副教授

张岑

时间:2025/04/24
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张岑       副教授

研究方向:

  1. 公共交通

  2. 共享出行

科研项目:

  1. 供给约束条件下公交运行时空协同优化 国家自然科学基金面上项目

  2. 农村客货邮融合发展融合模式及可行性分析 上海市高层次人才项目

  3. Tourists’ Flow Patterns Identification and Information Provision for Safe Evacuation

  4. 日本学术振兴会(JSP)国际合作项目

  5. Analysis of Shared Electric-Vehicle Demand in Toyota and Tokyo 日本丰田企业项目

期刊论文:

  1. Zhang, C., Schmöcker, JD*. & Trépanier, M (2024). Carsharing adoption dynamics considering service type and area expansions with insights from a Montreal case study,Transportation Research Part C: Emerging Technologies,167, 104810. (SCI, Q1, IF 9.6)

  2. Yun, M.P., Huang, W.X. & Zhang, C* (2024).Quantitative Analysis of the Relationships between Dockless Bike Sharing and Public Transport: A Trip-level Perspective,Transportation Research Part A: Policy and Practice,190,104277. (SCI, Q1,IF 6.9)

  3. Zhang, C., Schmöcker, J. D*., Kuwahara, M., Nakamura, T., & Uno, N. (2020). A diffusion model for estimating adoption patterns of a one-way carsharing system in its initial years. Transportation Research Part A: Policy and Practice, 136, 135-150. (SCI, Q1, IF 6.9)

  4. Teng, J., Wu, T., &Zhang, C* (2024).Exploring heterogeneity in preferences for Mobility as a Service: An Airport Ground Access Case in Qingdao, China, Travel Behaviour and Society. (SCI, Q1,  IF 5.5)

  5. Zhang, C., Schmöcker, JD*. & Trépanier, M (2022). Latent stage model for carsharing usage frequency estimation with Montréal case study. Transportation, 49, 185–211. (SCI, Q1, IF 4.3)

  6. Teng, J., Wang, H., Zhang, C*., & Liu, S. (2021). Evaluation of operating schemes on municipal rail transit with express/local mode. Transportation Research Record, 2675(12), 583-597.(SCI)

  7. Bo, K., Teng, J., Zhang, C*., & Han, D. (2021). Commuting in the Storm: Adaptation of Transit Riders and Measures for Transit Operator—A Case in Shanghai. Journal of Advanced Transportation, 2021(1), 6622461. (SCI)

  8. Teng, J., Pan, W., & Zhang, C*. (2020). Quantitative modeling of congestion in metro station based on passenger time perceptions. Transportation Research Record, 2674(5), 270-281.(SCI)

  9. Zhang, C., & Schmöcker, J. D*. (2019). A Markovian model of user adaptation with case study of a shared bicycle scheme. Transportmetrica B: transport dynamics, 7(1), 223-236. (SCI, Q2)

会议论文:

  1. Teng, J., Wu, T., &Zhang, C*. (2024). User Preferences and Design Strategies for Customized Feeder Transit Access to Large Transportation Hubs: Insights from Shanghai.104th TRB Annual Meeting, Washington DC, USA.

  2. Teng, J., Wu, T., &Zhang, C*. (2023). Exploring heterogeneity in preferences for Mobility as a Service: An Airport Ground Access Case. 103th TRB Annual Meeting, Washington DC, USA.

  3. Zhang, S., Zhang, C*., & Lo, H. K. (2019). Optimal substitute bus service routing for metro disruption management, the 24th International Conference of Hong Kong Society for Transportation Studies, Hong Kong, China.

  4. Zhang, C., Trépanier, M., & Schmoecker, J. D*. (2019). Stochastic process based life-cycle modelling for user behavior changes. 98th TRB Annual Meeting, Washington DC, USA.

  5. Zhang, C., & Schmöcker, J. D*. (2017). Modelling User Adaptation to a Campus Bicycle Share System. 96th TRB Annual Meeting, Washington DC, USA.

  6. Zhang, C., Schmöcker, J.D *. (2016), Modeling adaption to a new transport mode: Case study of Kyoto University’s bicycle share system, Spring Conference of Committee of Infrastructure Planning and Management, Hokkaido, Japan.



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