cooperation among urban gardeners to reach their full potential which, congruently, should also improve the livelihoods of the urban poor.

Description: Construction accidents are a significant hazard to the community, affecting sustainable development. This paper summarizes the safety situation of the construction industry in China over the past ten years. Detailed analysis is performed on fatal accidents that occurred in 2018 to reveal the spatiotemporal distribution pattern and characters of construction safety accidents. The construction failures are mainly attributed to management aspects rather than technical aspects. A case involving a major accident during shield tunnel construction in Foshan, Guangdong, in 2018 is investigated in detail. Strategic environmental assessment (SEA) is used to analyze the management issues of the Foshan metro project during planning, geological investigation, design, and implementation of construction works. The SEA result shows that the safety risk was very high with a low total SEA score. Based on the analysis, a guideline for safety construction management for sustainability is proposed.

Description: Energy consumption is a crucial factor to promote industrial sector contribution in an economy for its economic progression. Indeed, Pakistan is an emerging country, but recently adjoining with a very severe deficit of electricity sources. Hence, the industry value added growth leading to economic progression is also fronting inevitable challenges to promote the industry growth. The main objective of the study is to investigate the linkages between industrial sector oil, gas and electricity consumption, and renewable energy consumption with economic development in Pakistan. The findings display evidence of cointegration and a long-run relationship between the consumption of industrial energy and economic growth in Pakistan. The results showed that industrial electricity consumption and industrial gas consumption have a positive and statistically significant impact on economic growth both in the long run and the short run in Pakistan. Industrial oil consumption negatively impacts economic growth in the long run, but positively and statistically significantly impacts economic growth in the short run in Pakistan. Moreover, indications through the vector error correction model (VECM) model confirmed bi-directional relationships of industrial sector oil consumption and economic growth in Pakistan. Furthermore, the uni-directional nexus instituted between economic growth to industrial electricity consumption, industrial gas consumption to industrial electricity consumption, and industrial oil consumption to industrial electricity consumption. The findings uncovered solid interconnections among the studied variables and suggested that the Pakistani government should build a robust policy to diminish the oil, gas, and fossil fuels consumption for electricity production, as a replacement to depend on solar, hydro, wind, and biomass energy sources in Pakistan. Consequently, the government should promote more gas concentrated projects, as these will alleviate the contests of gas dearth and provide it to the industry at cheap prices with ease.

Description: International research and development organizations have acknowledged that localized agrifood systems, particularly geographical indications (GIs), are a lever for evolving towards sustainable agriculture. Such a premise is neither spontaneous nor systematic. Research and development organizations show their limit in proposing approaches to overcome this raised issue: The performance-based approach of sustainability, associated with a strict economical understanding of activities, is at stake. We propose the introduction of a values-based approach to the understanding of localized activities and their contribution to sustainability. We base our demonstration on the study of the relationships between stakeholders within GIs on a day-to-day basis: Corsica and Western Pyrenees (WP) are regions where traditional cheeses (respectively GI Brocciu and GI Ossau-Iraty) are produced with ewe milk. We build a typology of relationships between farmers providing the milk and dairies, based on the theory of worlds of worth (from industrial to artisanal). We cross-reference it with values given to milk and cheese. Despite the framing role of GIs, milk is mainly valued according to industrial criteria of quantity and sound farming practices have no weightage. However, artisanal and civic initiatives have emerged using raw milk and fostering more sustainable practices, notably based on organic farming. Though those initiatives are currently marginal, they might be promising seeds of change.

Description: The increasing spread of conservation agriculture demands that the next generation of wheat varieties includes cultivars capable of maintaining satisfactory yields with lower inputs and under uncertain climate scenarios. On the basis of the genetic gains achieved during decades of selection oriented to yield improvements under conventional crop management, it is important that novel breeding targets are defined and addressed. Grain yield, yield-related traits, and phenological and morphological characteristics, as well as functional quality parameters have been analyzed for six varieties each of bread and durum wheat, under minimum tillage and no-tillage. During the three-year experiment, the climatic conditions at the field trial site were characterized by low rainfall, although different degrees of aridity—from moderate to severe—were experienced. Differences were found between these two soil management practices in regard to the varieties’ yield stability. A positive influence of no-tillage on traits related to grain and biomass yield was also evidenced, and some traits among the examined seemed involved in varietal adaptation to a particular non-conventional tillage system. The study also confirmed some breeding targets for improved performance of wheat genotypes in conservation agroecosystems. These traits were represented in the small set of traditional varieties analysed.

Description: Agriculture sustainability assessment is conducive to promoting sustainable agriculture construction and sustainable development. Modern agriculture and modern small-peasant production have different requirements for agriculture sustainability. Related studies provided assessment frameworks for many parts of the world. However, existing frameworks have distinct limitations and are not applicable to modern small-peasant economy (MSE) areas, such as China. The purpose of this study is regarding China as an example to construct a healthy farmland system assessment framework (HFSAF), to assess smallholder farmland systems’ sustainability. HFSAF’s theoretical basis, indicator system, data preparation methods, multi-level aggregation rule and results description method are presented in this paper. HFSAF is a multi-level indicator system with adjustable parameters, covering environment, economy and society aspects, including three dimensions, nine visions, 15 themes and 40 basic indicators. Taking Da’an City, Jilin Province, China as the study area to implement HFSAF. The assessment results prove HFSAF can be used to assess agricultural sustainability in MSE areas with limited agro-resource supplies, to assist the sustainable decision-making and regional agriculture remold.

Description: The increasingly serious destruction of the natural environment represents a great threat to the sustainable development of human beings and the earth. Under pressure from the government and public opinion, companies must assume environmental responsibility; however, there is no conclusion on whether corporate environmental responsibility is beneficial to companies. From the perspective of investment efficiency, this paper collects panel data from Chinese listed companies from 2011 to 2016 to discuss the impact of corporate environmental responsibility on investment efficiency and the moderating role of the institutional environment and consumer environmental awareness. The results show that corporate environmental responsibility can significantly positively affect investment efficiency, but this effect is not a short-term effect; it needs time to play a role. Second, in regions with a good institutional environment, corporate environmental responsibility has a more significant impact on improving investment efficiency. Finally, with the improvement of consumer environmental awareness, companies that assume environmental responsibility can address underinvestment. The research in this paper supports stakeholder theory, indicating that corporate environmental responsibility is not “selfless dedication”. In addition, the research results of this paper are robust and not subject to endogenous influences.

Description: Increased rail competitiveness has been the objective of many countries around the world, including member states of the EU. Although railway market liberalization has always been accompanied by high expectations of increased efficiency and competitiveness, the overall impact of such decisions can be considered controversial. This paper aims to contribute to the scientific debate by conducting a factor analysis of some East-Central European countries from the aspect of rail freight competitiveness. Since many highly correlated factors influence competitiveness, its mathematical–statistical representation and analysis is difficult due to the high number of dimensions of the factor space. Moreover, competitiveness cannot be measured directly only as a latent variable which is a feature of Principal Component Analysis (PCA). The introduced PCA, model by way of reducing the number of dimensions, can highlight the relations among the attributes and determine the most crucial issues capable of increasing rail competitiveness in the given countries and also of clustering those national railway markets. Recommendations for structural changes in national rail freight markets of the region are also supplied. Our results show that international rail competitiveness depends rather on market efficiency than on market liberalization due to the fact that the Global Competitiveness Index and Export/Import attributes did not significantly correlate with market concentration. As for the larger domestic rail freight sectors, small freight forwarders—spawned by liberalization—are shown to play a significant role in increasing competitiveness.

Description: One of the most important parameters in sustainable urban land valuation is the risk premium. Correct assessment of the risk premium is essential for sustainable valuation. Generally, it is estimated that traditional financial models or historic rates do not take into account the specific risk factors of an investment project. In this paper, we propose a sustainable model to obtain it. It is based on investment risk factors and the urban planning land development stages. We conducted a study in Badajoz, Spain, on four urban stages: first, land without an execution program; second, land with an execution program; third, land with reparceling; and fourth, fully developed and urbanized land. We calculated one different risk premium value for each urban stage. The results show that with this model, we can obtain the risk premium at any time during urban planning development. The urban stage is one of the most influential factors in the risk premium value. It decreases during urban planning development, and fully developed and urbanized land has a lower risk premium.

Description: The sustainability of the human settlement space environment is an eternal subject of human exploration. There hides the idea of human settlement space in an externally displayed material environment. This paper takes Dai villages in Xishuangbanna, Yunnan as the research object. Dai villages are the place where the ancestors of Dai people live, produce, and collectively construct human settlement, production, and spirit. Taking field investigation data and maps of Dai settlement areas as data sources, this paper explores Dai people’s view of human settlement space, analyzes the spatial cultural connotation of Dai villages, and the concept of sustainable human settlements ecology through the analysis of the factors of the villages’ spatial form. The survey results are as follows: (1) the villages are usually located at river valleys and basin areas, which are characteristic of facing the sun and near the water, embodying the persevering ecological concept of “adapting to local conditions and coexisting with nature”. (2) Dai people are one of the earliest “rice-growing nationalities”. Dai people’s settlements have formed a sustainable human settlement ecological space and the spatial pattern of “water-forest-field-village” is an organic whole. (3) The combination of Dai’s primitive religious ecology and Southern Buddhist culture has formed the characteristic of “advocating nature and Buddhism” and a unique concept of settlement space.

Description: The smart cities are considered to be an engine of economic and social growth. Most countries started to convert their existing cities into smart cities or construct new smart cities in order to improve the quality of life of their inhabitants. However, the problem that facing those countries while applying the concept of smart cities is the costs, especially for the residential sector. Despite the high initial and even operation costs for adopting different technologies in smart housing; the benefits could exceed those costs within the lifespan of the project. This article is shedding the light on the economics of smart housing. This study aims to evaluate the net present value (NPV) of a smart economic housing model to check the viability and feasibility of such projects. The calculation of the NPV based on Monte Carlo simulation provides an interesting methodological framework to evaluate the robustness of the results as well as providing a simple way to test for statistical significance of the results. This analysis helps to evaluate the potential profitability of smart housing solutions. The research ends up by proving the feasibility of this type of project.

Description: The administrative turn to urban regeneration in South Korea prompts an examination into the social aspects of sustainability for project areas. This retrospective study used social network analysis (SNA) to compass the 2015–2018 formation of Jangwi urban regeneration community, with average degree, centralization, and efficiency for network level and degree for individual level. The study aimed to identify the network’s structural characteristics in terms of relationships and social linkage. Average degree results note a rise in social exchange (2015: 0.609; 2018: 4.060), while the 2018 centralization value (〈0.5) and community efficiency indicate how such network communication is dependent on key influencers. Introduced is a visual and quantitative analysis method for community networks that may warrant urgent attention in the field of Korean urban regeneration, as it provides potential strategies for governments and administrations to accomplish sustainable and strategic goals.

Description: A structural progressive collapse is usually a local failure, in which the damage is concentrated at beams that bridge the removal column and the column itself. In many cases, retrofitting the damaged structure is more economical and more sustainable than reconstructing the entire structure. A progressive collapse test of a 1/3 scale, four-bay by two-story reinforced concrete (RC) frame was conducted, after which the structure was retrofitted with carbon fiber reinforced polymer (CFRP) wraps and retested. The center column in the first story was removed and the frame was pushed down quasistatically under displacement control to investigate the progressive collapse performances of the retrofitted RC frame. The test results were represented systematically at different areas in terms of the resistance forces, crack developments, and local and global failure modes. Numerical models were built to verify the test frame before and after the retrofitting. A design method was proposed to retrofit an RC frame using CFRP wraps after a progressive collapse. The test frame was redesigned to improve the retrofitting and used as an example to demonstrate the rationality of the proposed retrofit design method. The results indicated that the proposed retrofitting technology rapidly restored the frame structure to its original capacity before the progressive collapse occurred, whilst consistently satisfying the priorities of being economical and sustainable.

Description: The aim of this article is to modify the parameters and thus the objective function of the deterministic model of inventory theory so that other important aspects, which influence inventory management, can be taken into consideration. These aspects include the nature of inventory consumption, the share of inventories in sales, the capacity of means of transport and, above all, the reliability of suppliers. This goal is achieved by performing sophisticated and specific calculations for the individual parameters in the modified model. The modification of the objective function of the deterministic model has created a new multi-criteria model. The outcome of this model sought to optimize the supply process in a way that minimizes the risks associated with a lack of inventories while maintaining the economic effectiveness thereof. The model effectiveness is examined by comparing the application of the deterministic model and the proposed model with modified objective function. The results of applying these individual models have been produced based on calculations of indicators showing inventory management effectiveness—the speed of inventory turnover and the average number of inventories in storage.

Description: This study aims to estimate the value of El Niño-Southern Oscillation (ENSO) forecasting to China’s agricultural sector. This study applies the Weibull distribution to model crop yields under different ENSO phases. Under the framework of Bayesian decision theory, this research pioneers the application of China’s Agricultural Sector Model to translate the yield effects resulting from ENSO variations into economic effects. Results show that ENSO exerts noticeable and heterogeneous effects on crop yields over selected crops across different regions. In addition, ENSO forecasting is useful for farmers’ cropping decisions and positively impacts economic surplus. The findings present that the value of this information is generally positive and rises with improved forecast accuracy, with the value of perfect forecasting estimated to be as substantial as CNY 3168 million. However, the value of ENSO forecasting is relatively small in the context of China’s tremendous agricultural output. This study is the first to evaluate the value of ENSO forecasting to China’s agriculture sector and has critical implications for the promotion of a Chinese ENSO forecast system.

Description: The livelihood of the people in the Himalayan range of Pakistan is largely dependent on the cultivation of fruits. Apricot and apple are the major fruits of this region, which are marketed throughout the country and also exported to other countries. Due to high perishability and the poor farm-to-market infrastructure in the region, farmers are unable to get maximum returns. This study was conducted keeping in view the importance of the region and the impacts of fruits on the livelihood of the farmhands. Cross-sectional data from 200 respondents were collected through a multistage random sampling technique. Factor analysis was employed to find out the constraint in the apricot production and propensity score matching estimates were employed to see the impact of apricot production on the farming communities in the study area. The results of the factor analysis show the most important group of constraints in the growth of the apricot industry is awareness, which is an internal factor. This is followed by production, policy, and marketing constraints. The least important is processing technology. Furthermore, the results show that apricot production has a significant positive impact on decreasing the poverty level of the household, depicting a great potential for the development of resilient livelihoods.

Description: Aging, shrinking cities, urban agglomerations and other new key terms continue to emerge when describing the large-scale population changes in various cities in mainland China. It is important to simulate the distribution of residential populations at a coarse scale to manage cities as a whole, and at a fine scale for policy making in infrastructure development. This paper analyzes the relationship between the DN (Digital number, value assigned to a pixel in a digital image) value of NPP-VIIRS (the Suomi National Polar-orbiting Partnership satellite’s Visible Infrared Imaging Radiometer Suite) and LuoJia1-01 and the residential populations of urban areas at a district, sub-district, community and court level, to compare the influence of resolution of remote sensing data by taking urban land use to map out auxiliary data in which first-class (R1), second-class (R2) and third-class residential areas (R3) are distinguished by house price. The results show that LuoJia1-01 more accurately analyzes population distributions at a court level for second- and third-class residential areas, which account for over 85% of the total population. The accuracy of the LuoJia1-01 simulation data is higher than that of Landscan and GHS (European Commission Global Human Settlement) population. This can be used as an important tool for refining the simulation of residential population distributions. In the future, higher-resolution night-time light data could be used for research on accurate simulation analysis that scales down large-scale populations.

Description: Over the past forty years, income growth for the middle and lower classes has stagnated, while the economy (and with it, economic inequality) has grown significantly. Early automation, the decline of labor unions, changes in corporate taxation, the financialization and globalization of the economy, deindustrialization in the U.S. and many OECD countries, and trade have contributed to these trends. However, the transformative roles of more recent automation and digital technologies/artificial intelligence (AI) are now considered by many as additional and potentially more potent forces undermining the ability of workers to maintain their foothold in the economy. These drivers of change are intensifying the extent to which advancing technology imbedded in increasingly productive real capital is driving productivity. To compound the problem, many solutions presented by industrialized nations to environmental problems rely on hyper-efficient technologies, which if fully implemented, could further advance the displacement of well-paid job opportunities for many. While there are numerous ways to address economic inequality, there is growing interest in using some form of universal basic income (UBI) to enhance income and provide economic stability. However, these approaches rarely consider the potential environmental impact from the likely increase in aggregate demand for goods and services or consider ways to focus this demand on more sustainable forms of consumption. Based on the premise that the problems of income distribution and environmental sustainability must be addressed in an integrated and holistic way, this paper considers how a range of approaches to financing a UBI system, and a complementary market solution based on an ownership-broadening approach to inclusive capitalism, might advance or undermine strategies to improve environmental sustainability.

Description: This investigation aims to explore the moderating role of volunteers’ age in the relation between motivations for volunteering and, respectively, satisfaction with volunteerism and emotional exhaustion. A longitudinal study was conducted with a sample of 241 Spanish healthcare volunteers. Results show that volunteers’ age moderates the relations between social motivations and satisfaction, and social motivations and volunteers’ emotional exhaustion, and also between growth motivations and satisfaction, and volunteers’ emotional exhaustion. The relationships between security motivations and satisfaction and emotional exhaustion are not moderated by age. Our findings underline that, for younger volunteers, satisfaction decreases when social motives are high, rather than low, and, in the opposite, emotional exhaustion increases when growth motives are high, rather than low. For older volunteers, instead, the only significant effect concern satisfaction, which is higher when social motives are high, rather than low.

Description: Historic centers have suffered different processes of neglect, occupation, segregation, gentrification, and touristification as a result of changes in demand and policies. Currently, they are going through a homogenization process motivated by tourist pressure, which is causing the expulsion of the local population; this is a common topic of interest for media and political agendas, which requires scientific analysis. This research aims at identifying the winning and the losing tourist groups in the historic center of Seville. It is structured in two parts: a conceptual one based on the bibliographic review with which one wants to know how the current society responds to tourist pressure through defining and characterizing the processes of substitution of uses and inhabitants, and another empirical one in which the analysis of statistical indicators (demographic, economic, and residential) treated with Geographic Information System (GIS) allows us to measure the degree of existing vulnerability and analyze social and spatial effects caused by the tourism in Seville.

Description: This study aimed to explore the relationships among ethical leadership (EL), affective commitment (AC), work engagement (WE), and employees’ creativity (EC). In total, 233 Chinese public sector employees completed the survey in three phases. We used confirmatory factor analysis (CFA) and structural equation modeling (SEM) to analyze the data. The paper found positive relationships between EL and WE and with EL and EC. The results further revealed that AC partially mediates the EL-WE relationship, while both AC and WE fully mediate the relationship between EL and EC. Testing these relationships via a multiple-mediated approach significantly contributed to the existing research on leadership.

Description: To balance multiple objectives of high yield by farmers, high quality by customers, and high irrigation water use efficiency (IWUE) for sustainable development of agriculture, a two-growing-season study was performed to test the effect of aeration at three irrigation levels (60%, 80%, and 100% of full irrigation) on crop growth, nutrient uptake, yield, IWUE, and fruit quality of tomato. The results showed that compared to the control, aeration significantly increased total dry weight at harvest, total N and K accumulation, which increased tomato yield by 23% and IWUE by 23% (p 〈 0.05). Yield and IWUE were significantly affected by irrigation with the increasing rate of 20.5% and 14.3% for yield, and with the decreasing rate of 27.7% and 8.6% for IWUE under 100% of full irrigation than that under 60% and 80% of full irrigation, respectively. Aeration positively impacted fruit quality while irrigation had a negative impact (p 〉 0.05). Based on these indicators, full irrigation with aeration could be an appropriate schedule for greenhouse tomato cultivations by the entropy evaluation method with the comprehensive score of 0.879 and 0.77 for the spring-summer and autumn-winter season, respectively. The result is of great significance to the farmers’ or researchers’ management of aerated irrigation in greenhouse tomatoes.

Description: The implementation of sustainable water management practices, through the recycling and reuse of water, is essential in terms of minimizing production costs and the environmental impact of the food industry. This problem goes beyond the classical audit and housekeeping practices through developing a systemic water-using reduction strategy. The implementation of such an approach needs R&D development, especially for the food industry, where there is a lack of knowledge on: (a) process integration and (b) data on the pollutant indicators or (c) volumes of water used and discharged at specific steps of the food processing line. Since energy pinch analysis emerged, different variations of pinch methods have been developed. As a variation of pinch, Water pinch analysis is a global and systematic approach to minimize water consumption and discharges, especially for the most energy-intensive and water-consuming factories. Based on the nature of the food industry, the real systems are complex, multi-source multi-contaminant systems, the problem should be well formulated, including mathematical constraints (inequalities thresholds). Current work has reviewed comprehensive literature about different variations of pinch analysis. In continue, water pinch method deeply discussed and some relevant data concerning the water using process and pollutant indicators have been reviewed with emphasis on the food industry sector.

Description: One of the major challenges toward the reliable and safe operation of the Multi-Terminal HVDC (MT-HVDC) grids arises from the need for a very fast DC-side protection system to detect, identify, and interrupt the DC faults. Utilizing DC Circuit Breakers (CBs) to isolate the faulty line and using a converter topology to interrupt the DC fault current are the two practical ways to clear the DC fault without causing a large loss of power infeed. This paper presents a new topology of a fast proactive Hybrid DC Circuit Breaker (HDCCB) to isolate the DC faults in MT-HVDC grids in case of fault current interruption, along with lowering the conduction losses and lowering the interruption time. The proposed topology is based on the inverse current injection technique using a diode and a capacitor to enforce the fault current to zero. Also, in case of bidirectional fault current interruption, the diode and capacitor prevent changing their polarities after identifying the direction of fault current, and this can be used to reduce the interruption time accordingly. Different modes of operation of the proposed topology are presented in detail and tested in a simulation-based system. Compared to the conventional DC CB, the proposed topology has increased the breaking current capability, and reduced the interruption time, as well as lowering the on-state switching power losses. To check and verify the performance and efficiency of the proposed topology, a DC-link representing a DC-pole of an MT-HVDC system is simulated and analyzed in the PSCAD/EMTDC environment. The simulation results verify the robustness and effectiveness of the proposed HDCCB in improving the overall performance of MT-HVDC systems and increasing the reliability of the DC grids.

Description: Tourism, and particularly residential tourism, has led to a change in the urban and demographic model of towns along the European Mediterranean coastline. Water as a resource limited and limiting for the growth of tourism is a popular topic in the scientific literature. However, the incorporation of non-conventional resources (desalination) has meant, in theory, that this limitation has been overcome. The aims of this paper are: (a) to identify the different tourism models existing in coastal towns in Alicante province and characterize them according to their water consumption from 2002–2017; and (b) analyse the hydrosocial cycle, highlighting the measures aimed at satisfying water demand and identifying the limitations related to these hydrosocial systems. To this end, different types of information have been processed, and various basic indicators have been analysed. The results revealed the increase in the resilience of this region to natural aridity and drought events. This was possible because the demand management and the use of desalinated water. However, this has generated other problems associated (energetics, environmental) due to maintenance of a non-sustainable territorial model based on an accelerated real estate development.

Description: Professional expert directors extensively influence corporate corruption disclosure (CCD), while higher political connections may exacerbate corporate management. This study investigates the relationship between the presence of external experts on a board and CCD, as well as the moderating effect of political connections, on the positive role of legal experts in CCD. The study combines agency, resource dependence and stakeholder theories to show how resourceful directors on the board can promote corruption disclosure. Using data on listed firms in the Bangladeshi financial sector, the study analyzes 247 firm-year observations from 2012 to 2016. The results of a multiple regression analysis indicate that accounting experts, legal experts, political connections and corporate media visibility each have a positive and significant influence on CCD. Moreover, the moderating effect of political connections on the relationship between legal experts and CCD is negative and significant due to their higher political influences. The study has significant implications for corporate governance and for policies concerning the development of the economy while reducing corruption.

Description: For thousands of years, cities have evolved with changing needs. Cities are like living organisms, which are exposed to transformations as a result of changing needs and requirements. City centres are one of the attractive, essential, and vital parts of the city that are also affected by these changes. Specifically, historic city centres, which refer to the origins of the city, will be discussed within this context. Urban design aims to shape our cities with better quality and provide better places for everyday life. In addition, urban regeneration can be utilized as generic public policy for solving problems and providing physical improvements for these cities. Although the problems that emerge in each city are similar, sometimes they change circumstantially. As a result, the planning, implementation, and management of urban regeneration projects as well as their sustainability can produce serious complications. This article focuses on the process of urban regeneration, historic city centres, and the Mediterranean region and aims to develop an applicable regeneration framework for historic city centres limited to the Mediterranean region. First, the main problems of these cities are described. Next, characteristics of historic city centres and associated problems of the Mediterranean region are explained. Subsequently, the concept of urban regeneration is clarified, and the processes involved are discussed. Finally, an applicable urban regeneration framework for historic Mediterranean city centres, developed by the authors, is explained with the goal to reduce social segregation while incorporating the contributions of views from both local inhabitants and stakeholders in the process. The methodology of the overall research presented in this article is mainly based on a critical review of primary and secondary documents from the literature through a comparative and exploratory approach.

Description: Reducing food imports and promoting domestically produced food commodities are long-standing goals for policymakers and other stakeholders in sub-Saharan African countries. For instance, Tanzania, after a long period of dependency on imported food commodities, such as sugar and edible oils, intends to meet its demand for these commodities through domestic production by transforming its agriculture sector to achieve this goal. Applying a general computable equilibrium (CGE) model, this study determines the multiplier effects of technological progress that is assumed to foster domestic edible oilseed crop production, other crops, and Tanzania’s economy in general. Findings from the model establish an increase in domestic production not only for the edible oilseed crops but also for other commodities from other sectors of the economy. In addition, there is a decrease in prices on domestically produced commodities sold in the domestic market, and an increase in disposable income is predicted for all rural and urban households, as well as government revenues. Based on model results, we recommend that the Tanzanian government invests in technological progress and interventions that increase production in sectors such as agriculture, where it has a comparative advantage. Interventions that increase smallholder farmer’s production, such as the use of improved seed and other modern technologies that reduce costs of production, are critical for reducing food imports and improving food security.

Description: This study aimed to define the use of product–service system (PSS) associated with laundry businesses, such as coin-operated self-service laundromats (CL) and laundry services (LS), in order to get a better understanding of the environmental implications of PSS in laundry habits in Bangkok, Thailand. The motivation to use PSS could vary according to the specific consumer needs often defined by cultures, and therefore the environmental impacts from the PSS use would result differently from country to country. Questionnaires and in-depth interviews were conducted with Bangkok residents to determine the laundry habits related to the use of PSS. As a result, the use of private washing machines (PW) was found to be the main option, and CL and LS were used as an additional option in the laundry habits. The most widely observed use pattern in Bangkok was the use of CL as an alternative to PW instead of buying a new machine for a new life in dormitories or other residences away from home. At that time, hand washing (HW) was also used for saving money and for the cleanliness. Regarding the environmental potential, the relationship between the PSS users and laundry habits was specifically analyzed. The group who uses PSS frequently tended to do laundry less often than those who only use PW. Meanwhile, the need for even more services is also expected to increase among the PSS users. The need to improve the quality of laundry is expected to increase with the improvement of quality of living in Bangkok in the near future. However, at the same time, these observations imply that a change of consumer behaviors related to the use of PSS determines the resulting energy consumption and environmental burdens. To further clarify sustainable consumption and production systems, a quantitative analysis of the environmental impact of the laundry habits remains as a future task.

Description: This paper draws on postcolonial feminist political ecology theory, feminist theories of violence and new materialist approaches to sport and physical cultural studies—combined with literature on the role of non-humans in international development—to unpack the connections between gender-based violence and the environment in sport, gender and development (SGD) programming in Nicaragua. To do this, postcolonial feminist participatory action research (PFPAR), including visual research methods such as photovoice, was used to better understand, and prioritize, young Nicaraguan women’s experiences of the environment and gender-based violence as they participated in an SGD program used to promote environmentalism and improve their sexual and reproductive health rights. To conclude, the importance of accounting for the broader physical environment in social and political forces was underlined as it shapes the lives of those on the receiving end of SGD interventions.

Description: Building refurbishment plays a key role in the de-carbonization of the European building stock. Whilst the renewal of the thermal envelope increases energy efficiency during the operational phase, the type of material is highly relevant for the overall environmental impact of the refurbishment. Expanded polystyrene (EPS) is most widely used for external thermal insulation systems but is also a material based on fossil resources. Thus, alternatives made from renewable raw materials must be more widely used in order to reach the climate goals. However, comparable data on long-term material effects over the life cycle are needed for developers and planners to make informed decisions. In a Viennese case study for the largest social housing property manager in Europe, two different façade systems have been analyzed to assess the overall environmental impact of the materials. In a comprehensive life cycle assessment, a Multi-Active Façade system based on recycled paper has been compared with a conventional external thermal insulation composite system (ETICS) using EPS. It shows that whilst the evaluation during the operational phase alone results in a similar ecological footprint of the ETICS, the analysis over the whole life cycle provides a clear positive indication for the novel Multi-Active Façade.

Description: Responding to the lack of empirical research on the effect of collective intelligence on open innovation in the fourth industrial revolution, we examined the relationship between collective intelligence and open innovation. Collective intelligence or crowd innovation not only produces creative ideas or inventions, but also moderates any firm to innovate inside-out, outside-in, or in a coupled manner. We asked the following research questions: Does collective intelligence (or crowd innovation) motivate open innovation? Is there any difference in the effect of collective intelligence on open innovation by industry? These research questions led to the following three hypotheses: (1) Collective intelligence increases the performance of a firm, (2) collective intelligence will moderate the effect of open innovation, and (3) differences exist between the automotive industry and the pharmaceutical industry in these two effects. To empirically examine these three hypotheses, we analyzed the registered patents of these two industries from 2000 to 2014 over a 15-year period. These automotive and pharmaceutical patents were registered in the B60 category and the A61K category of the Korea Patent office, respectively. Collective intelligence was measured by co-invention. We found differences in the effects of collective intelligence on open innovation between the two industries. In the automotive industry, collective intelligence not only directly increased the performance, but also indirectly moderated the open innovation effect. However, this was not the case for the pharmaceutical industry.

Description: Many techniques including logistic regression and artificial intelligence have been employed to explain school-goers mode choice behavior. This paper aims to compare the effectiveness, robustness, and convergence of three different machine learning tools (MLT), namely the extreme learning machine (ELM), support vector machine (SVM), and multi-layer perceptron neural network (MLP-NN) to predict school-goers mode choice behavior in Al-Khobar and Dhahran cities of the Kingdom of Saudi Arabia (KSA). It uses the students’ information, including the school grade, the distance between home and school, travel time, family income and size, number of students in the family and education level of parents as input variables to the MLT. However, their outputs were binary, that is, either to choose the passenger car or walking to the school. The study examined a promising performance of the ELM and MLP-NN suggesting their significance as alternatives for school-goers mode choice modeling. The performances of the SVM was satisfactory but not to the same level of significance in comparison with the other two. Moreover, the SVM technique is computationally more expensive over the ELM and MLP-NN. Further, this research develops a majority voting ensemble method based on the outputs of the employed MLT to enhance the overall prediction performance. The presented results confirm the efficacy and superiority of the ensemble method over the others. The study results are likely to guide the transport engineers, planners, and decision-makers by providing them with a reliable way to model and predict the traffic demand for transport infrastructures on the basis of the prevailing mode choice behavior.

Description: To build sustainable smart energy cities (SECs) around the world, many countries are now combining customized services and businesses within their energy infrastructure and urban environments. Such changes could then promote the development of platforms that ultimately provide benefits for citizens such as convenience, safety, and cost savings. Currently, the development of technologies for SECs focuses on independent products and unit technology. However, this is problematic, as it may not be possible to develop sustainable cities if there is a lack of connectivity between various elements within the SEC. To solve such problems, this paper presents an AI-based physical and virtual platform using a 5-layer architecture to develop a sustainable smart energy city (SSEC). The architecture employs both a top-down and bottom-up approach and the links between each energy element in the SSEC can readily be analyzed. The economic analysis based on return on investment (ROI) is carried out by comparing the economic benefits before and after the application of this system. Deploying the proposed platform will enable the speedy development and application of new services for SSECs and will provide SSECs with measures to ensure sustainable development, such as rapid urban development, and cost reductions.

Description: A need for the disposal of poultry manure and the reduction of its impact on the environment encourages the search for cleaner and more efficient ways to utilize and recycle production waste. It is known that granulated ash and manure are the most effective alternatives for ash and manure recycling, as compared to the unprocessed product. This paper presents an investigation of ash and poultry manure recycling for granulated fertilizers. Accepted standard experimental methods were used. The physical and mechanical characteristics of the granules, elemental composition ratio, and the process of compression of the raw material mill were determined experimentally. This research shows that, when a higher ash concentration was determined, the initial bulk density was larger and the density and pressure in the granulation process increases faster. The content of ash in the raw material increased granule strength; however, when increasing the ash mass in the raw material from 25% to 50%, energy consumption increased from 6.59 kJ·kg−1 to 17.72 kJ·kg−1. The process of compression of the raw material mill was obtained in two stages. In the first stage of compression, the mass density varied from 3–11 kg·m−3 and the pressure varied from 1.25–8.27 MPa. In the second pressure stage, the mass deformation was elastic and the pressure process was described by indicator functions.

Description: Abandoned lead and zinc (Pb-Zn) mines around the world produce large amounts of acid mine drainage (AMD) containing Pb(II), which is toxic and accumulates in the environment and in living organisms. Bentonite-steel slag composite particles (BSC) are a new type of acid mine drainage (AMD) treatment material that can remove heavy metal ions and reduce acidity. To date, there have been no reports on the treatment of Pb(II)-containing AMD using BSC. Therefore, the effects of pH, reaction time, temperature, and Pb(II) concentration on the adsorption of Pb(II) onto BSC were studied. Moreover, the BSC before and after the reaction, as well as the precipitation after the reaction, were characterized by scanning electron microscopy and X-ray diffraction analyses. The effect of pH on the adsorption process is similar to that of the formation of soluble and insoluble hydrolysates of Pb(II) on pH. The adsorption mechanism includes ion exchange, complexation, precipitation, and synergistic adsorption–coagulation effect. Adsorption kinetics are best-fit with the pseudo-second order kinetics model ( R 2 〉 0.98). Furthermore, the total adsorption rate is controlled by liquid film diffusion and in-particle diffusion, the liquid film diffusion rate being higher than the in-particle diffusion rate. The isothermal adsorption of Pb(II) onto BSC fit well with Langmuir and Brunauer Emmett Teller (BET) isotherms ( R 2 〉 0.995), and both single layer adsorption and local multilayer adsorption were observed. Thermodynamic analysis revealed that the adsorption process is spontaneous and endothermic, and that the degree of freedom increases with time. In summary, this study provides a theoretical basis for the use of BSC in treating AMD containing Pb(II).

Description: The current digitalization trend, the increased attention towards sustainability, and the spread of the business analytics call for higher efficiency in port operations and for investigating the quantitative approaches for maritime logistics and freight transport systems. Thus, this manuscript aims at enabling analytics-driven improvements in the port transportation processes efficiency by streamlining the related information flow, i.e., by attaining shorter time frames of the information and document sharing among the export stakeholders. We developed a case study in a mid-sized European port, in which we applied Process Mining (PM)—an emerging type of business analytics—to a seven-month dataset from the freight export process. Four process inefficiencies and an issue that can jeopardize the reliability of the time performance measurements were detected, and we proposed a draft of solutions to cope with them. PM enabled enhancements in the overall export time length, which might improve the vessels’ turnover and reduce the corresponding operational costs, and supported the potential re-design of performance indicators in process control and monitoring. The results answer the above-mentioned calls and they offer a valuable, analytics-based alternative to the extant approaches for improving port performance, because it focuses on the port information flow, which is often related to sustainability issues, rather than the physical one.

Description: Background: The aim of the present study was to evaluate teachers’ opinions on the use of Personal Learning Environments (PLE) for the development of students’ intercultural competences. Methods: This investigation carried out a thematic analysis of semi-structured interviews applied to a sample of n = 100 Compulsory Secondary Education teachers in Andalusia (Spain) with an average teaching experience of 13.13 years (SD = 6.63). The interview shows excellent content validity (Content Validity Index for the interview overall, S-CVI = 0.94). The concordant codes and sub-codes were established in the analysis with the participation of two researchers and an external expert. Then, the data was analyzed using NVivo software. Results: The results show the opinions of the teachers grouped into six separate codes: intercultural learning communities, learning improvement, intercultural development of the student, disinformation, inapplicability, and inappropriate use. Conclusions: In general, it is concluded that the teachers consider the benefits of using PLE in the development of students’ intercultural competences. Despite this, some opinions reveal a lack of training and motivation, or the lack of ability teachers have on the subject, as well as in their classrooms, with the result that the PLE is not applicable for intercultural education.

Description: A necessary condition for economic development and raising living standards in Slovakia is to address employment issues in a way that would inter alia contribute to employment sustainability. This important fact mirrors in the study that directly analyses the employability and sustainability of young unemployed jobseekers, participants of the intervention “Graduate Practice”, in the Slovak labour market in 2014–2017 by applying a counterfactual approach. The intervention is one of the active policy measures in the labour market, and its implementation is subject to the specifics of the excluded group of the unemployed. Its aim is to help the members of the group find a job and gain work experience and habits. The impacts of the intervention on the employability and sustainability of young graduates were evaluated based on real data using the caliper-matching technique, the technique of the propensity score-matching method. The intervention database was relatively robust and included 42,626 participants over a 24-month impact period. In the analysis, we considered both the effectiveness and efficiency of the Graduate Practice. The findings point to no or very weak effects of the intervention, especially to the long-term sustainability of jobs. However, its impact on the state budget we consider as positive due to the intervention’s ability to reduce total costs of unemployed graduates. From the methodology point of view, the use of the method is appropriate in finding possible imbalances in the active and passive policies of the labour market. The results of the study themselves have the explanatory power not only for Slovak policymakers but also for policymakers at the level of the European Union. The results are helpful in creating other interventions and setting their conditions for future periods to bring a desired effect on employability and sustainability of members of excluded groups in general.

Description: Language both represents and constructs our reality. Soil Security is a proposed new frame for encouraging the systematic and interdisciplinary approaches to soil research needed to address complex needs. This bold attempt at reframing may, however, have numerous consequences in addition to its central intent. This review paper explores words and discourses related to ‘Soil Security’. Current understanding of how language frames reality is presented, emphasising the roles of metaphor and entailments. Soil Security is then situated in relation to the broader construct of Environmental Security, with references to security of water, food and energy. Against this background, aspects of Soil Security are explored, and some cautions issued to users of the term. The soil science community is urged to actively consider the implications and nuances of any discourse, including that of Soil Security, with which it engages, or risk being led to operate in unintended or unwelcome ways. To guide this engagement, the review paper concludes with suggestions on how to reflect on the practice of soil science and its role in the future of humanity.

Description: In structural rehabilitation and strengthening, the structural members are often required to cope with larger design loading due to the upgrading of building services and design standard, while maintaining the member size to preserve the architectural dimensions and headroom. Moreover, durability enhancement by mitigating or eliminating the reinforcement corrosion problem is often desired. Concrete cracking is a major initiating and accelerating factor of the corrosion of steel reinforcement. The application of fibres is a prominent solution to the cracking problem. Furthermore, the fibres can increase the mechanical resistance of the strengthening systems. This study reveals the synergy effect of the combined application of steel fibres and external carbon fibre-reinforced polymer (CFRP) sheets. The investigation encompasses the use of fibre-reinforced polymer (FRP) reinforcing bars, discrete steel fibres, externally bonded and mechanically fastened FRP sheets in different combinations. It is discovered that the steel fibres can help to control concrete cracking and eventually alter the failure mode and enhance the flexural resistance. The FRP reinforcement system, together with the steel fibres, radically resolves the structural safety problem caused by corrosion of the steel bar reinforcement. Finally, the impact of the external sheet on the fire limit state performance needs to be resolved, such as by adopting fire protection rendering for the finishes layer.

Description: Rural revitalization is an important strategy to promote sustainable development of rural areas in China. Rural revitalization listed companies play an important role in implementing the rural revitalization strategy and developing the agricultural industry. However, the financing problem has always been a bottleneck problem with Chinese listed companies. This study used a two-stage DEA (data envelopment analysis) method to evaluate the funds raising efficiency, funds using efficiency, and overall financing efficiency of 34 rural revitalization listed companies in 2018. The results show that the financing efficiencies of 34 sample companies were low, only six companies have overall efficient financing, and there was much room for improvement. Financing efficiency varied greatly depending on the nature of the company, the industry, and the listing board. The efficiency of funds using of state-owned enterprises was much lower than that of private companies. The average efficiency value of agricultural company funds raising was lower than that of manufacturing. The efficiency of small and middle-size enterprises (SMEs) was lower than that of main board companies, but the growth enterprise market (GEM) companies achieved higher efficiency in the funds using. Further, by using the grey relational analysis (GRA) method, we found that the key factors affecting the financing efficiency of sample companies included capital structure, debt-paying ability, governance structure, company age, and operating ability. To improve financing efficiency, the companies should not only optimize their capital structure and governance structure but also improve their management and innovation capabilities. At the same time, the state also needs to give different policies support according to the characteristics of the companies.

Description: Drought, one of the most common natural disasters that have the greatest impact on human social life, has been extremely challenging to accurately assess and predict. With global warming, it has become more important to make accurate drought predictions and assessments. In this study, based on climate model data provided by the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP), we used the Palmer Drought Severity Index (PDSI) to analyze and project drought characteristics and their trends under two global warming scenarios—1.5 °C and 2.0 °C—in Central Asia. The results showed a marked decline in the PDSI in Central Asia under the influence of global warming, indicating that the drought situation in Central Asia would further worsen under both warming scenarios. Under the 1.5 °C warming scenario, the PDSI in Central Asia decreased first and then increased, and the change time was around 2080, while the PDSI values showed a continuous decline after 2025 in the 2.0 °C warming scenario. Under the two warming scenarios, the spatial characteristics of dry and wet areas in Central Asia are projected to change significantly in the future. In the 1.5 °C warming scenario, the frequency of drought and the proportion of arid areas in Central Asia were significantly higher than those under the 2.0 °C warming scenario. Using the Thornthwaite (TH) formula to calculate the PDSI produced an overestimation of drought, and the Penman–Monteith (PM) formula is therefore recommended to calculate the index.

Description: The purpose of this study is to determine the influence of organizations on millennial (born 1981–2000) employee well-being and task performance in the hospitality industry. Millennial employees are becoming the main workforce in hotels and their well-being is drawing greater attention in research and practice. Prior studies suggest that human resource management (HRM) bridges the organization and employees and has a significant influence on employee well-being in the hospitality industry. Additionally, the supervisor’s responsible leadership is a key factor influencing employees in a changing workforce. However, how do HRM and responsible leadership contribute to millennial employee well-being? Can employee well-being make a difference in the hospitality industry? Those questions remain unanswered. To address the two questions, this research aims to examine the interaction effects of HRM and responsible leadership on millennial employee well-being and the mediating effect of well-being between the HRM and responsible leadership on employee performance. The research hypotheses were tested with multiple linear regression analysis based on a survey of 243 millennial employees in the Chinese hospitality industry. The results indicated that HRM and responsible leadership have positive impacts on millennial employee well-being, which could improve task performance in the hospitality sector. In addition, responsible leadership strengthens the positive effect of HRM on employee well-being and task performance. In addition, the interaction effects of HRM and responsible leadership on performance are mediated by employee well-being. It is of practical value for hotels to know that millennial employee well-being can be fostered through improving HRM and responsible leadership.

Description: How to enhance the water footprint benefit in conjunction with outward foreign direct investment (OFDI) is of great significance to reconcile the contradiction between supply and demand of water resources. This paper examines the effect of OFDI on the water footprint benefit using system GMM (Generalized Method of Moments) on a dynamic panel data. The results revealed that, in general, OFDI was not conducive to enhancing social, spatial, and environmental benefits of China’s water footprint, but was conducive for improving water footprint economic benefits. The results also showed that different types of OFDI exert differential effects on water footprint benefits. Specifically, the market-seeking and resource-seeking types of OFDI are not conducive for enhancing social and spatial benefits of China’s water footprint, but have improved (although not significantly) economic benefits of the water footprint. However, the market-seeking type of OFDI is conducive for improving environmental benefits of the water footprint, while the resource-seeking OFDI is not conducive for improving environmental benefits of the water footprint. In addition, the technology-seeking OFDI is conducive to the social, economic, spatial, and environmental benefits of China’s water footprint. Furthermore, the path-wise OFDI (investing in developing countries) is not conducive to enhancing social, spatial, and environmental benefits of China’s water footprint, but has improved (although not significantly) the economic benefits of China’s water footprint. On the other hand, the inverse OFDI (investing in developed countries) is conducive to China’s water footprint including its social, economic, spatial, and environmental benefits. The findings from this study have relevant policy implications and can help provide some policy prescriptions for an economy such as China to engage in OFDI and enhance water footprint benefits. For instance, in addition to expanding market-seeking and resource- seeking OFDI, China should actively increase the scale of technology-seeking OFDI. In addition, while continuing to expand path-wise OFDI, China should further increase the scale of inverse OFDI. By taking advantage of the complementary and synergetic effects of different types of OFDI, an economy can capture the whole effects of OFDI to reap the water footprint’s full social, economic, spatial, and environmental benefits.

Description: Indirect carbon emissions caused by residential consumption has gradually become the key to the formulation of carbon emission reduction policies. In order to analyze the factors that influence the provincial residential indirect carbon emissions in China, comprehensive structural decomposition analysis (SDA) and logarithmic mean Divisia index (LMDI) models are established in this paper. The Liaoning province was selected due to its typical features as a province with higher urbanization rates. The model is based on input–output tables from 2002 to 2012, including those pertaining to the carbon emission coefficient (ΔF), energy intensity effect (ΔE), intermediate demand (ΔL), commodity structure (ΔS), residential consumption structure (ΔU), residential consumption ratio (ΔR), per capita GDP (ΔA) and population size (ΔP). The results show that the consumption of urban residents is the most common and significant section causing the growth of direct and indirect carbon emissions, both of which show an obvious upward trend. Nonmetal mining is the sector experiencing the greatest growth in indirect carbon emissions. The two most influential factors of indirect carbon emissions via the consumption of rural and urban residents are the intermediate demand effect (ΔL) and the per capita GDP effect (ΔA), respectively. Reducing energy intensity and optimizing commodity structures are the most effective ways to reduce indirect carbon emissions.

Description: Due to the lack of consensus on the Sustainable Disclosure (SD)–Sustainable Performance (SP) relationship and the absence of a robust theoretical framework base, this research tests this relationship. Based on Ullmann’s argument that the execution of corporate responsibility regarding SD, SP and EP (economic performance) is determined by the management’s (unobservable) overall strategy, we apply Partial Least Squares, introducing EP, size and membership in sensitive sectors and subjecting them to a multiplicity of external pressures (social, environmental and legislative) as determinants of the SD–SP link. There is a moderate SD–SP relationship, with a significant effect due to EP and conditioned by size. Specifically, (1) the companies that are concerned and which act sustainably have a higher SD, (2) the greater the EP, the greater its effect on this SD, but (3) when the sample is segmented by size, the moderating effect is only positive and significant for large companies. An awareness of the added value of the sustainable business model exists, more than simply reporting (actions beyond words), but the value that its profitability yields will not be determinant for SP, though it will affect SD, despite there being no direct relationship between performance and SD.

Description: Collaborative problem-solving (CPS) is highly valued in the sustainability of learning to foster the key soft power of talent for the future. In this study, a CPS learning application was built to train and assess individuals with the aim of increasing CPS skills. For effective learning to take place, several issues need to be carefully considered, and these were investigated while testing the proposed application. This study examined the impact of collaborative interactions (CIs) (human–computer agent (HCA) and human–human (HH) interactions) on the CPS performance of students. Gender and learning styles, which may have interaction effects with CIs on CPS performance, were also explored. The results show that the students’ CPS performance in HCA was significantly greater than that in HH. The interaction effect between gender and CI was not significant. The impact of learning style on CPS performance in HH was not significant. In contrast, in HCA, students with verbal, global, and reflective learning styles performed significantly better on CPS tasks than did students with visual, sequential, and active learning styles. Finally, we discussed the optimal ways to teach CPS and the practical effects of a CPS learning application.

Description: We focused on mobile engineers, a distinctive employee group that may have unique reactions to mergers and acquisitions (M&As). Mobile engineers, employees that move from one firm to another, were previously recognized as an undesirable loss by most knowledge-intensive organizations. However, in this study, we show that they may return to their former organizations as effective knowledge creators when their previous and new organizations unite through M&As. We specifically investigated how their mobility direction, relational assets, and intellectual assets affect the amount of knowledge that is jointly created through inter-personal collaborations following the M&A. Using the data of 410 mobile engineers in high-technology M&As during 2000–2004 in the United States, we found that the mobility direction from acquiring firms to targets prior to M&A has a positive impact on joint knowledge creation. We also found that such mobility direction positively moderates the relationship between human assets of mobile engineers and their joint knowledge creation.

Description: Prior literature from a cognitive perspective analyzing the effects of different content and structure of managerial cognition on sustainability are lacking. This study attempts to fill this gap by examining the relationship between technology orientation, sustainability orientation, and firm growth. Sustainability development has received unprecedented attention in the 12th five-year plan of China, who is the world’s largest energy consumer. This study tested the model of Chinese manufacturing in the year when the 12th five-year plan was published. Under the conditions of transforming economy, this study also considers how distinct institutional and industrial contexts could affect the relations between strategic orientations and firm growth, thereby clarifying the context-based adoption of different strategic orientations for realizing high levels of firm growth.

Description: Integrated coastal management (ICM) relies on the inclusion of economic issues within marine ecology. To assess the progress of this integration, we applied topic modelling and network analysis to explore the pertinent literature (583 Isi-WoS, and 5459 Scopus papers). We classified the topics of interest (i.e., concepts, approaches, and sectors) that combined ecological and economic issues within marine science, we aggregated these topics in fields pertinent to ICM, and tracked the knowledge-exchange between these fields by using an information-flow network. Main findings were: (i) the high trans-disciplinary fashion of studies about marine protection and of those about commercial fisheries, (ii) the weak interaction between studies focusing on potential biohazards and those about environmental management, (iii) the isolation, in the overall information-flow, of studies about ecotourism and aquaculture. We included in a roadmap all the integration routes we detected within ICM, based on the combination of ecological and economic issues. We conclude that, to improve integration, ICM should: (i) Exploit marine protection as a bridge between ecological and economic concepts and approaches, and between maritime economy sectors, (ii) employ systems ecology to pursue trans-disciplinary investigations, (iii) complement systems ecology with citizen science by means of inclusive economic initiatives, such as ecotourism.

Description: By analyzing measurements of the thermal environment of a qilou (arcade building) street, this study used the relative warmth index (RWI) to evaluate the thermal comfort in the colonnade space of a qilou. The analysis of the influence of the temperature, humidity, and wind speed on the thermal comfort in the colonnade space of a qilou street was conducted, and it was shown that the ambient wind speed had a strong influence on the RWI, indicating that a proper increase in the wind speed positively affected thermal comfort in this space. Then, this study also analyzed the effects of different forms of qilou streets on the wind environment by employing computational fluid dynamics (CFD) and summarized the architectural design measures that can improve the thermal comfort, including adopting back chamfer, street gaps, and the appropriate sizing of building components. It was concluded that the wind environment of a qilou could be optimized in terms of these measures, and the average RWI value decreased by 0.06, effectively enhancing the thermal comfort in the colonnade space. The research findings are applicable toward designing a thermally comfortable environment in the transitional space.

Description: Building Information Modeling (BIM) is increasingly important in the architecture and engineering fields, and especially in the field of sustainability through the study of energy. This study performs a bibliometric study analysis of BIM publications based on the Scopus database during the whole period from 2003 to 2018. The aim was to establish a comparison of bibliometric maps of the building information model and BIM in universities. The analyzed data included 4307 records produced by a total of 10,636 distinct authors from 314 institutions. Engineering and computer science were found to be the main scientific fields involved in BIM research. Architectural design are the central theme keywords, followed by information theory and construction industry. The final stage of the study focuses on the detection of clusters in which global research in this field is grouped. The main clusters found were those related to the BIM cycle, including construction management, documentation and analysis, architecture and design, construction/fabrication, and operation and maintenance (related to energy or sustainability). However, the clusters of the last phases such as demolition and renovation are not present, which indicates that this field suntil needs to be further developed and researched. With regard to the evolution of research, it has been observed how information technologies have been integrated over the entire spectrum of internet of things (IoT). A final key factor in the implementation of the BIM is its inclusion in the curriculum of technical careers related to areas of construction such as civil engineering or architecture.

Description: The city of Abu Dhabi is growing every year in population, urban extent and energy demand. This research focuses on the application of two simulation programs to estimate changes in urban climate associated with continued development in Abu Dhabi: The Urban Weather Generator (UWG) and ENVI-met. Simulation with these two software packages are validated with the site data measured in downtown Abu Dhabi. A comparison analysis (in the different seasons) between the rural data, the simulation output, and the site measurements shows the variations of the UHI in this Middle Eastern city and the potential of the validated tools. The main aims of this study are: (a) to make a seasonal validation of the UWG for the city of Abu Dhabi (referring to urban-rural available data). The tool was previously validated for a year (no seasonal division) for Abu Dhabi, Toulouse, Basel, Singapore, Rome and Barcelona. The simulations are based on the 2016 version of the Urban Weather Generator. The analysis is separated into three main seasons (instead of the full year): winter, spring, summer. (b) To make a seasonal validation and improve the second tool evaluated in this study, ENVI-met 4.0. The software can simulate urban temperature, humidity and wind speed. Guides are proposed for the enhancement of the accuracy of both estimation procedures. Referring to the results, UWG tends to overestimate the canyon temperature during the summer and has a more realistic estimation on the winter season. ENVI-met has better estimations of temperatures during the summer season compared to UWG. Finally, the UWG weather file contributes a more detailed energy model on a mesoscale model. It considers the seasonal effect and shows the impact of the climate on profiling the UHI phenomena. ENVI-met needs improvement in calculating the anthropogenic heat and in calculation of the mean radiant temperature.

Description: One of the major problems in socio-environmental systems is the growing depletion of non-renewable resources and environmental degradation, resulting from inadequate environmental management and planning. Deepening environmental problems have forced countries to create management instruments that will help repair damage and support environmental protection efforts. The aim of this research is to develop a customized decision support system for the management of renewable energy based on the existing Geographic Information Systems (GIS). The proposed tool enables assessing the potential of solar energy production at the local scale, analyzing each rooftop. Due to the scale of the analyzed area and the details of the assessment, the tool is customized to the needs of housing associations. The system combines an existing GIS tool for calculating the solar radiation potential of rooftops (SOLIS) together with Tableau software that was used to aggregate and analyze data. In order to present the applicability of the developed tool, visualizations were prepared based on housing buildings managed by the “Biskupin” Housing Association in Wrocław (Poland) which is responsible for the management of 3415 residential premises. The created system based on spatial and environmental data will help to decide how to manage the available resources and the environment at the local scale while reducing the pressure on the environment. The tool allows for the aggregation, filtering and presentation of spatial data for the entire area of a housing association, as well as for a single building.

Description: Book reading is an important factor contributing to children’s cognitive development and education for sustainable development. However, in a developing country like Vietnam, statistics have reported a low figure in book reading: only 1.2 books a year. This research study used a dataset of 1676 observations of junior high school students from Northern Vietnam to explore students’ reading behavior and its association with demographic factors, and the family’s reading culture. Data analysis suggests the older the student gets, the less inclined they are to read, and being female and having hobbies of low sensory stimulation are linked to higher preference for reading. Regarding scholarly culture at home, students who read more varied types of books and spend more time on books are correlated with higher reading interest. Reading habits are also positively reinforced by the capacity to access books and parental book reading.

Description: Despite increasing scepticism about the conventional growth model, the topic of destabilisation of socio-economic regimes has not yet captured scholarly interest. This paper addresses this gap and serves a twofold purpose. First, it develops an analytical framework for studying discursive regime destabilisation based on previous research by Turnheim and colleagues. The framework is novel as it allows for: (1) structured analysis of framing interactions between niche and regime actors; (2) visualised mapping of discursive actors; and (3) identification of phases of discursive destabilisation. Second, the paper contributes to the literature on an ongoing practice of socio-economic transformations by applying the framework to a case study of a social movement organisation, “Economy for the Common Good” (ECG), that seeks to advance socio-economic transition. The suggested framework was useful for analysing the ECG. First, it demonstrated that niche actors employed mostly motivational and prognostic frames supporting the alternative economic approach, while the regime diffused mostly diagnostic frames focusing on the perceived negative aspects of the niche. Second, by applying the framework, we identified three relevant destabilisation phases in this socio-economic transformation process: Blindness and Denial, Incremental Responses to Problems and Increasing Doubts and Diversification. We argue that the framing of the niche affects different actor groups differently: while representatives of high authorities remained in the first phase of destabilisation, regional authorities and private companies already appeared at the second and third phases.

Description: Increasingly, empirical evidence refutes many of the theoretical pillars of mainstream economics. These theories have persisted despite the fact that they support unsustainable and undesirable environmental, social, and economic outcomes. Continuing to embrace them puts at risk the possibility of achieving the Sustainable Development Goals and overcoming other global challenges. We discuss a selection of paradoxes and delusions surrounding mainstream economic theories related to: (1) efficiency and resource use, (2) wealth and wellbeing, (3) economic growth, and (4) the distribution of wealth within and between rich and poor nations. We describe a wellbeing economy as an alternative for guiding policy development. In 2018, a network of Wellbeing Economy Governments (WEGo), (supported by, but distinct from, the larger Wellbeing Economy Alliance—WEAll) promoting new forms of governance that diverge from the ones on which the G7 and G20 are based, has been launched and is now a living project. Members of WEGo aim at advancing the three key principles of a wellbeing economy: Live within planetary ecological boundaries, ensure equitable distribution of wealth and opportunity, and efficiently allocate resources (including environmental and social public goods), bringing wellbeing to the heart of policymaking, and in particular economic policymaking. This network has potential to fundamentally re-shape current global leadership still anchored to old economic paradigms that give primacy to economic growth over environmental and social wealth and wellbeing.

Description: Urban pollution has significantly contributed to the spread of diseases and global warming. The analysis of spatial distribution characteristics of atmospheric pollutants is crucial for making sustainable industrial policy, and environmentally friendly urban planning. In this paper, GeoDa software is used to analyze how sulfur dioxide (SO2), nitrogen oxides (NOx), and smoke dust (DUS) are spatially distributed in various provinces of China. Then, global spatial correlation test and cluster analysis are carried out to obtain the spatial evolution characteristics of three pollutants. Afterward, the spatial panel data model is applied to explore the factors that affect the spatial evolution of SO2, NOx and smoke dust (DUS) nationwide. MATLAB is used to estimate the Spatial Lag Model (SLM) and the Spatial Error Model (SEM) of the three pollutants, respectively. According to our analysis, SEM is more applicable for SO2 and NOx, whereas SLM is optimal for smoke dust (DUS). The results show that foreign direct investment (FDI), industrial structure, and urbanization aggravate environmental pollution, while per capita gross domestic products (per capita GDP) has a negative relationship with the cluster of pollutants. The study concludes by informing public policy makers on environment friendly policies for a more sustainable development.

Description: There is a growing body of evidence that demonstrates the health and well-being benefits of urban green spaces. There is less evidence on the effect of the management of such spaces on our health and well-being. This paper attempts to address this gap in knowledge by calling on empirical evidence collected in the United Kingdom (UK) city of Sheffield. Interviews conducted with professionals and community groups involved in the management of six district parks are analysed using the place-keeping analytical framework. The results highlight the overriding importance of local and national policy regarding how they inform the availability of funding, which is increasingly dependent on partnerships, and governance arrangements to contribute to a park’s maintenance, which is monitored through evaluation. The findings show how policies without funding can jeopardise the effective management of parks and how the concept of making park management a statutory service might have more traction if we consider its contribution to people’s health.

Description: Even though Knowledge Management (KM) is already widely used in business and public sector organisations, it also has potentially important implications when applied to the concept of sustainability. This research review aimed to examine the topography of research on KM and Sustainability. A total of 3025 articles from 1994 to 2018 were selected and analysed using bibliometric analysis to identify the growth trajectory of this literature, identify influential researchers and documents, explore the intellectual structure of the knowledge base and identify topical trends. The review found a knowledge of moderate but rapidly growing size. Key authors and documents were identified who can serve as guiding references for scholars entering this field of sustainability studies. Author co-citation analysis yielded a network map visualising the intellectual structure of this knowledge base which consisted of four Schools of Thought: Knowledge Management for Sustainability, Socio-Ecological System, Sustainability Science, KM for Sustainability Application. Keyword analysis highlighted climate change, learning, communities of practice and socio-economic management as topical trends emerging in the research front of this knowledge base. As the first bibliometric review of the KM and Sustainability literature, the findings from this paper establish a baseline for scholarship in this field which can be as a benchmark as the field continues to evolve in the future.

Description: : Landslides have multidimensional effects on the socioeconomic as well as environmental conditions of the impacted areas. The aim of this study is the spatial prediction of landslide using hybrid machine learning models including bagging (BA), random subspace (RS) and rotation forest (RF) with alternating decision tree (ADTree) as base classifier in the northern part of the Pithoragarh district, Uttarakhand, Himalaya, India. To construct the database, ten conditioning factors and a total of 103 landslide locations with a ratio of 70/30 were used. The significant factors were determined by chi-square attribute evaluation (CSEA) technique. The validity of the hybrid models was assessed by true positive rate (TP Rate), false positive rate (FP Rate), recall (sensitivity), precision, F-measure and area under the receiver operatic characteristic curve (AUC). Results concluded that land cover was the most important factor while curvature had no effect on landslide occurrence in the study area and it was removed from the modelling process. Additionally, results indicated that although all ensemble models enhanced the power prediction of the ADTree classifier (AUCtraining = 0.859; AUCvalidation = 0.813); however, the RS ensemble model (AUCtraining = 0.883; AUCvalidation = 0.842) outperformed and outclassed the RF (AUCtraining = 0.871; AUCvalidation = 0.840), and the BA (AUCtraining = 0.865; AUCvalidation = 0.836) ensemble model. The obtained results would be helpful for recognizing the landslide prone areas in future to better manage and decrease the damage and negative impacts on the environment.

Description: Under the background that environmental tax has increasingly become the main means of environmental governance in various countries, it is particularly important to study the effect of environmental tax on reducing pollutants and then put forward suggestions for building a scientific and rational environmental tax system. The novelty of this paper is the investigation of the pollutant emission reduction effects of environmental taxes in Organization for Economic Cooperation and Development (OECD) countries and Chinese provinces at the same time, and further comparison of the pollutant emission reduction effects of environmental taxes in OECD and China under different environmental tax collection scales, industrial added value levels, and economic development conditions based on Auto-Regressive Distributed Lag Modelling Approach (ARDL). The data are derived from environmental taxes and pollutants of OECD countries from 1994 to 2016 and Chinese provinces from 2004 to 2016. The results show that from the overall regression results, environmental taxes really help to reduce pollutant emissions, both in OECD countries and China. From the grouping regression results, the OECD countries and Chinese inland provinces with small-scale or medium-level of environmental tax revenue and higher level of economic growth all show better emission reduction effects, while OECD countries with low industrial added value and Chinese inland provinces with high industrial added value have more significant effects on pollutant emission reduction via environmental taxes.

Description: Staying at the top is getting tougher and more challenging due to the fast-growing and changing digital technologies and AI-based solutions. The world of technology, mass customization, and advanced manufacturing is experiencing a rapid transformation. Robots are becoming even more important as they can now be coupled with the human mind by means of brain–machine interface and advances in artificial intelligence. A strong necessity to increase productivity while not removing human workers from the manufacturing industry is imposing punishing challenges on the global economy. To counter these challenges, this article introduces the concept of Industry 5.0, where robots are intertwined with the human brain and work as collaborator instead of competitor. This article also outlines a number of key features and concerns that every manufacturer may have about Industry 5.0. In addition, it presents several developments achieved by researchers for use in Industry 5.0 applications and environments. Finally, the impact of Industry 5.0 on the manufacturing industry and overall economy is discussed from an economic and productivity point of view, where it is argued that Industry 5.0 will create more jobs than it will take away.

Description: This paper studies the dynamic relationship between consumption and investment in the United States between 1947 and 2018. Our findings support the postulates of Keynesian economics—while they are contrary to the theoretic background on which the numerous empirical studies on the saving-investment nexus are based. We find a long-run nexus between consumption and investment, and positive linear Granger-causality running unidirectionally from consumption to investment. Therefore, investment is sustained by consumption. Further, we find that the variables have nonlinear structures and, thus, we apply nonlinear causality tests. We provide evidence of nonlinear causality running unidirectionally from consumption to investment. Nevertheless, after controlling for Government Expenditure, this nonlinear causal relationship disappears, indicating that Government Expenditure drives the nonlinear causal relationship between private consumption and investment. We argue that this finding is consistent with the notion that investment decisions are guided by permanent aggregate demand, because public expenditure allows private consumption to have a sufficiently permanent trajectory to be considered as a guide for investment decisions. Our results do not support the austerity and deflation measures implemented in the last years (especially in the European Union). On the other hand, our findings call for the incentive of final public expenditure, since it favours the long-run link between the private decisions to consume and invest.

Description: Cryosphere services (CSs) refer to various benefits that humans directly or indirectly obtain from the cryosphere, which makes significant contributions to human well-being (HWB). To facilitate such research, we first present a classification system for conceptualizing, monitoring and assessing CSs based on the current process-based understanding of their nature and sustainability. Specifically, the CSs are grouped into five major categories (provisioning, regulating, cultural, bearing and supporting services) and 18 sub-categories. Then we provide a detailed overview on formation, current status and anticipated future changes of the identified types of the services, and their impact on HWB. Finally, the spatio-temporal scales, the links of the services with HWB and climate-dependence are further discussed. The research of CSs adopt interdisciplinary approach to address the formation mechanisms of CSs and their dynamic relationships with HWB, which is poised to provide a better understanding of the cryosphere’s role in human society and help enhance socio-ecological sustainability and HWB over cryosphere-affected areas. Notably, most CSs have been deteriorating under global warming and cryosphere shrinkage, further leading to negative impacts on associated HWB. Therefore, great attention should be paid to the changes in CSs and their cascading risks.

Description: Coal is an important resource that has supported China’s economic development. This situation is expected to continue in the immediate future. However, coal mining has also led to serious environmental disasters in some mining areas. Henan Province is one of the 14 large-scale coal bases that are planned by the Chinese state. It is located in the transitional zone between the second and third terrain ladders of China and spans two tectonic units. The geological features and ecological environmental characteristics display wide spatial variations throughout this district, which is an ecologically fragile region of stepped transition type. However, large-scale, extremely intense coal mining activities will inevitably lead to further deterioration of the already fragile ecological and geological (eco-geological) environment, which makes recovery increasingly difficult. Based on the condition of the eco-geological environment and the coal mining industry in the Henan mining area, the mechanisms by which mining-induced damage can occur were analyzed. The characteristics and status of the destruction of ground structures, land resources, water resources, the atmospheric environment, and natural ecology are discussed in this paper. Appropriate mitigation measures are proposed based on the findings. This mainly includes: management practices to prevent and mitigate damage throughout all stages of mining; adoption of mining techniques that will control damage at the source; and, the adoption of appropriate post-mining recovery technologies. The analysis of mining-induced eco-geological environmental damage and mitigation measures is of importance for the prevention of eco-geological disasters, and the promotion of efficient and environmentally sustainable exploitation of coal resources.

Description: This paper applies grounded theory to explore the formation of platform leadership and its reputation through a single case study analysis of a Chinese energy internet platform enterprise CZB (Che Zhu Bang). Initially, CZB was a follower in China’s internet energy market. After clarifying and acquiring the entrepreneurial resources and the complementary assets it needed, CZB quickly established an energy internet platform and its platform leadership in two years. The research shows the mechanism by which the entrepreneurial resources and complementary assets affect the evolution of the platform leadership, the interaction between platform leadership and its reputation, and in the end, how platform reputation influences platform sustainability.

Description: The objective of this study is to analyze the main factors influencing research on theconcept of ‘circular economy’ (CE) by focusing on authors, institutions, and countries andemphasizing the documents that deal both with CE and SMEs. The Web of Science (WoS) includes1711 documents related to CE, with the first publication dated 2006. The graphical analyses use theWoS Core Collection database and visualization of similarities (VOS) viewer software. We alsoemploy several bibliometric techniques including co‐citation and bibliographic coupling. Theresults of the analysis indicate that the field of CE research has broad readership and includesinternationally authored papers although China seems to be the leader in this research area.

Description: Urban trees provide various important ecological services, the quantification of which is vital to sustainable urban development and requires accurate estimation of tree biomass. A limited number of allometric biomass equations, however, have been developed for urban species due to the prohibitive cost. Remote sensing has provided cost-effective means for estimating urban forest biomass, although the propagation of error in the estimation process is not well understood. This study aimed to offer a baseline assessment of the feasibility of estimating urban tree biomass with remote sensing-based general equations applicable to broad taxonomic groups by conducting a large urban tree inventory on a university campus. The biomasses of 191 trees of seven species from the inventory, separated into two categories (i.e., evergreen and deciduous), were calculated exclusively with urban-based species-specific allometric equations. WorldView-2 satellite imagery data were acquired to retrieve normalized difference vegetation index (NDVI) values at the location, crown, and stand levels. The results indicated that biomass correlated with NDVI in varying forms and degrees. The general equations at the crown level yielded the most accurate biomass estimates, while the location-level estimates were the least accurate. Crown-level spectral responses provided adequate information for delivering spatially explicit biomass estimation.

Description: The unique set of physical and chemical properties of asbestos has led to its many industrial applications worldwide, of which roofing and facades constitute approximately 80% of currently used asbestos-containing products. Since asbestos-containing products are harmful to human health, their use and production have been banned in many countries. To date, no research has been undertaken to estimate the total amount of asbestos–cement products used at the country level in relation to regions or other administrative units. The objective of this paper is to present a possible new solution for developing the spatial distribution of asbestos–cement products used across the country by applying the supervised machine learning algorithm, i.e., Random Forest. Based on the results of a physical inventory taken on asbestos–cement products with the use of aerial imagery, and the application of selected features, considering the socio-economic situation of Poland, i.e., population, buildings, public finance, housing economy and municipal infrastructure, wages, salaries and social security benefits, agricultural census, entities of the national economy, labor market, environment protection, area of built-up surfaces, historical belonging to annexations, and data on asbestos manufacturing plants, best Random Forest models were computed. The selection of important variables was made in the R v.3.1.0 program and supported by the Boruta algorithm. The prediction of the amount of asbestos–cement products used in communes was executed in the randomForest package. An algorithm explaining 75.85% of the variance was subsequently used to prepare the prediction map of the spatial distribution of the amount of asbestos–cement products used in Poland. The total amount was estimated at 710,278,645 m2 (7.8 million tons). Since the best model used data on built-up surfaces which are available for the whole of Europe, it is worth considering the use of the developed method in other European countries, as well as to assess the environmental risk of asbestos exposure to humans.

Description: This study investigates the association between urban vitality and street centrality in Wuhan, China. Urban vitality was measured with social network review data. Street centrality was evaluated in terms of closeness, straightness, and betweenness in walking and driving mode. We constructed a square mesh to convert datasets of street centrality (segments) and urban vitality (points) into one unit for analysis. Geospatial visualization, a chi-square test, and correlation analysis were first employed to obtain an initial understanding of the spatial coupling relationship between urban vitality and street centrality. Then spatial regression models were applied to evaluate the significances and directions of the influences of street centrality on urban vitality. A geographical detector technique was utilized to further evaluate the magnitudes of these influences. The results suggest that street centrality plays an important role in shaping the spatial organization of urban vitality, and various street centralities presented marked differences in their association with urban vitality. More specifically, when considering street centrality in walking mode, betweenness affected urban vitality the most, followed by closeness and straightness. When considering street centrality in driving mode, straightness had the greatest influence on urban vitality, followed by closeness and betweenness.