Name: Li Xinwei

Email: lixinwei01@buaa.edu.cn

Title: Associate Professor

Personal homepage: https://shi.buaa.edu.cn/lixinwei1990/zh_CN/index.htm

[Personal Profile]

Li Xinwei is an Associate Professor at the School of Economics and Management, Beihang University. Her research covers a wide range of fundamental and emerging issues in transportation, including traffic behavior modeling and economic analysis, shared mobility and dynamic traffic systems. Her research has been published in world-leading journals, e.g., Transportation Research Part B\ C\ D\E. Her research has been supported by the National Natural Science Foundation of China (NSFC).

[Teaching Courses]

Industrial Economics

Production and Operations Management

Operations Research (2)

[Education Background]

09/2013 - 07/2018: Ph.D. in Civil and Environmental Engineering, the Hong Kong University of Science and Technology

09/2009 - 06/2013: B.S. in Applied Mathematics, University of Science and Technology of China,

[Work Experience]

08/2023 – Present: Associate Professor, School of Economics and Management, Beihang University

08/2019 - 08/2023: Lecturer, School of Economics and Management, Beihang University

09/2018 – 09/2019: Research Assistant, Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology

[Admissions Plan]

Accepting graduate students in fields such as Management Science and Engineering, Transportation Planning and Management, Industrial Engineering and Management. Welcoming students with a strong foundation in mathematics and programming (proficiency in at least one programming language), good written English skills, and an interest in transportation engineering.

[Research Grants]

“Modeling, analysis, and optimization of booking cum rationing scheme based on equity consideration”, January 2024 - December 2027, General Fund Project (Project No. 72371010), National Natural Science Foundation of China (NSFC), PI.

“Study on the optimization of operation management strategies for ride-sourcing platforms with travel mode choice”, January 2021 - December 2023, Science Fund for Young Scholars, National Natural Science Foundation of China (NSFC), PI.

[Publications]

(*: Dr Li is corresponding author)

[14] Li, X., Yang, H., Ke, J. (2023). Booking cum rationing strategy for equitable travel demand management in road networks. Transportation Research Part B: Methodological, 167, 261-274. (ABS 4, JCR Q1)

[13]王景鹏, 李欣蔚*, 黄海军, 王鹏飞. (2022). 多元化产品和服务的网约车平台运营机制研究. 系统工程理论与实践, 42(7), 1873-1883.

[12] Ding Y, Li X, Jian S. (2022). Modeling the impact of vehicle-to-grid discharge technology on transport and power systems. Transportation Research Part D: Transport and Environment, 105: 103220. (ABS 3, JCR Q1)

[11] Zhou, Y., Yang, H., Ke, J., Wang, H., Li, X. (2022). Competition and third-party platform-integration in ride-sourcing markets. Transportation Research Part B: Methodological, 159, 76-103. (ABS 4, JCR Q1)

[10] Ke, J., Li, X.^*, Yang, H., Yin, Y. (2021). Pareto-efficient solutions and regulations of congested ride-sourcing markets with heterogeneous demand and supply. Transportation Research Part E: Logistics and Transportation Review, 154, 102483. (ABS 3, JCR Q1)

[9] Ma, M., Liu, W., Li, X., Zhang, F., Jian, S., & Dixit, V. (2021). Quantifying service-reliability-based day-to-day evolution of travel choices in public transit systems with smart transit card data. Transportmetrica B: Transport Dynamics, 9(1), 519-551.

[8] Ke, J., Yang, H., Li, X., Wang, H., Ye, J. (2020). Pricing and equilibrium in on-demand ride-pooling markets. Transportation Research Part B: Methodological, 139, 411-431. (ABS 4, JCR Q1)

[7] Zhu, Z., Li, X.^*, Liu, W., Yang, H. (2019). Day-to-day evolution of departure time choice in stochastic capacity bottleneck models with bounded rationality and various information perceptions. Transportation Research Part E: Logistics and Transportation Review, 131, 168-192.(ABS 3, JCR Q1)

[6] Zhang, J., Yang, H., Lindsey, R., Li, X. (2019). Modeling and managing congested transit service with heterogeneous users under monopoly. Transportation Research Part B: Methodological. (ABS 4, JCR Q1)

[5] Guo, R. Y., Yang, H., Huang, H. J., Li, X. (2018). Day-to-day departure time choice under bounded rationality in the bottleneck model. Transportation Research Part B: Methodological, 117, 832-849. (ABS 4, JCR Q1)

[4]Li, X., Liu, W., Yang, H. (2018). Traffic dynamics in a bi-modal transportation network with information provision and adaptive transit services. Transportation Research Part C: Emerging Technologies, 91, 77-98. (JCR Q1)

[3] Liu W, Li X, Zhang F, Yang, H. (2017). Interactive travel choices and traffic forecast in a doubly dynamical system with user inertia and information provision. Transportation Research Part C: Emerging Technologies, 85: 711-731. (JCR Q1)

[2] Li, X, Yang, H. (2016). Dynamics of modal choice of heterogeneous travelers with responsive transit services. Transportation Research Part C: Emerging Technologies, 68, 333-349.(JCR Q1)

[1] Yang, H., Ye, H., Li, X., Zhao, B. (2015). Speed limits, speed selection and network equilibrium. Transportation research part C: Emerging technologies, 51, 260-273. (JCR Q1)