U-PASS

Urban Public Administration and Services innovation for Innovative Urban Mobility Management and Policy

Motivated by the world-wide shared desire and need for more efficient, reliable and environmentally sustainable urban transport, the U-PASS project investigates how to improve the benefits of transport, while limiting its downsides. The project aims to offer innovations in the design of new services and policies in urban transport, with a focus on policies and services such as tradable credits schemes, automated vehicles, electric driving, ride sharing, car sharing, and cycling. The project studies short-run behavioural impacts through real-life experimental studies in both China and Europe, and long-run implications through advanced urban transport modelling approaches.

The collaboration between Chinese and European top institutes - combined with applications in both parts of the world - gives a great opportunity for cross-fertilization, comparative study, and exploitation of diversity for the purpose of generalizing and transferring insights to be gathered.

TEAM

Outreach

Journal articles

• 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., 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, 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.  
• 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.
• 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.  
• 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,   
• 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. 
• Yu, Jiayi Joey, Christopher S. Tang, Zuo-Jun Max Shen, and Xiqun Michael Chen (2019). A Balancing Act of Regulating On-Demand Ride Services, Management Science, Published online in Articles in Advance.  
  
• Xu, M., Xue. Q., and Mullen, C. (2020). Governance for Emerging Autonomous Driving Development in China? Transportation Research Record, 2 (6)
• 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. 
• Zahiri M., Liu J. and Chen X. (2019). A new approach in efficiency and sustainability of taxi industry. Sustainability, 11(18), 4944. 
• 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).  
  
  

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  

Presentations given at international conferences

• Geng, K., Wang, Y., Brands, D., and 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.
• Harrison, G., Shepherd, S. and Mullen C. (2020). 'Governance an Modelling of a Tradable Transport Permit Scheme. European Transport Conference Online. 9-11 September.
• Liang. L., and 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, October. 
• Mullen, C., Shepherd, S., Xu, M., and Xue. Q. (2019). ‘Governance and regulation of autonomous mobility for sustainable mobility?’. 7th International Conference on Transportation and Space-time Economics. 
• Su, D., Wang, Y., Lien, L. and Wang, J. (2020). ‘Promoting Parking Behavior of Shared Bicycles with Social Norm Information: a Field Experiment’. Economic Science Association meeting.
• Wang Y., Geng, K., Cherchi, E., and Guarda, P. (2019). ‘Commuter Departure Time Choice Behavior under Congestion Charge: Analysis based on Cumulative Prospect Theory’. International Transportation Economics Association Conference.
• Wang. G., Li, Y., and 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, October.
• Xu, M., Xue. Q., and Mullen, C. (2019). ‘Governance for Emerging Autonomous Driving Development in China?’. 7th International Conference on Transportation and Space-time Economics.
• Xue, Q., Xu, M., and Mullen, C. (2020). Governance of Emerging Autonomous Driving Development in China. 99th Transportation Research Board (TRB) Annual Meeting.
• Yao F., Chen X.*, Angeloudis P., and 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, China.
• Zhan, Z., Wang, Y., and 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.
• Zhang J., Chen X. and Wang Z. (2020). ‘On network effects in the ride-sourcing market with heterogeneous users’. The 20th COTA International Conference of Transportation Professionals, Beijing, China, July 4-6. 
• Zhu J., Mo D. and 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. and 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. 

News articles

• 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)
• Publication of Dr. Xiqun (Michael) Chen et al. in Management Science (April 2020)
• U-PASS member Dr. Xiqun (Michael) Chen attended TRB meeting in Washington DC (January 2020)
  
• U-PASS: Chinese-European research cooperation on improving urban transport (January 2020, blog / interview with Erik Verhoef on spatialeconomics.nl)
• Coauthored U-PASS Program Textbook "Markets and Governments: Transport Economic Theory and Applications" officially published (December 2019, translated from Beijing Jiaotong University web)
• U-PASS Program team member Prof. Erik Verhoef with Vrije Universiteit Amsterdam leads a team to attend TSTE2019 (October 2019, translated from Beijing Jiaotong University web)
• U-PASS Project Team Members Developed Agent-Based Modeling and Simulation for Shared Autonomous Electric Vehicles (October 2019, translated from Beijing Jiaotong University web)
• Tradable breakfast coupon economics experiment under the U-PASS program well underway (July 2019, translated from Beijing Jiaotong University web)
• Environmental concerns behind the “lifting of ban” on new energy vehicles" (July 2019, translated from Beijing Jiaotong University web)
• Workshop on innovation in urban mobility management and policy takes place in Beijing (April 2019, translated from Beijing Jiaotong University web)
• The kickoff meeting of the Chinese project team of China-EU cooperation program “Urban public administration and service innovation: new-type urban mobility management and policy (U-PASS)” (March 2019, translated from Beijing Jiaotong University web)

Below: Working in times of Covid-19. The first U-PASS Zoom meeting was very successful with no less than 35 participants! (8 & 9 July, 2020)

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.