Dr. Fangni Zhang

Dr. Fangni Zhang

Assistant Professor,
Industrial and Manufacturing Systems Engineering,
University of Hong Kong

Summary

Dr. Fangni Zhang is an Assistant Professor at the Department of Industrial and Manufacturing Systems Engineering at The University of Hong Kong. Prior to joining HKU, she held faculty positions at University of New South Wales and University of Leeds, and worked at Imperial College London as a Research Associate. Dr. Fangni Zhang’s research covers a wide range of fundamental and emerging issues in transportation, including multimodal transportation system modelling and optimization, shared and automated transport management, high-speed rail and air transportation modeling. Her research has been published in world-leading journals and conferences in the field (e.g., Transportation Science, Transportation Research Part A/B/C/D/E and ISTTT). Dr. Zhang’s research has been supported by the Research Grants Council (RGC) of Hong Kong SAR and the National Natural Science Foundation of China (NSFC).

Affiliations

  • Assistant Professor, Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong (HKU-IMSE website)
  • Fellow, Institute of Transport Studies, The University of Hong Kong (HKU-ITS website)
  • Adjunct Lecturer (by courtesy), School of Aviation, University of New South Wales, Sydney (UNSW-Aviation website)

Research interests

  • Shared transport and logistics systems
  • Autonomous vehicle/UAV systems
  • Transport network modeling and optimization
  • Transport/urban data analytics
  • Transport economics

PhD, Postdoc & Research Assistant positions

  • I am looking for 1-2 self-motivated Ph.D. students to join my research group. Applicants should have a B.S. or M.S. in Industrial Engineering, Transportation Engineering, Economics, Operations Research, Mathematics, and Computer Science or related fields. Strong oral and written communication skills in English are required. Candidates with research experience in network modeling, optimization and game theory are preferred.

  • Successful applicants will be considered eligible to receive a Postgraduate Scholarship (the 2023 rate: HK$18,390/month) during the normative study period. Outstanding applicants for the Ph.D. programme are strongly encouraged to apply for the Hong Kong PhD Fellowship (HKPF) scheme, which offers an annual stipend of HK$27,600/month plus a conference and research-related travel allowance of HK$13,800/year. HKU will provide HKPF awardees additional living allowance (HK$20-40k/year) and accommodation support. To learn more about the HKU Ph.D. programme and scholarships, visit HKU Graduate School website.

  • Postdoc, Research Assistant, and visiting research positions are also available. If your research background fits my research interests, please send me your CV including your education qualifications and list of publications.

  • Please contact Dr. Fangni Zhang directly at fnzhang.at.hku.hk

Research students

  • Qingyang Li (from Southeast University, 2023- )
  • Dongze Li (from University of Illinois Urbana-Champaign, 2022- )
  • Wenbo Sun (from Beihang University, 2021- )
  • Zhenwei Gong (from University of Hong Kong, 2021- )
  • Zhuoye Zhang (from Shanghai Jiao Tong University, 2020- )
  • Jie Lin (from Shanghai Jiao Tong University, 2020- )
  • Mingyou Ma (as co-supervisor @UNSW, 2019-2023)
  • Runqing Zhao (as co-supervisor @UNSW, 2019-2021)

Selected Publications

  • Lin, J., Zhang, F. (2024) Modular vehicle-based transit system for passenger and freight co-modal transportation. Transportation Research Part C: Emerging Technologies, 160, 104545.

  • Sun, W., Zhang, F., Liu, W., He, Q. (2023) Optimal control of connected autonomous vehicles in a mixed traffic corridor. IEEE Transactions on Intelligent Transportation Systems, in press.

  • Ma, M.,Zhang, F., Liu, W., Dixit, V. (2023) On urban co-modality: Non-cooperative and cooperative games among freight forwarder, carrier and transit operator. Transportation Research Part C: Emerging Technologies, 153, 104234.

  • Zhang, Z., Liu, W., Zhang, F. (2023) On the joint network equilibrium of parking and travel choices under mixed traffic of shared and private autonomous vehicles. Transportation Research Part C: Emerging Technologies, 153, 104226.

  • Gong, Z., Zhang, F., Liu, W., Graham, D. (2023) On the effects of airport capacity expansion under responsive airlines and elastic passenger demand. Transportation Research Part B: Methodological, 170, 48-76.

  • Zhang, Z.,Zhang, F. (2022) Ride-pooling services with differentiated pooling sizes under endogenous congestion effect. Transportation Research Part C: Emerging Technologies, 144, 103883.

  • Zhang, F., Lindsey, R., Yang, H., Shao, C., Liu, W. (2022) Two-sided pricing strategies for a parking sharing platform: reselling or commissioning? Transportation Research Part B: Methodological, 163, 40-63.

  • Liu, W., Zhang, F., Wang, X., Shao, C., Yang, H. (2022) Unlock the sharing economy: the case of the parking sector for recurrent commuting trips. Transportation Science, 56(2), 265-564.

  • Ma, M., Zhang, F., Liu, W., Dixit, V. (2022) A game theoretical analysis of metro-integrated city logistics systems. Transportation Research Part B: Methodological, 156, 14-27.

  • Wu, W., Liu, Y., Liu, W., Zhang, F., Dixit, V., Waller, S.T. (2022) Autonomous intersection management for connected and automated vehicles: a lane-based approach. IEEE Transactions on Intelligent Transportation Systems, 23(9), 15091-15106.

  • Zhang, F., Liu, W. (2021) An economic analysis of integrating bike sharing service with metro systems. Transportation Research Part D: Transport and Environment, 99, 103008.

  • Liu, W., Zhang, F., Yang, H. (2021) Modeling and managing the joint equilibrium of destination and parking choices under a hybrid supply of curbside and shared parking. Transportation Research Part C: Emerging Technologies, 130, 103301.

  • Li, S., Zhou, Y., Kundu, T., Zhang, F. (2021) Impact of entry restriction policies on international air transport connectivity during COVID-19 pandemic. Transportation Research Part E: Logistics and Transportation Review, 152, 102411.

  • Zhang, F., Liu, W., Wang, X., Yang, H. (2020) Parking sharing problem with spatially distributed parking supplies. Transportation Research Part C: Emerging Technologies, 117, 102676.

  • Zhang, F., Graham, D.J. (2020) Air transport and economic growth: A review of the impact mechanism and causal relationships. Transport Reviews, 40(4), 506-528.

  • Zhang, F., Liu, W. (2020) Responsive bus dispatching strategy in a multi-modal and multi-directional transportation system: a doubly dynamical approach. Transportation Research Part C: Emerging Technologies, 113, 21-37.

  • Zhang, F., Yang, Z., Jiao, J., Liu, W., Wu, W. (2020) The effects of high-speed rail development on regional equity in China. Transportation Research Part A: Policy and Practice, 141, 180-202.

  • Wu, W., Zhang, F., Liu, W., Lodewijks, G. (2020) Modelling the traffic in a mixed network with autonomous-driving expressways and non-autonomous local streets. Transportation Research Part E: Logistics and Transportation Review, 134, 101855.

  • Wu, W., Wang, M., Zhang, F. (2019) Commuting Behavior and Congestion Satisfaction: Evidence from Beijing, China. Transportation Research Part D: Transport and Environment, 67, 553-564.

  • Zhang, F., Graham, D.J., Wong, M. (2018) Quantifying the substitutability and complementarity between high-speed rail and air transport. Transportation Research Part A: Policy and Practice, 118, 191-215.

  • Zhang, F., Zheng, N., Yang, H., Geroliminis, N. (2018) A systematic analysis of multimodal transport systems with road space distribution and responsive bus service. Transportation Research Part C: Emerging Technologies, 96, 208-230.

  • Liu, W., Li, X, Zhang, F., Yang, H. (2017) Interactive travel choices and traffic forecast in a doubly dynamical system with user inertia and information provision. Transportation Research Part C: Emerging Technologies, 85, 711-731.

  • Liu, W., Zhang, F., Yang, H. (2017) Modeling and managing morning commute with both household and individual travels. Transportation Research Part B: Methodological, 103, 227-247.

  • Zhang, F., Liu, W., Wang, X., Yang, H. (2017) A new look at the morning commute with household shared-ride: How does school location play a role? Transportation Research Part E: Logistics and Transportation Review, 103, 198-217.

  • Zhang, F., Lindsey, R. and Yang, H. (2016) The Downs–Thomson paradox with imperfect mode substitutes and alternative transit administration regimes. Transportation Research Part B: Methodological, 86, 104-127.

  • Zhang, F., Yang, H., Liu, W. (2014) The Downs-Thomson Paradox with responsive transit service. Transportation Research Part A: Policy and Practice, 70, 244-263.