杨凯
博士 、副教授 、博士生导师
基本信息
| 办公电话：010-51687347 | 电子邮件： kaiyang@bjtu.edu.cn |
| 通讯地址：北京市海淀区上园村3号院 | 邮编：100044 |
教育背景
2012年9月-2015年6月，天津大学，管理与经济学部管理科学与工程专业，管理学博士工作经历
2023年6月-至今，北京交通大学，系统科学学院，副教授、博士生导师
2015年7月-2023年5月，北京交通大学，交通运输学院，讲师、硕士生导师、副教授、博士生导师
2018年4月-2019年4月，Monash University，国家公派访问学者
研究方向
- 系统科学
- 综合交通系统分析与集成
招生专业
- 系统科学硕士
- 系统科学博士
科研项目
[1] 中央高校基本科研业务费项目：不确定信息下城市道路交通系统韧性优化及提升策略，2025.04-2027.03，主持[2] 红果园(横)：设施韧性评估软件系统开发，2024.06-2025.04，主持
[3] 中央高校基本科研业务费项目：基于情景推演的应急资源多阶段分配与动态调度方法研究，2023.04-2025.03，主持
[4] 国家重点实验室开放课题：数据驱动的城市轨道交通客流控制与列车时刻表分布鲁棒协同优化，2022.01-2023.12，主持
[5] 中央高校基本科研业务费项目：基于多层级多模式的综合货运枢纽网络设计与分布式鲁棒优化，2021.04-2023.03，主持
[6] 国家自然科学基金“专项基金项目”：川藏铁路工程建设安全风险预控与韧性管理, 2020.01-2023.12，主持
[7] 国家重点实验室开放课题：基于数据驱动型分布鲁棒优化的城市轨道交通网络末班车衔接方案研究，2019.01-2020.12，主持
[8] 中央高校基本科研业务费项目：集装箱多式联运轴-辐式网络优化与收益管理方法研究，2018.04-2020.03，主持
[9] 国家自然科学基金青年项目：基于轴辐运输模式的多式联运系统优化与协调策略研究，2018.01-2020.12，主持
[10] 横向项目：我国铁路集装化器具的使用管理模式研究，2017.05-2017.12，主持
[11] 人才基金：铁路快捷货运轴辐式服务网络优化模型及算法研究，2015.09-2017.08，主持
[12] 自然科学横向项目：平陆运河巨量土石方大面积优化调配研究，2024.06-2025.06，参加
[13] 国家自然科学基金“基础科学中心”：未来城市交通系统资源配置与运行优化，2023.01-2027.12，参加
[14] 国家自然科学基金“基础科学中心”：新业态背景下城市交通智慧出行管理，2023.01-2027.12，参加
[15] 国家自然科学基金重大项目课题：城市群综合交通系统设计与运营优化研究，2019.01-2023.12，参加
[16] 铁路总公司（原铁道部）：中欧班列信息平台关键技术研究，2018.10-2019.12，参加
[17] 国家自然科学基金青年项目：交通系统中弹性出行管控措施的实验研究和理论建模，2019.01-2021.12，参加
[18] 国家重点研发计划：高速铁路成网条件下运输需求预测应用技术研究，2018.05-2021.01，参加
[19] 国家自然科学基金面上项目：城市轨道交通网络列车实时调整与客流控制协调优化模型及算法，2018.01-2021.12，参加
[20] 国家自然科学基金面上项目：高速铁路动车组运用和检修综合优化的相关问题研究，2018.01-2021.12，参加
[21] 北京市自然基金“轨道交通联合”项目：面向客流需求的城市轨道交通列车节能优化模型和算法，2018.01-2020.12，参加
[22] 国家重点实验室：城市轨道交通系统客流控制与运营组织协同优化模型和算法，2018.01-2019.12，参加
[23] 国家自然科学基金重点项目：新型城镇化导向下的城市地下物流系统集成与管理研究，2017.01-2021.12，参加
[24] 国家自然科学基金重大研究计划培育项目：基于多源大数据的城市交通微观-宏观行为规律研究，2017.01-2019.12，参加
[25] 国家自然科学基金创新研究群体项目-课题一：城市群交通出行需求分析与动态管理，2017.01-2022.12，参加
[26] 国家自然科学基金创新研究群体项目-课题二：城市群综合交通协同组织与资源配置，2017.01-2022.12，参加
教学工作
本科生课程：《现代物流技术与管理（B）》、 《仓储与配送组织与技术》、《物流技术与管理》、《营销管理》研究生课程：《物流系统设计与优化》、 《学术写作能力》
论文/期刊
发表的英文期刊论文：[68] Kai Yang, D. Gao, Z. Wu*, Y. Chen*, M. Shen*, L. Yang, Data-driven Wasserstein distributionally robust train formation and passenger flow control on an overcrowded metro line, Applied Mathematical Modelling, 2026, 150:116330. (SCI)
[67] Q. Liu, W. Hu*, Kai Yang, J. Yang, Risk assessment of urban underground logistics system operations in built-up areas: A hybrid fuzzy Bayesian network and machine learning approach, Computers & Industrial Engineering, 2025,207:111295 . (SCI)
[66] C. Zhang, J. Qi*, Kai Yang, L. Yang, Z. Gao, Y. Gao, Integrated Optimization of Train Stop Planning and Timetabling in a Railway Network: A Stochastic Optimization Approach, Transportmetrica A: Transport Science, 2025, DOI:10.1080/23249935.2025.2530099 . (SCI)
[65] Y. Gao, X. Wang, Kai Yang*, J. Ma, L. Jiang, Q. Luo*, A bi-level programming model for optimizing location, capacity, and pricing decisions of origin warehouses in an agricultural supply chain, Applied Mathematical Modelling, 2025,145:116145 . (SCI)
[64] X. Shang, Kai Yang*, Q. Luo*, B. Miao, Robust optimization models for the hierarchical cost-minimizing hub covering problem in the urban agglomeration comprehensive transport system, International Journal of General Systems, 2025, DOI:10.1080/03081079.20252484079. (SCI)
[63] W Hu, J. Dong*, Kai Yang, Z. Chen, Understanding key factors affecting underground logistics systems adoption and front-end planning: A cross-sectoral investigation and insights into emerging mobility solutions, Transport Policy, 2025, 164: 160-177. (SCI)
[62] Q. Liu, W Hu*, J. Dong, Kai Yang, R. Ren, Z. Chen, Cost-benefit analysis of road-underground co-modality strategies for sustainable city logistics, Transportation Research Part D, 2025, 139: 104585. (SCI)
[61] W. Wang, Kai Yang*, L. Yang, Z. Gao, J, Dong, H. Zhang, A decomposition scheme for Wasserstein distributionally robust emergency relief network design under demand uncertainty and social donations, Computers and Operations Research, 2025, 175:106913. (SCI)
[60] H. Zhang, Kai Yang*, J, Dong, L. Yang, Two-stage robust multimodal hub network design under budgeted demand uncertainty: A Benders decomposition approach and a case study, Computers and Operations Research, 2025, 174:106882. (SCI)
[59] M. Shen, Z. Zhao*, H. Wang, X. Wang, Z. Jiang, Kai Yang, Z. Wang, W. Liu, Round-trip multimodal transportation routes planning for foldable vehicle racks, Maritime Policy & Management, 2025, 52(6):930-954. (SCI)
[58] Y. Yao, M. Shen*, Kai Yang, Y. Gao, Four-Party Evolutionary Game Analysis of Value Co-Creation Behavior of Bulk Logistics Enterprises in Digital Transformation, Journal of Theoretical and Applied Electronic Commerce Research, 2024, 19(3): 2400-2432. (SSCI)
[57] M. Shen, Z. Zhao*, H. Wang, Z. Wang, W. Liu, X. Wang, Z. Jiang, Kai Yang, Y. Gao, Identifying recovery coupling in port-maritime-trade networks: Empirical analysis from the global container shipping market, International Journal of Shipping and Transport Logistics, 2025, 20(1):61-95. (SSCI)
[56] B. Miao, X. Shang*, Kai Yang, B. Jia, G. Zhang, Model and algorithm for the location-inventory problem in pallet pooling systems, Kybernetes, 2025, 54(12):7133-7157. (SCI)
[55] L. Jiang, X. Wang, Kai Yang*, Y. Gao, Collaborative optimization of acquisition selection and service pricing for inland-river ports based on repeated games, Engineering Optimization, 2024, 56(6):833-853. (SCI)
[54] J. Gao, Kai Yang*, M. Shen*, L. Yang, Data-driven traffic sensor location and path flow estimation using Wasserstein metric, Applied Mathematical Modelling, 2024, 133:211-231. (SCI)
[53] N. An, Kai Yang*, Y. Chen*, L. Yang, Wasserstein distributionally robust optimization for train operation and freight assignment in a metro-based underground logistics system, Computers & Industrial Engineering, 2024, 192:110228. (SCI)
[52] D. Wang, Kai Yang*, K. Yuen, L. Yang*, J. Dong, Hybrid risk-averse location-inventory-allocation with secondary disaster considerations in disaster relief logistics: A distributionally robust approach, Transportation Research Part E, 2024, 186:103558. (SCI)
[51] D. Wang, Kai Yang*, L. Yang*, S. Li, Distributional robustness and lateral transshipment for disaster relief logistics planning under demand ambiguity, International Transactions in Operational Research, 2024, 31:1736–1761. (SCI)
[50] Y. Wang, X. Wang, Kai Yang*, J. Ma, Competitive inland port location and pricing problem: A perspective from the entering seaport, International Journal of Industrial Engineering Computations, 2024, 15:593-614. (SCI)
[49] W. Wang, Kai Yang*, L. Yang, Z. Gao, Distributionally robust chance-constrained programming for multi-period emergency resource allocation and vehicle routing in disaster response operations, Omega-International Journal of Management Science, 2023, 120:102915. (SCI)
[48] W. Hu, J. Dong*, Kai Yang, B. Hwang, R. Ren, Z. Chen, Reliable design of urban surface-underground integrated logistics system network with stochastic demand and social-environmental concern, Computers & Industrial Engineering, 2023, 181:109331. (SCI)
[47] J. Ma, B. Wiegmans, X. Wang, Kai Yang*, L. Jiang, A Hybrid DEMATEL and Bayesian Best–Worst Method Approach for Inland Port Development Evaluation, Axioms, 2023, 12(12), 1116. (SCI)
[46] Z. Chen, W. Hu*, Y. Xu, J. Dong, Kai Yang, R. Ren*, Exploring decision-making mechanisms for the metro-based underground logistics system network expansion: An example of Beijing, Tunnelling and Underground Space Technology, 2023, 139:105240. (SCI)
[45] J. Ma, X. Wang, Kai Yang*, L. Jiang, Y. Gao, Optimizing inland port scale and function decisions: A bilevel programming approach, International Journal of Industrial Engineering Computations, 2023, 14:483-500. (SCI)
[44] D. Wang, Kai Yang*, L. Yang*, Risk-averse two-stage distributionally robust optimization for logistics planning in disaster relief management, International Journal of Production Research, 2023, 61(2):668-691. (SCI)
[43] W. Hu, J. Dong*, Kai Yang, R. Ren, Z. Chen, Network planning of metro-based underground logistics system against mixed uncertainties: A multi-objective cooperative co-evolutionary optimization approach, Expert Systems With Applications, 2023, 217:119554. (SCI)
[42] D. Wang, Kai Yang*, L. Yang*, J. Dong, Two-stage distributionally robust optimization for disaster relief logistics under option contract and demand ambiguity, Transportation Research Part E, 2023, 170:103025. (SCI)
[41] Kai Yang*, N. An, X. Shang, W. Wang, H, Zhang, Uncertain retailer-led supply chain contract design under asymmetric delivery reliability information: Sequential ordering and pricing decisions, Journal of Ambient Intelligence and Humanized Computing, 2023, 14:2797-2809. (EI)
[40] J. Ma, X. Wang, Kai Yang*, L. Jiang, Uncertain programming model for the cross-border multimodal container transport system based on inland ports, Axioms, 2023, 12(2), 132. (SCI)
[39] W. Hu, J. Dong*, Kai Yang, R. Ren, Z. Chen, Modeling real-time operations of metro-based urban underground logistics system network: A discrete event simulation approach, Tunnelling and Underground Space Technology, 2023, 132:104896. (SCI)
[38] L. Jiang, X. Wang, Kai Yang*, Y. Gao, Bilevel optimization for the reorganization of inland river ports: A niche perspective, Socio-Economic Planning Sciences, 2023, 86:101466. (SCI)
[37] H. Zhang, Kai Yang*, Y, Gao*, L. Yang, Accelerating Benders decomposition for stochastic incomplete multimodal hub location problem in many-to-many transportation and distribution systems, International Journal of Production Economics, 2022, 248:108493 (SCI)
[36] W. Wang, Kai Yang*, L. Yang, Z. Gao, Tractable approximations for the distributionally robust conditional vertex p-center problem: Application to the location of high-speed railway emergency rescue stations, Journal of the Operational Research Society, 2022, 73(3):525-539 (SCI)
[35] Z. Di, L. Yang*, J. Shi, H. Zhou, Kai Yang, Z. Gao*, Joint optimization of carriage arrangement and flow control in a metro-based underground logistics system, Transportation Research Part B, 2022, 159:1-23. (SCI)
[34] Y. Xu, J. Dong*, R. Ren, Kai Yang, Z. Chen,The impact of metro-based underground logistics system on city logistics performance under COVID-19 epidemic: A case study of Wuhan, China, Transport Policy, 2022, 116:81-95. (SCI)
[33] Y. Lu, L. Yang*, Kai Yang, Z. Gao*, H. Zhou, F. Meng, J. Qi, A distributionally robust optimization method for the passenger flow control strategy and train scheduling on an urban rail transit line, Engineering, 2022, 12:202-220. (SCI)
[32] W. Wang, Kai Yang*, L. Yang, Z. Gao, Two-stage distributionally robust programming based on worst-case mean-CVaR criterion and application to disaster relief management, Transportation Research Part E, 2021, 149:102332. (SCI)
[31] X. Shang, Kai Yang*, B. Jia*, Z. Gao. Distributionally robust cluster-based hierarchical hub location problem for integration of urban and rural public transport system, Computers & Industrial Engineering, 2021, 155:107181. (SCI)
[30] X. Shang, B. Jia*, Kai Yang*, Y. Yuan, H. Ji. A credibility-based fuzzy programming model for the hierarchical multimodal hub location problem with time uncertainty in cargo delivery systems, International Journal of Machine Learning and Cybernetics, 2021, 12:1413-1426. (SCI)
[29] Kai Yang, Y. Lu*, L. Yang, Z. Gao. Distributionally robust last-train coordination planning problem with dwell time adjustment strategy, Applied Mathematical Modelling, 2021, 91:1154-1174. (SCI)
[28] X. Shang, Kai Yang*, B. Jia*, Z. Gao, H. Ji. Heuristic algorithms for the bi-objective hierarchical multimodal hub location problem in cargo delivery system, Applied Mathematical Modelling, 2021, 91:412-437. (SCI)
[27] X. Shang, Kai Yang*, B. Jia*, Z. Gao. The stochastic multi-modal hub location problem with direct link strategy and multiple capacity levels for cargo delivery systems, Transportmetrica A: Transport Science, 2021, 17(4):380-410. (SCI)
[26] C. Yan, X. Wang, Kai Yang*, Fuzzy Reliability Optimization for 2-Hub Center Problem with Cluster-based Policy and Application in Cross-Border Supply Chain Network Design Using TS Algorithm, Complexity, 2020, Article ID 5065640, 1-12. (SCI)
[25] X. Shang, Kai Yang*, W. Wang, W. Wang, F. Zhang, S. Celic. Stochastic Hierarchical Multimodal Hub Location Problem for Cargo Delivery Systems: Formulation and Algorithm, IEEE Access, 2020, 8:55076-55090. (SCI)
[24] Kai Yang*, R. Wang, L. Yang, Fuzzy reliability-oriented optimization for the road-rail intermodal transport system using tabu search algorithm, Journal of Intelligent & Fuzzy Systems, 2020, 38(3):3075-3091. (SCI)
[23] W. Zhang, X. Wang*, Kai Yang*, Uncertain multi-objective optimization for the water-rail-road intermodal transport system with consideration of hub operation process using a memetic algorithm, Soft Computing, 2020, 24(5):3695-3709. (SCI)
[22] W. Zhang, X. Wang*, Kai Yang*, Incentive Contract Design for the Water-Rail-Road Intermodal Transportation with Travel Time Uncertainty: A Stackelberg Game Approach, Entropy, 2019, 21(2):161. (SCI)
[21] R. Wang, Kai Yang*, L. Yang, Z. Gao, Modelling and optimization of a road-rail intermodal transport system under uncertain information, Engineering Applications of Artificial Intelligence, 2018, 72:423-436. (SCI)
[20] J. Qi, L. Yang*, Z. Di, S. Li, Kai Yang, Y. Gao, Integrated optimization for train operation zone and stop plan with passenger distributions, Transportation Research Part E, 2018, 109:151-173. (SCI)
[19] J. Jia, Kai Yang*, L. Yang, Y. Gao, S. Li, Designing train speed trajectory with the energy efficiency and service quality, Engineering Optimization, 2018, 50(5):797-818. (SCI)
[18] J. Qi, S. Li, Y. Gao, Kai Yang, P. Liu, Joint optimization model for train scheduling and train stop planning with passengers distribution on railway corridors, Journal of the Operational Research Society, 2018, 69(4), 556-570. (SCI)
[17] S. Yang, Kai Yang*, L. Yang, Z. Gao, MILP formulations and a TS algorithm for reliable last train timetabling with uncertain transfer flows, Journal of the Operational Research Society, 2018, 69(8), 1318-1334. (SCI)
[16] S. Yang, Kai Yang*, Z. Gao, L. Yang, J. Shi, Last-train Timetabling under Transfer Demand Uncertainty: Mean-variance Model and Heuristic Solution, Journal of Advanced Transportation, 2017, Volume 2017, Article ID 5095021, 13 pages. (SCI)
[15] R. Wang, Kai Yang*, L. Yang, Designing hub-and-spoke network with uncertain travel times: A new hybrid methodology, Journal of Uncertain Systems, 2017, 1(4):243-256.
[14] Kai Yang*, L. Yang, Z.Gao, Hub-and-spoke network design problem under uncertainty considering financial and service issues: A two-phase approach, Information Sciences, 2017, 402:15-34. (SCI)
[13] Kai Yang, Y. Lan, R. Zhao, Monitoring mechanisms in new product development with risk-averse project manager, Journal of Intelligent Manufacturing, 2017, 28(3):667-681. (SCI)
[12] J. Wang, Kai Yang*, R. Zhao, The impact of decision criteria on deadline-based incentive contracts in project management, Journal of Intelligent Manufacturing, 2017, 28(3):643-655. (SCI)
[11] Kai Yang, L. Yang*, Z.Gao, Planning and optimization of intermodal hub-and-spoke network under mixed uncertainty, Transportation Research Part E, 2016, 95:248-266. (SCI)
[10] Kai Yang, R. Zhao, Y. Lan, Impacts of uncertain project duration and asymmetric risk sensitivity information in project management, International Transactions in Operational Research. 2016, 23(4):749-774. (SCI)
[9] Kai Yang, R. Zhao, Y. Lan, Incentive contract design in project management with serial tasks and uncertain completion times, Engineering Optimization, 2016, 48(4):629-651. (SCI)
[8] H. Zhai, Y. Liu, Kai Yang, Modeling two-stage UHL problem with uncertain demands, Applied Mathematical Modelling, 2016, 40(4):3029-3048. (SCI)
[7] Kai Yang, Y. Liu*, Developing equilibrium optimization methods for hub location problems, Soft Computing, 2015, 19(8):2337-2353. (SCI)
[6] G. Yang, Y. Liu, Kai Yang, Multi-objective biogeography-based optimization for supply chain network design under uncertainty, Computers & Industrial Engineering, 2015, 85:145-156. (SCI)
[5] Kai Yang, R. Zhao, Y. Lan, The impact of risk attitude in new product development under dual information asymmetry, Computers & Industrial Engineering, 2014, 76(10):122-137. (SSCI&SCI)
[4] Kai Yang, Y. Liu, G. Yang, Optimizing fuzzy p-hub center problem with generalized value-at-risk criterion, Applied Mathematical Modelling, 2014, 38(15-16):3987-4005. (SCI)
[3] Kai Yang, Y. Liu, G. Yang, Solving fuzzy p-hub center problem by genetic algorithm incorporating local search, Applied Soft Computing, 2013, 13(5):2624-2632. (SCI)
[2] Kai Yang*, Y. Liu, G. Yang, An improved hybrid particle swarm optimization algorithm for fuzzy p-hub center problem, Computers & Industrial Engineering, 2013, 64(1):133-142. (SCI)
[1] R. Qin, Y. Liu, Kai Yang, A new decomposition method for birandom programming and its application, Information: An International Interdisciplinary Journal, 2013, 16(2):855-865.
发表的中文期刊论文：
[8] 王朵，杨凯*，杨立兴，付帅帅，郑琰，王维巧，复杂不确定环境下重大建设工程管理韧性评价，系统管理学报，2025，已录用. (CSSCI)
[7] 杨爽，贾斌，杨凯*，高大有，面向韧性提升的城市道路交通系统应急设施选址与抢修调度协同优化，系统科学与数学，2025，45(11):3385-3403. (CSCD)
[6] 高大有，杨凯*，杨立兴，郝宇驰，王恩泰，面向综合利用的重大工程土石方消纳场动态选址-调配联合优化，系统科学与数学，2025，45(4):1082-1101. (CSCD)
[5] 王喜富，马骏驰，杨凯*，国内外陆港研究进展与前景展望——基于CiteSpace知识图谱分析, 北京交通大学学报(社会科学版), 2024, 23(2):74-82. (CSSCI)
[4] 马倩乾, 李树凯*, 杨立兴, 杨凯, 不确定信息下的灾后道路实时抢修鲁棒优化策略, 系统工程学报, 2024, 39(3):399-411. (CSCD)
[3] 商晓婷, 杨凯*, 张国庆, 贾斌, COVID-19疫情下定点收治医院动态选址-分配优化, 控制与决策, 2023,38(6):1533-1540. (EI)
[2] 张春田, 戚建国*, 杨凯, 杨立兴, 高自友, 高原, 基于两阶段分布鲁棒优化的列车停站方案与时刻表协同研究, 控制与决策, 2023, 38(4):1065-1073. (EI)
[1] 卢亚菡, 杨凯*, 杨立兴, 夏东阳, 王朵, 基于分布鲁棒优化的城市轨道交通网络末班车衔接研究, 控制与决策, 2023, 38(1):248-256. (EI)
[5] J. Guo, Kai Yang, Optimizing Capacitated Hub-and-Spoke Airline Network under Disruption, Proceedings of SPIE-The International Society for Optical Engineering, 2024, 13064. (EI)
[4] Z. Wu, Kai Yang, Collaborative Optimization of Train Scheduling and Passenger Flow Control with Adjustable Dwell Time on a Congested Metro Line, Lecture Notes in Electrical Engineering, 2024, 1137: 540-548. (EI)
[3] H. Zhang, Kai Yang, Multimodal capacitated hub location problem with multi-class demands in many-to-many transportation and distribution systems, Proceedings of SPIE-The International Society for Optical Engineering 12058, 2021. (EI)
[2] G. Yang, Y. Liu, Kai Yang, Modeling supply chain network design problem with joint service level constraint, Advances in Intelligent and Soft Computing, 2012, 123:311-318. (EI)
[1] Kai Yang, Y. Liu, X. Zhang, Stochastic p-hub center problem with discrete time distributions, Lecture Notes in Computer Science, 2011, 6676(2):182-191. (EI)
专著/译著
刘彦奎, 白雪洁, 杨凯. 参数可信性优化方法[M], 科学出版社, 2017-12.专利
[1] 一种基于分布鲁棒优化技术的应急救援物资动态调配方法，发明专利，中国，授权，专利号：ZL202111325141.7
[2] 基于地铁共线共车的地下物流系统优化控制方法，发明专利，中国，授权，专利号：ZL202010661683.0
软件著作权
获奖与荣誉
[1]“城市交通管理理论与方法”国家自然科学基金创新研究群体2017年度优秀个人奖，交通系统科学与工程研究院，2017.12[2] 天津大学2016年校级优秀博士学位论文，天津大学，2016.11
社会兼职
[1] 中国运筹学会智能计算分会理事
[2] 《铁道科学与工程学报》第二届青年编委
[3] 担任国际SCI检索期刊《Transportation Science》、《Transportation Research Part B》、《Transportation Research Part E》、《Transportmetrica A: Transport Science 》、《IISE Transactions》、《Computers & Industrial Engineering》等匿名审稿人