U-PASS

More information

• Team

  Vrije Universiteit Amsterdam 

  - Prof. Erik Verhoef (Coordinator)

  - Dr. Vincent van den Berg

  - Dr. Jasper Knockaert

  - Dr. Paul Koster

  - Diego Candia Riquelme (PhD student)

  University of Leeds 

  - Prof. Simon Shepherd

  - Prof. Susan Grant-Muller

  - Dr. Caroline Mullen

  - Dr. Chandra Balijepalli

  Beijing Jiaotong University 

  (Institute of Transportation System Science and Engineering) 

  - Dr. Meng Xu

  - Dr. Xianyu Wu

  Beijing Jiaotong University

  (School of Economics and Management)

  - Dr. Yacan Wang

  - Dr. Zhigang Cao

  - Dr. Lingling Xiao

  - Dr. Huiyu Zhou

  - Dr. Jingjuan Jiao

  Zheijang University

  - Dr. Xiqun (Michael) Chen

  Beijing Transport Insitute 

  - Dr. Kai Xian

  Project manager & contact person:

  Hadewijch van Delft

  Vrije Universiteit Amsterdam

  +(31) 20 5982191

• Outreach

  PhD Dissertation

  • Candia, D. Innovative policies and technologies in urban transport: A general-equilibrium analysis. Expected finalization: August 2024

  Journal articles (in alpabetic order)

  • Aldenius, M., Mullen, C.A. and Pettersson-Löfstedt, F. (2022). Electric buses in England and Sweden – Overcoming barriers to introduction. Transportation Research Part D: Transport and Environment, 104
  • Bao Y. Xu M. Dogterom N., Ettema D., and Gao Z. (2020). Shall we change our dependence on private car with travel demand management measures? –An effectiveness investigation in Beijing. Transport Research Part F, 72, 47-61.
  • Candia, D. and E.T. Verhoef (2022). Tradable permits in a monocentric city with pre-existing labor taxation: a general equilibrium perspective. Transportation Research B, 163: 145-165
  • Chen C., Hu S., Ochieng W., Xie N. and Chen X.* (2021). Understanding city-wide ride-sourcing travel flow: A geographically weighted regression approach. Journal of Advanced Transportation, 9929622. (SCI, IF=2.249)
  • Chen C., Yao F., Mo D., Zhu J. and Chen X.* (2021). Spatial-temporal pricing for ride-sourcing platform with reinforcement learning. Transportation Research Part C: Emerging Technologies, 130, 103272. (SCI, IF=9.022)
  • Chen X., Chen X., Zheng H. and Xiao F. (2021). Efficient dispatching for on-demand ride services: Systematic optimization via Monte-Carlo tree search. Transportation Research Part C: Emerging Technologies, 127, 103156. (SCI, IF=9.022)
  • Ding, Z., Z. Dai, S. Chen, and R. Jiang (2020). Simulating on-demand ride services in a Manhattan-lie urban network considering traffic dynamics. Phsyica A, 545, 123621. 
  • Geng, K., Brands, K., Verhoef, E.T. and Y. Wang (2023). The impact of tradable rush hour permits on peak demand: Evidence from an on-campus field experiment. Transportation Research Part D: Transport and Environment, 120: 1-19  
  • Geng, K., Y. Wang, D. Ettema, and J. Anderson (2020). Exploring the effects of congestion charge  on relocation decisions under non-capital functions relieving strategy in Beijng. Research in Transportation Businesss & Management, 100469. 
  • Li L., Jiang R., He Z., Chen X., Zhou X. (2020). Trajectory data-based traffic flow studies: A revisit. Transportation Research Part C: Emerging Technologies, 114, 225-240
  • Liang, L., Xu, M., Grant-Muller, S.  and Lorenzo, M. (2019). Household travel mode choice estimation with large-scale data—an empirical analysis based on mobility data in Milan. International Journal of Sustainable Transportation, 15(1), 70-85.  
  • Liu J., Ong G. and Chen X. (2022). GraphSAGE-based traffic speed forecasting for road segment network with sparse data. IEEE Transactions on Intelligent Transportation Systems, 23(3), 1755-1766. (SCI, IF=9.551)
  • Liu J., Han K., Chen X. and Ong G. P. (2019). Spatial-temporal inference of urban traffic emissions based on taxi trajectories and multi-source urban data. Transportation Research Part C: Emerging Technologies, 106, 145-165.
  • Pattinson J.A., Harrison G., Mullen C. & Shepherd S. (2022). Combining Tradable Credit Schemes with a New Form of Road Pricing: Producing Liveable Cities and Meeting Decarbonisation Goals. Sustainability (14) 8413.
  • Shen L., Shao Z., Yu Y. and Chen X.* (2021). Hybrid approach combining modified gravity model and deep learning for short-term forecasting of metro transit passenger flows. Journal of Transportation Research Board: Transportation Research Record, 2675(1), 25-38. (SCI, IF=2.019)
  • Sun, Z., Wang, Y., Zhou, H., Jiao, J., and Overstreet, R. (2019). Travel behaviours, user characteristics, and social-economic impacts of shared transportation: a comprehensive review, International Journal of Logistics Research and Applications, 1-28. 
  • Verhoef, E., Wang, Y., and Hu, Y. (2019). Markets and government: transport economic theory and applications, Social science literature publishing house. 
  • Wang D., Cai Z., Cui Y. and Chen X. (2019). Nonnegative tensor decomposition for urban mobility analysis and applications with mobile phone data. Transportmetrica A: Transport Science 18(1), 29-53.  
  • Wang. G., Li, Y., Xu, M., and Gao, Z. (2019). Operating a public–private mixed road network via determining tradable credits and road tolls: An equilibrium problem with equilibrium constraints approach. International Journal of Sustainable Transportation, 15(1), 87-96.  
  • Wang, Y., Jia, S., Zhou, H., Charlton, S., and Hazen, B. (2020). Factors affecting orderly parking of dockless shared bicycles: an exploratory study. International Journal of Logistics-Research and Applications, 1–23. 
  • Wang, Y. , Cao, Z., and Czerny, A. (2020). TSTE 2018-sustainable transportation: Theory and practice. Transportation Research Part E, 101854.
  • Wang Z., Chen X. and Chen X. (2019), Ridesplitting is shaping young people’s travel behavior: Evidence from comparative survey via ride-sourcing platform. Transportation Research Part D: Transport and Environment, 75, pp. 57-71. 
  • Xue Q.J. Xu M., Mullen C., (2020). Governance of Emerging Autonomous Driving Development in China. Transportation Research Record, 2674(6), 281-290.
  • Xiao H. H., Xu M., Yang H. (2020). Pricing strategies for shared parking management with double auction approach: Differential price vs. uniform price. Transportation Research Part E, 136, 101899.
  • Xu M. & Emberger G. (2021). Editorial: Transport governance innovations in urban mobility development, Research in Transportation Business & Management, 38, 100635.
  • Xu, M. & Gao Z.Y. (2021). Tradable Credits Scheme for Urban Travel Demand Management. Journal of Transportation Systems Engineering and Information Technology, 21(5), 12-21 (Chinese)
  • Xu M.,  Inci E., Chu F. &  Verhoef E. (2021). Editorial: Parking in the connected and automated era: Operation, planning and management. Transportation Research Part C, 127, 103115
  • Xu, M., Xue. Q., and Mullen, C. (2020). Governance for Emerging Autonomous Driving Development in China? Transportation Research Record, 2 (6)
  • Yu J., Mo D., Xie N., Hu S. and Chen X.* (2021). Exploring multi-homing behavior of ride-sourcing drivers via real-world multiple platforms data. Transportation Research Part F: Traffic Psychology and Behaviour, 80, 61-78. (SSCI, IF=4.349)
  • Yu J., Stettler M., Angeloudis P., Hu S. and Chen X. (2020). Urban network-wide traffic speed estimation with massive ride-sourcing GPS traces. Transportation Research Part C: Emerging Technologies, 112, 136-152. 
  • Yu, J. J., Tang, Christopher S., Shen, Zuo-Jun Max, and Chen, Xiqun Michael (2019). A Balancing Act of Regulating On-Demand Ride Services, Management Science, Published online in Articles in Advance.  
  • Yu J., Xie N., Zhu J., Qian Y., Zheng S. and Chen X.* (2022). Exploring impacts of COVID-19 on city-wide taxi and ride-sourcing markets: Evidence from Ningbo, China. Transport Policy, 115, 220-238. (SSCI, IF=6.173)
  • Zahiri M., Liu J. and Chen X. (2019). A new approach in efficiency and sustainability of taxi industry. Sustainability, 11(18), 4944. 
  • Zhan X., Szeto W. Y.*, Shui C. S. and Chen X. (2021). A modified artificial bee colony algorithm for the dynamic ride-hailing sharing problem. Transportation Research Part E: Logistics and Transportation Review, 150, 102124. (SSCI, IF=10.047)
  • Zhang S., Zhou L., Chen X., Zhang L., Li L. and Li M. (2020), Network-wide traffic speed forecasting: 3D convolutional neural network with ensemble empirical mode decomposition. Computer-Aided Civil and Infrastructure Engineering, 35 (10): 1132-1147.
  • Zhou L., Zhang S., Yu J. and Chen X. (2020). Spatial-temporal deep tensor neural networks for large-scale urban network speed prediction. IEEE Transactions on Intelligent Transportation Systems, 21 (9).  
  • Zhu Z., Sun L., Chen X.* and Yang H. (2021). Integrating probabilistic tensor factorization with Bayesian supervised learning for dynamic ridesharing pattern analysis. Transportation Research Part C: Emerging Technologies, 124, 102916. (SCI, IF=9.022)

  Book(s) (chapters)

  • Textbook “Markets and government: transport economic theory and applications”, published by the Social Science Literature Publishing House (in Chinese).
  • Mullen, C., (2020). Governing a risky relationship between sustainability and smart mobility, in Smart Urban Mobility - Law, Regulation, and Policy (Michèle Finck, Matthias Lamping, Valentina Moscon, Heiko Richter, eds.). Heidelberg: Springer        

  Special issues of journals (in alphabetic order)

  • Emberger G., Shibayama T. & Wang Y., (2021). Contemporary national and regional transport policy and planning, Transport Policy, 113, pp, 76
  • Jiangping Z., Wadud Z., Jiao J., & Wang Y. (2022). Understanding and planning shared micromobility, special issue of Transportations Research Part D: Transport and Environment, 103, 103172.
  • Wang Y., Cao Z. & Czerny A. I. (2020). TSTE 2018-sustainable transportation: Theory and practice, special issue of Transportation Research Part E: Logistics and Transportation Review, 134, 101854.
  • Wang Y., Zhou H., & Choudhury C. (2021). Sustainable Transport, special issue of Transportation Research Part F: Traffic Psychology and Behaviour, 82.
  • Xu M. & Emberger G., (2021). Transport governance innovations in urban mobility development, special issue of Transportation Business & Management, 38, 100635.
  • Xu M., Inci, E., Chu F. & Verhoef E. (2021). Parking in the connected and automated era: Operation, planning, and management, special issue of Transportation Research Part C, 127, 103115.
  • Yeo H.S., Ge Y.E., Jang K., Xu M. & Sze T. (2021). Emerging technologies for sustainable transportation system, special issue of International Journal of Sustainable Transportation, 15, 323-324.

  Deliverables

  • Deliverable 1: Regulatory framework and regulatory challenges raised by new mobility services     

  Presentations given at international conferences

  •  Candia D. (2022). Pricing schemes in the autonomous era: a monocentric general equilibrium model.  Annual Conference of the International Transportation Economics Association (ITEA), Toulouse, June 15-17.
  • Candia, D. (2023). Autonomous vehicles in a monocentric city with heterogenous workers: effects on welfare, labor supply and tax interactions. Workshop: Transport policy in the age of autonomous vehicles, TU Dresden, May 3-4, 2023. 
  • Candia D., Basurto, S., & Verhoef, E.T. (2023). Spatial-general equilibrium effects of automated driving in the Netherlands. Annual Conference of the International Transportation Economics Association (ITEA). June 14-16, 2023.
  • Candia, D. & Verhoef E.T. (2021). Effects of different tradable mobility permits schemes in a monocentric city with a pre-existing labor tax.  Annual Conference of the International Transportation Economics Association (ITEA), online, June 21-26.
  • Geng K., Wang Y., Brands D. & Verhoef E. (2019). Battling canteen queues: a field experiment with tradable rush hour permits among students. 7th International Conference on Transportation and Space-time Economics, Beijing, October 11-13.
  • Harrison G., Shepherd S.P. & Mullen C. (2020). Governance and Modelling of a tradable transport permit scheme. European Transport Conference 2020, online, September 9-11. 
  • Harrison G., Shepherd S.P., Pfaffenbichler P., Xu M. & Tiang H. (2022). Modelling New Mobility Services. European Transport Conference 2022, Milan, September 7-9. 
  • Li J., Zhang K., Shen L., Wang Z., Guo F., Angeloudis P., Chen X. & Hu S. (2021). A domain adaptation framework for short-term traffic prediction. 24th IEEE International Conference on Intelligent Transportation Systems, Indianapolis, USA, September 19-22.
  • Liang L. & Xu M. (2019). Using tradable credit scheme for morning commuting congestion Management with an activity-based approach. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 962–967, Auckland, October 27-30. 
  • Mo D., Chen X. & Zhang J. (2021). Modeling and managing mixed on-demand ride services of human-driven vehicles and autonomous vehicles. 12nd International Workshop on Computational Transportation Science (CTS), Harbin, China, July 28-30.
  • Mo D., Zheng S. & Chen X. (2021). Modeling morning commute problem with real-time ridesharing services. 20th and 21st Joint COTA International Conference of Transportation Professionals, Xi'an, China, July 2-5. 
  • Mullen C., Shepherd S., Xu M. & Xue. Q. (2019). Governance and regulation of autonomous mobility for sustainable mobility?  7th International Conference on Transportation and Space-time Economics, Beijing, October 11-13. 
  • Ni L., Chen C. & Chen X. (2020). Network equilibrium analysis of competitive ride-sourcing market. 99th Annual Meeting of Transportation Research Board, Washington DC, January 12-16.
  • Shen L., Shao Z., Yu Y. & Chen X. (2020). Short-term forecasting of metro transit passenger flows: A hybrid approach combining modified gravity model and deep learning. 99th Annual Meeting of Transportation Research Board, Washington DC, January 12-16.
  • Su D., Wang Y., Lien L. & Wang J. (2020). Promoting Parking Behavior of Shared Bicycles with Social Norm Information: a Field Experiment. Economic Science Association meeting 2020, New York, June 17-20.
  • Verhoef, E.T., Candia D. & S. Basurto (2023). Automated driving and spatial behaviour: a general equilibrium study for the Randstad area. Workshop: Transport policy in the age of autonomous vehicles, TU Dresden, May 3-4, 2023.
  • Wang G., Li Y., Xu M. (2019). Integrating the management and design of urban road network to alleviate tide traffic. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 708–713, Auckland, October 27-30.
  • Wang Y., Geng K., Cherchi E. & Guarda, P. (2019). Commuter Departure Time Choice Behavior under Congestion Charge: Analysis based on Cumulative Prospect Theory. International Transportation Economics Association Conference, Paris, June 12-14.
  • Xiao H.H. & Xu M. (2019). Bidding with anticipated regret in a double shared parking auction market: A modeling approach integrating goal frames. The conference of the International Transportation Economics Association (ITEA2019), Paris, June 12-14. 
  • Xiao H.H. (2019). A novel parking solution for future mobility. The 2nd Workshop on Innovative Urban Mobility Management and Policy (IUMMP2019), Beijing, October 25. 
  • Xu M., Xue Q. & Mullen, C. (2019). Governance for Emerging Autonomous Driving Development in China? 7th International Conference on Transportation and Space-time Economics, Beijing, October 11-13. 
  • Xue Q., Xu M. & Mullen C. (2020). Governance of Emerging Autonomous Driving Development in China. 99th Transportation Research Board (TRB) Annual Meeting, Washington DC, January 12-16.
  • Xue Q.J., Xu M. & Mullen C. (2022). Risk governance of autonomous vehicles: A tentative investigation in China using conceptualization of cognitive style. The 101st Annual Meeting of Transportation Research Board, Washington DC, January 9-13.  
  • Yao F., Chen X., Angeloudis P. & Zhang W. (2020). Agent-based modeling and simulation for systematic operations of shared automated electric vehicles. The 20th COTA International Conference of Transportation Professionals, Beijing, July 4-6.
  • Zhan Z., Wang Y., & Choudhury C. (2019). Estimating the value of travel time reliability in Beijing combining large-scale GPS and small-scale survey data. 7th International Conference on Transportation and Space-time Economics, Beijing, October 11-13. 
  • Zhang J., Chen X. & Wang Z. (2020). On network effects in the ride-sourcing market with heterogeneous users. The 20th COTA International Conference of Transportation Professionals, Beijing, July 4-6. 
  • Zhang J., Geng M., Gu J. & Chen X. (2021). Short-term speed forecasting of large-scale urban road network based on Transformer. The 20th and 21st Joint COTA International Conference of Transportation Professionals, Xi'an, China, July 2-5. 
  • Zhu J., Mo D. & Chen X. (2020). A grouping approach to ridesplitting optimization. The 20th COTA International Conference of Transportation Professionals, Beijing, China, July 4-6.
  • Zhu Z., Sun L., Chen X. & Yang H. (2019). Understanding ride-sharing behavior in a ride-sourcing market using Bayesian conditional tensor factorization. The 24th International Conference of Hong Kong Society for Transportation Studies, Hong Kong, December 14-16.
  • Zhu Z., Sun L., Chen X. & Yang H. (2020). Bayesian supervised learning and latent class analysis of dynamic ridesharing behavior via probabilistic tensor factorization. The 99th Annual Meeting of Transportation Research Board, Washington DC, January 12-16.
  • Zhu Z., Xu M., Di Y., Yu J. & Chen X. (2022). Spatial-temporal modeling of ride-sourcing order matching and passenger pickup processes based on additive Gaussian process models. The 101st Annual Meeting of Transportation Research Board, Washington DC, January 9-13.

   News articles

  • Final workshop U-PASS: Innovations in services and policies in urban transport (July 2022).
  • High end think tank Forum on 'transportation and high quality economic and social development in post epidemic era' of TSTE 2020 was successfully held in Beijng Jiatong University (24 November, 2020).
  • EIC meeting of TSTE 2020 was succesfully held in Beijing Jiaotong University (November 2020)
  • U-PASS: Chinese-European research cooperation on improving urban transport (January 2020, blog / interview with Erik Verhoef on spatialeconomics.nl)

• About the project

  U-PASS is part of the Sustainable and Liveable Cities and Urban Areas programme, jointly organized by nine European partners of JPI Urban Europe and the National Science Foundation of China (NSFC), in order to encourage collaboration between researchers from Chinese and European universities, research institutes, research and technology organizations, cities and city planning departments, as well as European companies to develop knowledge, integrate solutions and decision support tools to a wide spectrum of urban challenges (Grant No. 71961137005).

  U-PASS runs from March 2019 until July 2023.

  All joint work will be done from March 2019 until March 2022.