Dr. J.T. KE

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
  • CIVL1116 Introduction to Urban Development
  • CIVL3140 Artificial Intelligence in Civil Engineering
  • CIVL7018 Data Science for Civil Engineering
  • CIVL7019 Statistical Methods for Civil Engineering
  • GEOG7012 Transport Field Trip
  • ENGG1320 Engineers in The Modern World
  • CIVL4101 Capstone Design Project
  • CIVL4102 Final Year Project (BEng, Core)
  • CIVL7009 Dissertation (M.Sc., Core)

 

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
  • A Planning Scheme of Commercial Electric Vehicle Chargers for Promoting Green Transport in Hong Kong, Public Policy Research Funding Scheme (PPR) 2024-2025, 25 July 2024 – 24 July 2025
  • Modelling, simulation, and operational strategy designs for on-demand food delivery services, RGC Early Career Scheme (ECS), Principal investigator,
    1 Jan 2024 – 31 Dec 2026
  • Estimating carbon emissions, assessing decarbonization strategies and managing green transportation in Hong Kong with a multifunctional simulation platform, Environment Conservation Fund (ECF), Principal investigator, March 2024 – Feb 2026
  • Management and optimization for ride-sourcing markets under a mix of autonomous vehicles and human drivers. Young Scientists Fund of the National Natural Science Foundation of China 2022, Principal Investigator, Jan 2023 – Dec 2025
  • Pareto efficient regulatory schemes for ride-sourcing markets, RGC General Research Fund, Principal investigator, Jan 2022 − Dec 2024

 

Professional Activities
  • Editorial Advisory Board Member, Travel Behavior and Society, 2024−Present
  • Guest Editor, a Special Issue of Transportmetrica B, “Sustainable and Smart Urban Mobility”, 2024-2025.
  • Editorial Advisory Board Member, Transportation Research Part E: Logistics and Transportation Review, Elsevier, 2022−Present.
  • Guest Editor, a Special Issue of Transportation Research Part C: Emerging technologies, “Emerging On-Demand Passenger and Logistics Systems: Modelling, Optimization, and Data Analytics”, 2022–2023.
  • Guest Editor, a Special Issue of Travel Behavior and Society, “Emerging Mobility Services”, 2022–2023.
  • Early Career Editorial Advisory Board, Transportation Research Part C: Emerging Technologies, Elsevier, 2021/04−Present.

 

Selected Representative Publications
  • Li, X., Yang, H., and Ke, J.* (2023). Booking cum rationing strategy for equitable travel demand management in road networks. Transportation Research Part B: Methodological, 167, 261−274.
  • Zhou, Y., Yang, H., Ke, J.*, Wang, H., and Li, X. (2022). Competition and third-party platform-integration in ride-sourcing markets. Transportation Research Part B: Methodological, 159, 76−103.
  • Ke, J., Yang, H., Chen, X.*, and Li, S. (2022). Coordinating supply and demand in ride-sourcing markets with pooling service and traffic congestion externality. Transportation Research Part E: Logistics and Transportation Review, 166, 102887.
  • 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.*, 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, 34(5), 2280−2292.
  • 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.
  • For more updated information on JT Ke’s publications, please visit: https://scholar.google.com/citations?user=8G--UccAAAAJ&hl=en

 

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