Assistant Professor (Transportation Engineering)
Dr. J.T. KE

BEng, Zhejiang University, China
PhD, The Hong Kong University of Science & Technology, China

Office: HW 6-05
Phone: +852 2857 8556
Fax: +852 2559 5337
E-mail: kejintao@hku.hk
Homepage: https://sites.google.com/view/kejintao

Teaching Activities CIVL2006 Soil mechanics To be assigned soon

Research Interests Urban Computing & Smart Cities
Machine Learning and Data Mining for Intelligent Transportation Systems
Spatio-Temporal Traffic Pattern Analysis/Prediction
Transport Economics
Smart Mobility Services (Ride-Sharing, Ride-Sourcing, Last-Mile Delivery)
Land-Use and Transportation Problem

Representative Research / Consultancy Projects Pareto efficient regulatory schemes for ride-sourcing markets, General Research Fund, RGC, project code: HKU **, HK$911,317, Principal investigator, Jan 2022?Dec 2024.

Professional Activities Early Career Editorial Advisory Board, Transportation Research Part C: Emerging Technologies, Elsevier, 2021/04?Present

Selected Representative Publications Zhou Y., Yang H., Ke J.*, Wang H., and Li X. (2021). Competition and third-party platform-integration in ride-sourcing markets. Transportation Research Part B: Methodological, in press.
Zhu, Z., Ke, J.*, and Wang, H. (2021). A mean-field Markov decision process model for spatial-temporal subsidies in ride-sourcing markets. Transportation Research Part B: Methodological, 150, 540-565. (ISTTT24 Special Issue)
Ke J., Zhu Z.*, Yang H., and He Q. (2021). Equilibrium analyses and operational designs of a coupled market with substitutive and complementary ride-sourcing services to public transits. Transportation Research Part E: Logistics and Transportation Review, 148, 102236.
Ke J., Zheng Z.*, Yang H., and Ye J. (2021). Data-driven analysis of matching probability, routing distance and detour distance in on-demand ride-pooling services. Transportation Research Part C: Emerging Technologies, 124, 102922.
Ke J.*, Yang H., and Zheng Z. (2020). On ride-pooling and traffic congestion. Transportation Research Part B: Methodological, 142, 213-231.
Ke J., Yang H., Li X., Wang H.*, and Ye J. (2020). Pricing and equilibrium in on-demand ride-pooling markets. Transportation Research Part B: Methodological, 139, 411-431.
Ke J., Xiao F.*, Yang H., and Ye J. (2020). Learning to delay in ride-sourcing systems: a multi-agent deep reinforcement learning framework. IEEE Transactions on Knowledge and Data Engineering, in press, doi: 10.1109/TKDE.2020.**.
Yang H., Qin X., Ke J.*, and Ye J. (2020). Optimizing matching time interval and matching radius in on-demand ride-sourcing markets. Transportation Research Part B: Methodological, 131, 84-105.
Ke J., Yang H., Zheng H., Chen X.*, Jia Y., Gong P., and Ye J. (2019). Hexagon-based convolutional neural network for supply-demand forecasting of ride-sourcing services. IEEE Transactions on Intelligent Transportation Systems, 20(11), 4160-4173.
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.

Others For more information of Dr. J.T. Ke, please visit https://sites.google.com/view/kejintao.