Dr. Jing Gao

Dr. Jing Gao

Ph.D. graduate at HKUST

Publications

You can also find my articles on my Google Scholar profile.

Journal

  1. Gao, J., & Li, S. (2024). Synergizing shared micromobility and public transit towards an equitable multimodal transportation network. Transportation Research Part A: Policy and Practice, 189, 104225.
  2. Gao, J., & Li, S. (2024). Regulating for-hire autonomous vehicles for an equitable multimodal transportation network. Transportation Research Part B: Methodological, 183, 102925.
  3. Ao, D., Gao, J., Lai, Z., & Li, S. (2024). Regulating transportation network companies with a mixture of autonomous vehicles and for-hire human drivers. Transportation research part A: policy and practice, 180, 103975.
  4. Liu, Z. J., Lu, Q. L., & Gao, J. (2024). A similarity-based data-driven car-following model considering driver heterogeneity. Transportation Research Procedia, 78, 611-618.
  5. Gao, J., & Li, S. (2024). Charging autonomous electric vehicle fleet for mobility-on-demand services: Plug in or swap out?. Transportation Research Part C: Emerging Technologies, 158, 104457.
  6. Gao, J., Li, S., & Yang, H. (2022). Shared parking for ride-sourcing platforms to reduce cruising traffic. Transportation Research Part C: Emerging Technologies, 137, 103562.
  7. Gao, J., Sun, L., & Cai, M. (2019). Quantifying privacy vulnerability of individual mobility traces: A case study of license plate recognition data. Transportation research part C: emerging technologies, 104, 78-94.

Conference Proccedings

  1. Gao, J., & Li, S. (2024). Evaluating the equity impacts of shared micromobility in multimodal transportation networks. In 103rd Transportation Research Board Annual Meeting.
  2. Gao, J., & Li, S. (2022). Charging infrastructure planning for electrified autonomous mobility-on-demand systems under evolving charging technologies. In 26th International Conference of Hong Kong Society for Transportation Studies.
  3. Gao, J., Lu, Q. L., & Cai, M. (2020). Quantifying privacy vulnerability under linkage attack across multi-source individual mobility data. In 99th Transportation Research Board Annual Meeting.
  4. Xiong, C., Chen, H., Cai, M., & Gao, J. (2019, July). A Vehicle Trajectory Adversary Model Based on VLPR Data. In 5th International Conference on Transportation Information and Safety (ICTIS) (pp. 903-912). IEEE.
  5. Gao, J., Sun, L. J., & Cai, M. (2019). Measuring privacy vulnerability of individual mobility traces: a case study of license plate recognition data. In 98th Transportation Research Board Annual Meeting.