ALBERT

Description: Research was conducted to identify a series of neuropsychological tests to assess the ability to drive. Driving performance of young and old UK drivers was modeled through multiple linear regression and univariate logistic regression tools. The UFOV3 test (i.e. the third subtest of the UFOV test) had comparatively high discriminating ability in separating poor-drivers from not-poor-drivers, with 92.86% of the drivers correctly classified; the UFOV3 test resulted in a Sensitivity of 62.5%. Age and a composite cognitive measure were also found to be sound discriminators of poor-drivers and not-poor-drivers with 91.07% and 89.28% of the drivers correctly classified respectively; both age and the composite cognitive measure resulted in a Sensitivity of 50%. It was found that the commonly recommended Clock Drawing Test and the Trail Making-B test were insignificant predictors of driving ability. Results suggest that for a score greater than 220 on the UFOV3 test, the driver may be further evaluated by a driving specialist to ascertain questionable driving behavior. Also, drivers above the age of 77 were more susceptible to exhibiting unusual driving behavior; if such drivers have UFOV3 scores greater than 220 it would be more appropriate to evaluate driving behavior through a driving specialist.

Description: Purpose This study analyzes the relationship that land use has with weekend travel in comparison to weekday travel. Unlike previous studies, it uses the same sample for two models that are specified to test the relationship separately for weekday and weekend travel. Methods Structural equation modeling is employed to test the land use–travel relationship. A comparison is made using two mode-specific travel measures: trip frequency and travel time. Results On weekday travel, land use in Seoul tends to reduce automobile trips and to add transit and nonmotorized trips. This does not lead to a reduction in the total frequency of weekday trips. Instead, an overall reduction occurs in the frequency of weekend trips because the addition of transit and nonmotorized trips is less than the reduction of automobile trips. Conclusions The application of structural equation modeling to a Seoul household travel survey confirms the opposing role of land use in travel mode choices on weekdays versus weekends.

Description: Introduction This paper presents an analytical model to contrast the carbon emissions from a number of goods delivery methods. This includes individuals travelling to the store by car, and delivery trucks delivering to homes. While the impact of growing home delivery services has been studied with combinatorial approaches, those approaches do not allow for systematic conclusions regarding when the service provides net benefit. The use of the analytical approach presented here, allows for more systematic relationships to be established between problem parameters, and therefore broader conclusions regarding when delivery services may provide a CO 2 benefit over personal travel. Methods Analytical mathematical models are developed to approximate total vehicle miles traveled (VMT) and carbon emissions for a personal vehicle travel scenario, a local depot vehicle travel scenario, and a regional warehouse travel scenario. A graphical heuristic is developed to compare the carbon emissions of a personal vehicle travel scenario and local depot delivery scenario. Results The analytical approach developed and presented in the paper demonstrates that two key variables drive whether a delivery service or personal travel will provide a lower CO 2 solution. These are the emissions ratio, and customer density. The emissions ratio represents the relative emissions impact of the delivery vehicle when compared to the personal vehicle. The results show that with a small number of customers, and low emissions ratio, personal travel is preferred. In contrast, with a high number of customers and low emissions ratio, delivery service is preferred. Conclusions While other research into the impact of delivery services on CO 2 emissions has generally used a combinatorial approach, this paper considers the problem using an analytical model. A detailed simulation can provide locational specificity, but provides less insight into the fundamental drivers of system behavior. The analytical approach exposes the problem’s basic relationships that are independent of local geography and infrastructure. The result is a simple method for identifying context when personal travel, or delivery service, is more CO2 efficient.

Description: Purpose The current study examined the relations between objective and subjective measures of driving patterns, focusing on traffic violations. In addition, the study explored the potential use of rewards in order to modify driving behaviors and examined the relationship between attitudinal and demographic variables and the frequency of speeding. Method We acquired subjective and objective data on driving behaviors in a sample of 114 young student drivers in Israel’s Southern region. We used a survey to acquire data on the participants’ history of violations, self-reported driving behavior, and subjective attitudes towards risks and fines. We then examined the participants’ objective driving behaviors using Get Location, a specifically designed smartphone application. Results We found a substantive gap between subjective and objective data regarding traffic violations, but they were also significantly correlated. The demographic variables, including gender, failed to distinguish between frequent and non-frequent speeders, while attitudinal variables succeeded. Frequent speeders required a significantly higher potential reward, as well as a higher fine to motivate behavioral changes. Conclusion Self-reported data can serve as a reasonable proxy for measuring the tendency to adopt particular driving patterns, including the tendency to engage in violations. In addition, the use of rewards can complement or possibly replace the reliance on negative sanctions in order to modify behavior.

Description: Introduction Electric bikes (e-bikes) may help in transport decarbonisation in European cities. To fully assess the market potential of e-bikes, further research is needed to understand users' preferences and the range of factors that can contribute to people to shift from car use to low carbon vehicles such as e-bikes. This paper is built on the Be4Schools R&D project implemented in the smart city of Águeda in Portugal. It comprised the former study in the country that examined the willingness of students (aged 15-21 years) to use e-bikes for daily trips to school and that gathered their preferences towards specific ICT related attributes. Methods The methodology comprised a mobility survey and a stated-choice experiment (SC). The SC experiment gathered 2232 observations for modelling which were able to provide the relevant attribute informa'on trade-off between car travel, route and e-bike features (with or without specific ICT equipment). An extensive econometric analysis using was performed to assess the nature and extent of students' heterogeneity of preferences which also considered gender issues. The study aimed to contribute to the regional economic cluster on powered two-wheels' industry & innovation. Results The absence of cycling infrastructures (segregated from main road) and the absence of cycle lanes in the road infrastructure were ranked as the first, second and third most important barriers, by 25.4% and 24.8% of the students, respectively. The importance of a dedicated cycling route to school (segregated from main traffic) revealed to be critical as the odds of choosing an e-bike was found to be 6.5 times higher in comparison with the “no cycling infrastructure” option, ceteris paribus. This finding is aligned with the fact that cyclists would need to be exposed to high levels of motorized traffic in main roads and to increased perceived risks. The market potential of e-bikes is likely to be higher if ICT features can be added to e-bikes as the odds of choosing an e-bike when it comes with the preferred ICT devices is 1.7 times higher than the opposed situation (e-bike without additional ICT devices). Conclusions Research results are interesting for mobility policies and industry as the possible integration of ICT equipment in e-bikes may speed up the market uptake of this technology in smart cities. On the other hand, cycling infrastructures seem to be critical elements for increasing the demand for both conventional and e-bikes in the smart city of Águeda.

Description: Purpose The main purpose was to integrate two strategies for road safety analyses (qualitative: audits, inspections; and quantitative: accident predictions) and develop a possible protocol for the safety interventions on existing two-lane rural road segments. Those road sections do not typically belong to the TEN-network, to which the 2008/96/EC Directive is mainly oriented. Hence, they could lack of methods for designing safety-based interventions. The main research questions were: Which possible problems can arise from the application of this protocol to real cases? Which data are practically needed? Which possible solutions can be provided for the highlighted problems? Methods The integrated protocol, including: 1) the HSM predictive method, 2) the EU Regulations, 3) the local road design standards, 4) some research developments; is applied to real two-lane rural road segments requiring safety-based interventions. Its application is divided in the typical road safety analysis stages. Results A wide list of possible problems was highlighted and addressed: 1) lack of data, 2) difficult comparison with current road standards in order to identify safety problems, 3) lack of methods for evaluating the skidding risk along the layout, 4) setting speed limits, 5) need for optimizing the selection of countermeasures based on their aims and their timely application, in different recurrent situations, 6) availability and comparison of predictive methods. Conclusions Based on the problems and solutions discussed, main advantages (1) the systematic approach, 2) the quantitative assessment of benefits, 3) the possible transferability) and disadvantages (difficulties in overcoming the lack of data and calibrated accident prediction models) of the method were remarked.

Description: Introduction This research was focused on the ‘receiver’ end of the supply chain that has, in recent years, emerged as a novel area of investigation by European urban freight researchers. The paper explores the importance of procurement policy and mechanisms in a higher education establishment in order to drive a sustainable approach to inbound logistics. There is little known of the purchasing behaviour at individual level within such organisations. A localised city logistics Delivery Service Plan, within a ‘coherent campus strategy’ for an academic campus was established at Newcastle University, located at the centre of a medium size British city. Method Purchasing data and interviews with the purchasing manager demonstrated the current state of purchasing practice at the University, relative to the benchmarks established in the literature. In order to better understand the relationships between delivery services, the urban environment, and staff attitudes, a questionnaire was conducted with Newcastle University staff, addressing the purchasing of all goods to be delivered to the workplace. Result Multivariate analysis of cross-sectional data, as well as qualitative analysis, shows that variable frequency in demand can be explained by: job type; the different ways to raise a purchase order (PO); type of goods purchased; expected delivery times; and from where the PO originates. The findings suggest that training within specific staff roles would benefit the University’s urban freight coordination and management. We can also see that a very small core of people raise most of the orders and that, through them, it should be possible to influence the majority of orders. Lastly, demonstrating to the University’s Executive that employee views on private purchasing directly influence the practice, has convinced the board that changing purchasing behaviour towards freight efficiency is a feasible option for a sustainable institutional organisation. Conclusion The key contribution of this paper is demonstration of the important role of logistics receiver can make in delivering sustainable city logistics. This is especially true for large organisation with multi-sited and multi-level management (central vs local) that require multi-type of logistics in a city-centred bound historic built environment University. This paper shed light on identifying the key determinants of freight demand at University that can be managed and act as catalyst for accommodating urban freight in city planning.

Description: Purpose The trajectory of a vehicle is comprehensively affected by the interactions between the vehicle, the driving behavior, and the road environment. High-risk driving behaviors and accident-prone road sections can be identified based on the relationship between the trajectory and road geometry. Previous related studies mostly focused on the trajectory deviation at a few points on the road, which cannot capture the continuous variation of the trajectory in an entire curve, and seldom considered the trajectory characteristics along curves with large deflection angles. The aim of this study is to investigate the trajectories passenger cars take on two-lane mountain roads and thus to determine the track patterns and its relevant risks. Methods Field driving experiments were performed on four two-lane mountain highways, and vehicle trajectories under natural driving conditions were acquired. The continuous change in the lateral deviation rate of the trajectory was also determined by putting the measured trajectories into the coordinate frame together with the edge line of roadway. Further, the morphological features of the vehicle trajectory and how it is affected by the highway geometry were analyzed. Results and conclusions The following were observed: i) Typical track patterns were determined according to features of LDRT profiles, four patterns for left-hand bends and five patterns for right-hand bends, which can be used to identify crash prone position and reveal the mechanism of crash. ii) Inertia may cause the vehicle to move too close to the outer side of the curve after a cut, for which reason the driver has to correct the trajectory, although overcorrection may move the vehicle into the oncoming lane. iii) A higher speed at curve entry adopt by the driver could result in a larger encroachment into opposite lane or shoulder. iv) The smaller the radius of the horizontal curve, the more frequently the trajectory entered the oncoming lane. These findings could provide a better understanding of the track behavior of passenger cars, judge the safety implications of driver behavior, and thus identify crash prone positioning and the potential mechanisms of head-on crashes, run-off-road and guardrail collisions.