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教师简介
基本信息
办公电话

电子邮件

shangpan@bjtu.edu.cn

通讯地址

北京市海定区北京交通大学交通运输学院8501C

邮编

100044

教育背景

2009年9月至2013年7月          北京交通大学交通运输学院                                     交通运输      工学学士

2013年9月至2016年7月          清华大学土木工程系                                               交通工程      工学硕士

2016年9月至2019年7月          清华大学土木工程系                                               土木工程      工学博士

2018年1月至2019年1月          亚利桑那州立大学可持续工程与建筑环境学院          交通工程      访问学者

工作经历

2019年7月至2021年12月          北京交通大学交通运输学院         讲师

2022年1月至2025年12月          北京交通大学交通运输学院         副教授

2026年1月至今                         北京交通大学交通运输学院         教授

                                       

研究方向
  • 交通运输规划与管理
  • 运输组织理论与技术
  • 运输与物流理论与技术
  • 综合交通运输理论与技术
  • 交通运输(专业学位)
  • 物流工程与管理(专业学位)
招生专业
  • 交通运输规划与管理博士
  • 交通运输规划与管理硕士
  • 交通运输硕士
  • 物流工程与管理硕士
科研项目

主持纵向科研项目:
国家级项目:
国家自然科学基金面上项目:城市轨道交通客货共运服务网络设计及行车组织优化,2025-2028
国家自然科学基金青年项目:基于多源异构观测数据的网络客流时空演变动态估计及预测理论研究,2021-2023
国家重点研发计划子课题:面向泰国高速列车的列车运行图编制与调整教学实验系统构建技术研究,2019-2022
省部级项目:
北京市-丰台轨道联合基金前沿项目:城市轨道交通异常场景下运力资源调度与多模式交通协同组织,2024-2027
北京市-丰台轨道联合基金前沿项目:应对突发事件的客流时空分布推演及列车运行计划调整方法研究,2020-2023
中国博士后科学基金面上项目:城市轨道交通网络列车运行时刻表与动态客流分配一体化优化方法研究,2020-2021

主持横向科研项目:
北京市交通发展研究院:基于深度学习的交通分配模型优化及时刻表优化原型模型研究,2024-2025
成都智能网联汽车科技发展有限公司:与高校联合开展智能网联汽车领域合作项目,2024-2025
北京市交通发展研究院:预约出行通用算法与中观仿真研究,2022-2023
北京地铁运营技术咨询股份有限公司:城市轨道交通运营管理模式编制规范,2020-2021
中国城市轨道交通协会:城市轨道交通行业人力资源跟踪和需求研究,2020-2021
北京市交通发展研究院:多层次客流分配与公交服务网络优化设计方法研究,2019-2020

教学工作

本科生课程《铁路站场及枢纽》

研究生课程《交通时空建模方法及应用》

论文/期刊

顶级期刊(A+)学术论文(一作/通讯):

Li, S., Zhu, X., Shang, P.*, Van Woensel, T. and Yao, Y., 2026. Joint optimization of train services and freight delivery in a metro-based underground logistics system. Transportation Research Part B: Methodological

Li, S., Zhu, X., Shang, P.*, Wang, L. and Li, T., 2024. Scheduling shared passenger and freight transport for an underground logistics system. Transportation Research Part B: Methodological

Shang, P., Xiong, Y., Guo, J., Xian, K., Yu, Y. and Xu, H., 2024. A modeling framework to integrate frequency-and schedule-based passenger assignment approaches for coordinated path choice and space-time trajectory estimation based on multi-source observations. Transportation Research Part B: Methodological

Li, S., Zhu, X., Shang, P.*, Li, T. and Liu, W., 2023. Optimizing a shared freight and passenger high-speed railway system: A multi-commodity flow formulation with Benders decomposition solution approach. Transportation Research Part B: Methodological

Zhan, S., Wong, S.C., Shang, P.*, Peng, Q., Xie, J. and Lo, S.M., 2021. Integrated railway timetable rescheduling and dynamic passenger routing during a complete blockage. Transportation Research Part B: Methodological

Shang, P., Li, R., Guo, J., Xian, K. and Zhou, X., 2019. Integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network: A space-time-state hyper network-based assignment approach. Transportation Research Part B: Methodological

Shang, P.*, Yang, L., Yao, Y., Tong, L.C., Yang, S. and Mi, X., 2022. Integrated optimization model for hierarchical service network design and passenger assignment in an urban rail transit network: A Lagrangian duality reformulation and an iterative layered optimization framework based on forward-passing and backpropagation. Transportation Research Part C: Emerging Technologies

Yang, S., Ning, L., Tong, L.C. and Shang, P.*, 2022. Integrated electric logistics vehicle recharging station location–routing problem with mixed backhauls and recharging strategies. Transportation Research Part C: Emerging Technologies

Shang, P., Li, R., Liu, Z., Yang, L. and Wang, Y., 2018. Equity-oriented skip-stopping schedule optimization in an oversaturated urban rail transit network. Transportation Research Part C: Emerging Technologies

Liu, Y., Wang, Z., Cats, O., Pei, X. and Shang, P.*, 2026. Semi-flexible transit service optimization considering scenario-based demand fluctuations. Transportation Research Part E: Logistics and Transportation Review

Zhuo, S., Zhu, X., Shang, P.*, Liu, Z., Yao, Y. and Liao, F., 2024. Behavior-Adaptive Sync-Flow Framework: Integrating frequency setting and passenger routing in oversaturated urban rail transit networks. Transportation Research Part E: Logistics and Transportation Review

Yang, S., Ning, L., Shang, P.* and Tong, L.C., 2020. Augmented Lagrangian relaxation approach for logistics vehicle routing problem with mixed backhauls and time windows. Transportation Research Part E: Logistics and Transportation Review

Zhang, Q., Lusby, R.M., Shang, P.*, Liu, C. and Liu, W., 2025. Solving a multi-resolution model of the train platforming problem using Lagrangian Relaxation with dynamic multiplier aggregation. European Journal of Operational Research

 

权威期刊(A)学术论文(一作/通讯)

Wang, S., Zhu, X., Shang, P.*, Lin, X., Yang, L. and Tavasszy, L., 2024. Two-echelon multi-commodity multimodal vehicle routing problem considering user heterogeneity in city logistics. Expert Systems with Applications

Yang, S., Ning, L., Tong, L.C. and Shang, P.*, 2021. Optimizing electric vehicle routing problems with mixed backhauls and recharging strategies in multi-dimensional representation network. Expert Systems with Applications

Wang, S., Zhu, X., Zhuo, S. and Shang, P.*, 2024. Logistics vehicle routing optimisation with synchronised transfer. Transportmetrica A: Transport Science

Zhu, Q., Wang, Y., Shang, P.* and Zhu, X., 2025. Efficient asymmetric reposition strategy of rolling stock for urban rail transit systems. Transportmetrica A: Transport Science

Zhuo, S., Miao, J., Meng, L., Yang, L. and Shang, P.*, 2024. Demand-driven integrated train timetabling and rolling stock scheduling on urban rail transit line. Transportmetrica A: Transport Science

Yang, L., Shang, P.*, Yao, Y. and Zeng, Z., 2022. A dynamic scheduling process and methodology using route deviations and synchronized passenger transfers for flexible feeder transit services. Computers & Operations Research

Shang, P., Yang, L., Zeng, Z. and Tong, L.C., 2021. Solving school bus routing problem with mixed-load allowance for multiple schools. Computers & Industrial Engineering

Wang, S., Yang, L., Yao, Y., Zhang, Q. and Shang, P.*, 2022. Equity‐oriented vehicle routing optimization for catering distribution services with timeliness requirements. IET intelligent transport systems

Zhang, J., Yang, H., Wei, Y. and Shang, P.*, 2016. The empty wagons adjustment algorithm of Chinese heavy-haul railway. Chaos, Solitons & Fractals

 

鼓励期刊(B)学术论文(一作/通讯)

Zhu, Q., Yang, L., Zhou, Y., Shang, P.*, Zhu, X. and Li, Y., 2025. Integrated Metro Train Scheduling and Passenger Flow Control Under Oversaturated Conditions. Networks and Spatial Economics

Shang, P., Yao, Y., Yang, L., Meng, L. and Mo, P., 2021. Integrated model for timetabling and circulation planning on an urban rail transit line: a coupled network-based flow formulation. Networks and Spatial Economics

Wang, S., Zhu, X., Shang, P.*, Liu, W., Lin, X. and Tavasszy, L., 2024. Two‐Echelon Pickup and Delivery Problem Using Public Transport in City Logistics. Journal of Advanced Transportation

Zhu, Q., Zhu, X., Shang, P.* and Meng, L., 2023. Analytical Approximation‐Based Approach for Passenger Flow Control Strategy in Oversaturated Urban Rail Transit Systems. Journal of Advanced Transportation

Yang, Y., Liu, J., Shang, P.*, Xu, X. and Chen, X., 2020. Dynamic Origin‐Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques. Journal of Advanced Transportation

Yang, L., Hu, L., Shang, P.* and Ye, Y., 2021. Estimating the impacts of high-speed rail on service industry agglomeration in China: Advanced modelling with spatial difference-in-difference models and propensity score matching. Journal of Transport Economics and Policy

Zhuo, S., Zhu, X., Shang, P.* and Liu, Z., 2025. Passenger route and departure time guidance under disruptions in oversaturated urban rail transit networks. Transportation Research Record

Shang, P.*, Li, R., Liu, Z., Xian, K. and Guo, J., 2018. Timetable synchronization and optimization considering time-dependent passenger demand in an urban subway network. Transportation Research Record

Shang, P.*, Li, R. and Yang, L., 2020. Demand-driven timetable and stop pattern cooperative optimization on an urban rail transit line. Transportation Planning and Technology

 

专著/译著

参编行业教材《综合交通运输导论》

参编数字教材《集装箱运输与多式联运》

获奖与荣誉

科研获奖:
2022年,“川藏铁路运输组织关键技术研究”获评中国科学技术协会“青年人才托举工程”(1/1)
2023年,“高速铁路快捷货物网络化运输组织优化研究”获评中国物流与采购联合会“科技进步奖一等奖”(9/11)
2024年,“数据驱动与AI赋能的特大城市交通仿真技术与应用”获评中国智能交通协会“科技进步奖一等奖”(5/13)
2025年,“非常态下城市轨道交通管控关键技术及应用”获评中国交通运输协会“科技进步奖二等奖”(2/10)

教学获奖:
2022年,“以公平性为导向的物流配送服务的优化方法研究”获评北京交通大学优秀本科毕业设计(1/1)
2023年,“城市道路车辆出行规划算法和中观仿真研究”获评北京交通大学优秀本科毕业设计(1/1)
2023年,“城市道路车辆出行规划算法和中观仿真研究”获评北京市普通高等学校优秀本科毕业设计(1/1)
2024年,“铁路站场与枢纽”获评北京高校“优质本科课程”(9/11)
2025年,“铁路站场与枢纽”获评“国家一流本科生课程”(5/5)

社会兼职
《Urban Rail Transit》副主编