| Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach J Ke, H Zheng, H Yang, XM Chen Transportation research part C: Emerging technologies 85, 591-608, 2017 | 813 | 2017 |
| Hexagon-based convolutional neural network for supply-demand forecasting of ride-sourcing services J Ke, H Yang, H Zheng, X Chen, Y Jia, P Gong, J Ye IEEE Transactions on Intelligent Transportation Systems 20 (11), 4160-4173, 2018 | 179 | 2018 |
| Exploring impacts of on-demand ridesplitting on mobility via real-world ridesourcing data and questionnaires X Chen, H Zheng, Z Wang, X Chen Transportation 48, 1541-1561, 2021 | 116 | 2021 |
| Dynamic optimization strategies for on-demand ride services platform: Surge pricing, commission rate, and incentives XM Chen, H Zheng, J Ke, H Yang Transportation Research Part B: Methodological 138, 23-45, 2020 | 115 | 2020 |
| Mechanical energy harvesting from road pavements under vehicular load using embedded piezoelectric elements Y Chen, H Zhang, Y Zhang, C Li, Q Yang, H Zheng, C Lü Journal of Applied Mechanics 83 (8), 081001, 2016 | 66 | 2016 |
| How does on-demand ridesplitting influence vehicle use and purchase willingness? A case study in Hangzhou, China H Zheng, X Chen, XM Chen IEEE Intelligent Transportation Systems Magazine 11 (3), 143-157, 2019 | 47 | 2019 |
| Plunge and rebound of a taxi market through COVID-19 lockdown: Lessons learned from Shenzhen, China H Zheng, K Zhang, YM Nie Transportation Research Part A: Policy and Practice 150, 349-366, 2021 | 33 | 2021 |
| Efficient dispatching for on-demand ride services: Systematic optimization via Monte-Carlo tree search XM Chen, X Chen, H Zheng, F Xiao Transportation Research Part C: Emerging Technologies 127, 103156, 2021 | 26 | 2021 |
| Understanding network travel time reliability with on-demand ride service data XM Chen, X Chen, H Zheng, C Chen Frontiers of Engineering Management 4 (4), 388-398, 2017 | 26 | 2017 |
| How Many Are Too Many? Analyzing Dockless Bike-Sharing Systems with a Parsimonious Model H Zheng, K Zhang, Y Nie, P Yan, Y Qu Transportation Science 58 (1), 152-175, 2024 | 7 | 2024 |
| How does on-demand ridesplitting influence vehicle use and ownership? A case study in Hangzhou, China H Zheng, X Chen, XM Chen 97th Annual Meeting of the Transportation Research Board, Washington, DC …, 2018 | 6 | 2018 |
| The fall and rise of the taxi industry in the COVID-19 pandemic: a case study H Zheng, K Zhang, YM Nie Available at SSRN 3674241, 2020 | 5 | 2020 |
| Random forests for freeway short-term traffic speed prediction H Zheng, X Chen, XM Chen 17th COTA International Conference of Transportation Professionals, 2017 | 1 | 2017 |
| Exploiting Modularity for Co-Modal Passenger-Freight Transportation H Zheng, J Li, J Lin, M Nie Available at SSRN 4963867, 2024 | | 2024 |
| Is Fare Free Transit Just? Quantifying the Impact of Moral Principles on Transit Design and Finance T Dai, H Zheng, M Nie Available at SSRN 4847502, 2024 | | 2024 |
| Design and Regulation of Shared Mobility Service Systems H Zheng Northwestern University, 2024 | | 2024 |
| Does Dockless Bikesharing Create a Competition for Losers? H Zheng, K Zhang, M Nie Available at SSRN 4613247, 2023 | | 2023 |
| Exploring On-Demand Ridesplitting Behavior and Impact on Mobility: a Case Study in Hangzhou, China X Chen, H Zheng, Z Wang, XM Chen Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | | 2018 |
| A spatio-termporal deep learning approach for short-term prediction of passenger demand J Ke, H Zheng, H Yang, X Chen Transport and Society-Proceeding of the 22nd International Conference of …, 2017 | | 2017 |
