ALBERT

Description: We wish to make the following change to the published paper [1]. The name of the corresponding author should be “Hao Qian” instead of “Hao Qiao”. [...]

Description: IJGI, Vol. 6, Pages 373: Optimizing Cruising Routes for Taxi Drivers Using a Spatio-Temporal Trajectory Model ISPRS International Journal of Geo-Information doi: 10.3390/ijgi6110373 Authors: Liang Wu Sheng Hu Li Yin Yazhou Wang Zhanlong Chen Mingqiang Guo Hao Chen Zhong Xie Much of the taxi route-planning literature has focused on driver strategies for finding passengers and determining the hot spot pick-up locations using historical global positioning system (GPS) trajectories of taxis based on driver experience, distance from the passenger drop-off location to the next passenger pick-up location and the waiting times at recommended locations for the next passenger. The present work, however, considers the average taxi travel speed mined from historical taxi GPS trajectory data and the allocation of cruising routes to more than one taxi driver in a small-scale region to neighboring pick-up locations. A spatio-temporal trajectory model with load balancing allocations is presented to not only explore pick-up/drop-off information but also provide taxi drivers with cruising routes to the recommended pick-up locations. In simulation experiments, our study shows that taxi drivers using cruising routes recommended by our spatio-temporal trajectory model can significantly reduce the average waiting time and travel less distance to quickly find their next passengers, and the load balancing strategy significantly alleviates road loads. These objective measures can help us better understand spatio-temporal traffic patterns and guide taxi navigation.

Description: Sustainability, Vol. 10, Pages 2111: Urban Land Revenue and Sustainable Urbanization in China: Issues and Challenges Sustainability doi: 10.3390/su10072111 Authors: Junhua Chen Fei Guo Hao Wang Zhifeng Wang Ying Wu Since urban land development launched in 1987, urban land transactions and local land leasing revenue have exploded sharply in China. Classical research on urban land use and urbanization often focuses on making decisions and enacting policies of zoning and land use regulations. Scholars from different disciplines have long been aware of this issue and have attempted to account for it with different theories of urbanization. This paper considers urbanization and the associated spatial interaction effect as an alternative factor in China’s urban land revenue. After reviewing the existing literature on China’s land reform, a dynamic panel data model with GMM estimator is established to explore the reasons for the emerging land revenue. The empirical results show that the spatial weight matrix is significant to the land leasing revenue, and the provincial level of fiscal decentralization has negative effect on the volume of urban land leasing revenue. These empirical results demonstrate that local governments have the intrinsic motivation to maximize the land leasing revenue, which is significant to expand local optional revenues. The province having higher urbanization level usually experiences the larger scale of urban land revenue. The spatial interaction effect among adjacent provinces has a significant effect on urban land revenue which is closely associated with local economic growth. However, it is essential to know that the large scale of rural land conversion and disordered urbanization force negative payoffs, such as environmental degradation, the damage of farmland, and the problem of food safety.

Description: This paper presents a rigorous design and optimization of an axial flux microelectromechanical systems (MEMS) brushless dc (BLDC) micromotor with dual rotor improving both efficiency and power density with an external diameter of only around 10 mm. The stator is made of two layers of windings by MEMS technology. The rotor is developed by film permanent magnets assembled over the rotor yoke. The characteristics of the MEMS micromotor are analyzed and modeled through a 3-D magnetic equivalent circuit (MEC) taking the leakage flux and fringing effect into account. Such a model yields a relatively accurate prediction of the flux in the air gap, back electromotive force (EMF) and electromagnetic torque, whilst being computationally efficient. Based on 3-D MEC model the multi-objective firefly algorithm (MOFA) is developed for the optimal design of this special machine. Both 3-D finite element (FE) simulation and experiments are employed to validate the MEC model and MOFA optimization design.

Description: This study presents an approach for obtaining limited sets of realizations of hydraulic conductivity (K) of multiple aquifers using simulated annealing (SA) simulation and spatial correlations among aquifers to simulate realizations of hydraulic heads and quantify their uncertainty in the Pingtung Plain, Taiwan. The proposed approach used the SA algorithm to generate large sets of natural logarithm hydraulic conductivity (ln(K)) realizations in each aquifer based on spatial correlations among aquifers. Moreover, small sets of ln(K) realizations were obtained from large sets of realizations by ranking the differences among cross-variograms derived from the measured ln(K) and the simulated ln(K) realizations between the aquifer pair Aquifer 1 and Aquifer 2 (hereafter referred to as Aquifers 1–2) and the aquifer pair Aquifer 2 and Aquifer 3 (hereafter referred to as Aquifers 2–3), respectively. Additionally, the small sets of realizations of the hydraulic conductivities honored the horizontal spatial variability and distributions of the hydraulic conductivities among aquifers to model groundwater precisely. The uncertainty analysis of the 100 combinations of simulated realizations of hydraulic conductivity was successfully conducted with generalized likelihood uncertainty estimation (GLUE). The GLUE results indicated that the proposed approach could minimize simulation iterations and uncertainty, successfully achieve behavioral simulations when reduced between calibration and evaluation runs, and could be effectively applied to evaluate uncertainty in hydrogeological properties and groundwater modeling, particularly in those cases which lack three-dimensional data sets yet have high heterogeneity in vertical hydraulic conductivities.