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香港理工大学工业及系统工程学系老师教师导师介绍简介-Dr Min Xu 许敏

本站小编 Free考研考试/2022-02-03

Dr Min Xu 許敏 Assistant Professor

Location EF620
Phone +852 2766 6593
mail min.m.xu@polyu.edu.hk

Open Platform for University Scholars
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Brief sketchDr. Xu Min is currently an Assistant Professor in the Department of Industrial and Systems Engineering at The Hong Kong Polytechnic University. She received bachelor degrees in Hydraulic Engineering and Economics (double degree) from Tsinghua University and Ph.D. degree in Transportation Engineering from National University of Singapore, Singapore. Dr. Xu’s research interests include green transport and logistics, shared mobility, transportation network modeling, and urban mobility modeling and optimization. Her work has been published in the major journals in the field such as Transportation Research Part B: Methodological and Transportation Research Part C: Emerging Technologies. She has worked on the research projects funded by Hong Kong Research Grants Council and National Natural Science Foundation of China.
Research Interests Green Transport and Shared Mobility
Transportation Network Modeling
Travel Behavior Modeling
Urban Mobility Modeling and Optimization
Journal Publications Xu, M., Yang, H., 2021. Fleet sizing for shared-and-autonomous-mobility services considering ride-pooling and customer satisfaction. Under review at Transportation Research Part B: Methodological. [link]
Xu, M., Wu, T., Tan, Z.J., 2021. Electric vehicle fleet size for carsharing services considering on-demand charging strategy and battery degradation. Transportation Research Part C: Emerging Technologies, 127, 103146. https://doi.org/10.1016/j.trc.2021.103146
Ouyang, X., Xu, M., Zhou, B., 2021. A multi-type charging station location model for electric vehicle users considering partial charging behavior and nonlinear elastic demand. Accepted at Networks and Spatial Economics.
Wang, Y., Peng, S.G., Xu, M., 2021. Emergency logistics network design based on space-time resource configuration. Knowledge-Based Systems, 223, 107041. https://doi.org/10.1016/j.knosys.2021.107041
Xu,M., Meng, Q., 2020. Optimal deployment of charging stations considering path deviation andnonlinearelasticdemand.Transportation Research Part B: Methodological,135, 120-142.https://doi.org/10.1016/j.trb.2020.03.001
Ma, J.,Xu, M., Meng, Q., Cheng, L., 2020. Ridesharing user equilibrium problem under OD-based surge pricing strategy.Transportation Research Part B: Methodological,134, 1-24.https://doi.org/10.1016/j.trb.2020.02.001
Tan, Z.,Xu, M., Meng, Q., Li, Z., 2020. Evacuating the metro passengers with urban bus system under uncertain disruption recovery time and heterogeneous risk-taking behavior.Transportation Research Part C: Emerging Technologies, 119, 102761.https://doi.org/10.1016/j.trc.2020.102761
Xu, M., Yang, H., Wang, S.A., 2020. Mitigate the range anxiety: Siting battery charging stations for electric vehicle drivers.Transportation Research Part C: Emerging Technologies,114, 164-188.https://doi.org/10.1016/j.trc.2020.02.001
Zhou, B.,Xu, M., Meng, Q., 2020. A discrete day-to-day link flow dynamic model considering travelers’ heterogeneous inertia patterns.Transportmetrica A: Transport Science,16(3), 1400-1428.https://doi.org/10.1080/23249935.2020.1749961
Xu, M., Meng, Q., 2019. Fleet sizing for one-way electric carsharing services considering dynamic vehicle relocation and nonlinear charging profile.Transportation Research Part B: Methodological,128, 23-49.https://doi.org/10.1016/j.trb.2019.07.016
Xu, M., Zhou, B., He, J., 2019. Improving truncated newton method for the logit-based stochastic user equilibrium problem.Mathematical Problems in Engineering,2019.https://doi.org/10.1155/2019/7313808
Zhou, B.,Xu, M., Zhang, Y., 2019. A trial-and-error congestion pricing method for day-to-day dynamic network flows considering travelers’ heterogeneous inertia patterns.Mathematical Problems in Engineering,2019.https://doi.org/10.1155/2019/8514765
Xu, M., Meng Q., Liu, Z., 2018. Electric vehicle fleet size and trip pricing for one-way carsharing services considering vehicle relocation and personnel assignment.Transportation Research Part B: Methodological,111, 60-82.https://doi.org/10.1016/j.trb.2018.03.001
Xu, M., Meng, Q., Liu, K., Yamamoto, T., 2017. Joint charging mode and location choice model for battery electric vehicle users.Transportation Research Part B: Methodological,103, 68-86.https://doi.org/10.1016/j.trb.2017.03.004
Xu, M., Meng, Q., Liu, K., 2017. Network user equilibrium problems for the mixed battery electric vehicles and gasoline vehicles subject to battery swapping stations and road grade constraints.Transportation Research Part B: Methodological,99, 138-166.https://doi.org/10.1016/j.trb.2017.01.009
Xu, M., Meng, Q., Liu, Y., 2017. Public’s Perception of Adopting Electric Vehicles: A Case Study of Singapore.Journal of the Eastern Asia Society for Transportation Studies,12, 285-298.https://doi.org/10.11175/easts.12.285
Zhou, B.,Xu, M., Meng, Q., Huang, Z., 2017. A day-to-day route flow evolution process towards the mixed equilibria.Transportation Research Part C: Emerging Technologies,82, 210-228.https://doi.org/10.1016/j.trc.2017.06.018
Meng, Q., Zhang, Y.,Xu, M., 2017. Viability of transarctic shipping routes: a literature review from the navigational and commercial perspectives.Maritime Policy & Management,44(1), 16-41.https://doi.org/10.1080/03088839.2016.1231428
Xu, M., Meng, Q., Huang, Z., 2016. Global convergence of the trial-and-error method for the traffic-restraint congestion-pricing scheme with day-to-day flow dynamics.Transportation Research Part C: Emerging Technologies,Vol. 69, pp. 276-290.https://doi.org/10.1016/j.trc.2016.06.009
Conference Proceedings and Presentations Ouyang, X.,Xu, M., Wu, T., 2021. Vehicle Routing for Shared Autonomous Electric Vehicles Considering Passengers’ Uncertain Waiting Time Tolerance and Acceptable Stopover.Proceedings of the 100th Annual Meeting of Transportation Research Board. Jan 2021.
Man, J.,Xu, M., Ahmend, S., 2021. Drivers and Effects of Merger and Acquisitions in the Airline Industry: A Case Study of Hong Kong.Proceedings of the 100th Annual Meeting of Transportation Research Board. Jan 2021.
Wu, T., Xu, M., Ouyang, X., Yuen Y.P., 2021. Empirical Evidence from China: What Contributes to Airline Customers’ Positive Behavioral Intentions? The 2nd International Conference on Robotics Systems and Vehicle Technology, New York, U.S. Dec 2020.
Xu, M., 2019. Optimal Location of Battery Charging Stations Considering Drivers’ Range Anxiety and Path Deviation.The 3rd International Symposium on Multimodal Transportation, Singapore. Dec 2019.
Kang L.,Xu, M., Meng Q., 2019. Impact Analysis of Excess Waiting Time on Performance Payments of Bus Services.Proceedings of the 98th Annual Meeting of Transportation Research Board,Washington, U.S. Jan 2019.
Xu, M., Meng Q., Kang L., 2018. Bus Operating Time Estimation at Bus Bays.Proceedings of the 97th Annual Meeting of Transportation Research Board,Washington, U.S. Jan 2018.
Xu, M., Meng, Q., Liu, Y., 2017. Public’s Perception of Adopting Electric Vehicles: A Case Study of Singapore.12th EASTS International Conference of Eastern Asia Society for Transportation Studies,Ho Chi Minh City, Vietnam. Sept 2017.
Xu, M., Meng, Q., 2017. Modelling and optimization for one-way carsharing service.Commonwealth Science Conference 2017,Singapore. June 2017.
Chen, S.,Xu, M., Meng, Q., 2017.A Public Transit Driver Scheduling Problem with Practical Meal Time Windows(No. 17-02244).Proceedings of the 96th Annual Meeting of Transportation Research Board,Washington, U.S. Jan 2017.
Zhou, B.,Xu, M., Meng, Q., Huang, Z., 2017.A Discrete Day-to-Day Route Flow Dynamic Model for the Mixed Equilibrium Behavior(No. 17-02258).Proceedings of the 96th Annual Meeting of Transportation Research Board, Washington,U.S. Jan 2017.





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