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Zheng H., Zhang K., and Nie Y.M. (2025). Does dockless bikesharing create a competition for losers? Transportation Science, in press.
Dai T., Zheng H., and Nie Y.M. (2025). Is free transit just? Quantifying the impact of ethical principles on transit design and finance. Transportation Research Part B: Methodological, in press.
Zheng H., Li J., Lin, J., and Nie Y.M. (2025). Exploiting modularity for co-modal passenger-freight transportation. Transportation Research Part B: Methodological, 196, 103217.
Zheng H., Zhang K., Nie Y.M., Yan P., and Qu Q. (2023). How many are too many? Analyzing dockless bikesharing systems with a parsimonious model. Transportation Science, 58(1), 152-175. [Poster]
Zheng H., Zhang K., and Nie Y.M. (2021). Plunge and rebound of a taxi market through COVID-19 lockdown: Lessons learned from Shenzhen, China. Transportation Research Part A: Policy and Practice, 150, 349-366. [Poster]
Chen X., Zheng H., Ke J., and Yang H. (2020). Dynamic optimization strategies for on-demand ride services platform: Surge pricing, commission rate, and incentives. Transportation Research Part B: Methodological, 138, 23-45.
Chen,X., Chen,X., Zheng,H., and Xiao,F.(2020).Efficient dispatching for on-demand ride services: Systematic optimization via Monte-Carlo tree search. Transportation Research Part C: Emerging Technologies, 127, 103156.
Zheng H., Chen X., and Chen X. (2019). How does on-demand ridesplitting influence vehicle use and purchase willingness? A case study in Hangzhou, China. IEEE Intelligent Transportation Systems Magazine, 11(3), 143-157.
Ke J., Yang H., Zheng H., Chen X., Jia Y., Gong P., and Ye J. (2018). Hexagon-based convolutional neural network for supply-demand forecasting of ride-sourcing services. IEEE Transactions on Intelligent Transportation Systems, 20(11), 4160-4173.
Chen X., Zheng H., Wang Z., and Chen X. (2018). Exploring impacts of on-demand ridesplitting on mobility via real-world ridesourcing data and questionnaires. Transportation, 1-21.
Ke J., Zheng H., Yang H., and Chen X. (2017). Short-term forecasting of passenger demand under On-demand ride services: A spatio-temporal deep learning approach. Transportation Research Part C: Emerging Technologies, 85, 591-608.
Chen X., Chen X., Zheng H. and Chen C. (2017). Understanding network travel time reliability with on-demand ride service data. Frontiers of Engineering Management, 4(4), 388-398.
Chen Y., Zhang H., Zhang Y., Li C., Yang Q., Zheng H., and Lv C. (2016). Mechanical energy harvesting from road pavements under vehicular load using embedded piezoelectric elements. Journal of Applied Mechanics, 83(8), 081001.
Zheng H., Chen X., and Chen X._ (2017) Random forests for freeway short-term traffic speed prediction. The 17th COTA International Conference of Transportation Professionals, Shanghai, China, July 7-9, 2017.