1. 供给约束条件下公交运行时空协同优化,国家自然科学基金项目，2024-2027

2. 农村客货邮融合发展融合模式及可行性分析,中央高校基本科研业务费专项, 2024-2025

3.面向城市新兴出行服务的服务方案优化方法，中央高校基本科研业务费专项, 2023-2024

4.新兴交通服务需求演化，中央高校基本科研业务费专项, 2022-2023

5. 综合立体交通多网融合战略调研, 国家自然科学基金战略咨询项目，2022-2024

6. Tourists’ Flow Patterns Identification and Information Provision for Safe Evacuation,日本学术振兴会（JSP）国际合作资助项目，2019–2022

7. Modelling for Dual-mode Carsharing Demand,京都-蒙特利尔大学合作项目，2017–2021                                                       

8. Analysis of Shared Electric-Vehicle Demand in Toyota and Tokyo，日本丰田公司资助项目，2016–2020

9.延误条件下大客流主动引导服务策略研究，上海申通地铁集团有限公司资助项目，2019–2020

10.市域快慢车及越行运营组织研究，广州地铁设计研究院股份有限公司资助项目，2020–2021

1.学术论文

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)

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)

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)

Teng, J., Wu, T., &Zhang, C* (2025).Exploring heterogeneity in preferences for Mobility as a Service: An Airport Ground Access Case in Qingdao, China, Travel Behaviour and Society. 1-14.(SCI, Q1,  IF 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)

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)

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)

Yun, M., Zhan, J., Zhang, C*., & Yang, S. (2024). Key Characteristics of Multimodal Public Transport Across the Entire Commuting Process: Quantitative Evidence from Shanghai. Journal of Advanced Transportation, 2024(1), 2344587.(SCI)

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)

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)

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.

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.

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.

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.

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

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 

Zhang, C, Teng, J.* , and Yang X.G.(2013). Estimating bus travel speed under information collection environment [C]. The Fourth International Conference on Transportation Engineering. 2013.（EI）

Zhang, C, Teng, J.* , and Yang X.G.(2013). Bus Dwell Time Estimation and Prediction: A Study Case in Shanghai‐China [C], The 13th COTA International Conference of Transportation Professionals. （EI）

2. 学术会议重要报告

(1) A Hybrid Approach for Reconstructing Tourist Travel Chains from Sparse Positioning Data: Case Study in Kyoto City. The 3rd International Symposium on Cities and Sustainable Transportation.Xi’an,China, 2025.07.

(2) User Preferences and Design Strategies for Customized Feeder Transit Access to Large Transportation Hubs: Insights from Shanghai. Transportation Research Board Annual Meeting, Washington D.C., US, 2024.01

(3) Exploring heterogeneity in preferences for Mobility as a Service: An Airport Ground Access Case. Transportation Research Board Annual Meeting, Washington D.C., US, 2023.01

(4) Stochastic process based life-cycle modelling for user behavior changes. Transportation Research Board Annual Meeting, Washington D.C., US, 2019.01

(5) Optimal substitute bus service routing for metro disruption management. The 24th International Conference of Hong Kong Society for Transportation Studies, Hong Kong, China，2019.12

(6) Modelling User Adaptation to a Campus Bicycle Share System. Transportation Research Board Annual Meeting, Washington D.C., US, 2017.01

(7) 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, 2019.03

(8)Estimating bus travel speed under information collection environment. The Fourth International Conference on Transportation Engineering, Chengdu, China, 2013.10.

(9)Bus Dwell Time Estimation and Prediction: A Study Case in Shanghai‐China, The 13th COTA International Conference of Transportation Professionals, Shenzhen, China, 2013.08.