Journal papers and book chapter
Tang, Y.*, Jiang, Y., Yang, H., & Nielsen, O. A (2020) Modelling and optimizing a fare incentive strategy to manage queuing and crowding in mass transit systems. Transportation Research Part B: Methodological, 138, 247-267.
Tang, Y.*, Yang, H., Wang, B., Huang, J., & Bai, Y (2020). A Pareto-improving and revenue-neutral scheme to manage mass transit congestion with heterogeneous commuters. Transportation Research Part C: Emerging Technologies, 113, 245-259.
Yang, H., & Tang, Y* (2018). Managing rail transit peak-hour congestion with a fare-reward scheme. Transportation Research Part B: Methodological, 110, 122-136. (Most cited articles published since 2018, as of 2021 May)
Abegaz, D. and Tang, Y (2019). The Bottleneck Model. In Börjesson, M. (Ed.) International Encyclopaedia of Transportation. Elsevier.
Wei Liu, Fangni Zhang, Xiaolei Wang, Yili Tang. (2021). A review of selected transport pricing and financing issues in Asia. Handbook on Transport Pricing and Financing. Elsevier. (Revision).
Abdullah, D., Adewuyi, A., Tang, Y.*, (2021). The impacts of on-demand transit service
Tang, Y.*, Li, L., Meng, H., (2021). Towards Mobility as a Service by transit transfer protections in suburb regions.
Liu, Y., Tang, Y.*, Yang, H. (2021). Passenger’s willingness to wait in ride-sourcing market.
Selected conference papers
Tang, Y*., Yang, H., Zhang, L., Wu, X., & Ye, J. (2019). Inferring commuter’s values of time in ride-sourcing service: a multi-stage deep learning approach. The 7th INFORMS Transportation Science and Logistics Society Workshop, Vienna, Austria.
Tang, Y*., Yang, H., Wang, B., Huang, J., & Bai, Y. (2018). The hybrid fare scheme in the transit bottleneck model with heterogeneous arrival time flexibility. Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies (HKSTS).
Tang, Y*., Yang, H., & Liu, C., (2018) Commuter’s departure time choice with a fare-reward scheme in a multi-to-single mass transit system. Proceedings of the 7th International Symposium on Dynamic Traffic Assignment, Hong Kong.
Tang, Y*. & Yang, H., (2018) The Pareto-improving hybrid fare scheme with heterogeneity in commuter’s scheduling flexibility. INFORMS Annual Meeting, Phoenix, US.
Tang, Y*. & Yang, H., (2018) The hybrid fare scheme in the transit bottleneck model with heterogeneous scheduling flexibility. International Transportation Economics Association Conference, Hong Kong.
Tang, Y., Rivera, L., Li, L., Meng, H. (2020). Integrated Dynamic Transit Operation (IDTO) Phase II. 78. University of California, Berkeley.
Tang Y., Zhu, H., Ye, J., et al., investors; Didi Chuxing Technology., assignee. Inferring customers’ expected user costs and shadow values of travel attributes integrating deep learning approaches and behavioral theory. China patent CN 111369025A. 2020 July 03.
Last update: Dec 15, 2021