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Selected ​Journal Articles

• Yu, J., & Hyland, M. F. (2025). Interpretable State-Space Model of Urban Dynamics for Human-Machine Collaborative Transportation Planning. Transportation Research Part B: Methodological, 192, 103134.

• Yu, J., Zhao, J., Miranda-Moreno, L., & Korp, M. (2025). Modular AI agents for transportation surveys and interviews: Advancing engagement, transparency, and cost efficiency. Communications in Transportation Research, 5, 100172. 

• Ding, J., Yu, J., & Bansal, P. (2025). Preferences for electric vehicles under uncertain charging prices: An eye-tracking study. Transportation Research Part D: Transport and Environment, 140, 104608.

• Wu, H., Jiao, Y., Jiang, C., Wang, T., & Yu, J. (2025). Fatigue state evaluation of urban railway transit drivers using psychological, biological, and physical response signals. IEEE Access.

• Yu, J. & McKinley, G. (2024). Synthetic Participatory Planning of Shared Automated Electric Mobility Systems. Sustainability. 16, no. 13: 5618. 

• Wang, Z., Yu, J., Fu, X., & Chen, A. (2024). Subsidy policies towards zero-emission bus fleets: A systematic technical-economic analysis. Transport Policy.

• Yu, J., & Hyland, M. F. (2023). Coordinated Flow Model for Strategic Planning of Autonomous Mobility-on-Demand Systems. Transportmetrica A: Transport Science, 1-39. 

• Wang, Z., Yu, J., Li, G., Zhuge, C., & Chen, A. (2023). Time for Hydrogen Buses? Dynamic Analysis of the Hong Kong Bus Market. Transportation Research Part D: Transport and Environment, 115, 103602.

• Yu, J. (2022). An Elementary Mechanism for Simultaneously Modeling Discrete Decisions and Decision Times. System Dynamics Review. 

• Yu, J., & Chen, A. (2021) Differentiating and Modeling the Installation and the Usage of Autonomous Vehicle Technologies: A System Dynamics Approach for Policy Impact Studies. Transportation Research Part C: Emerging Technologies. 127, 103089.

• ​Yu, J., Selby, B., Vlahos, N., Yadav, V., & Lemp, J. (2021). A Feature-Oriented Vehicle Trajectory Data Processing Scheme for Data Mining: A Case Study for Statewide Truck Parking Behaviors. Transportation Research Interdisciplinary Perspectives, 11, 100401.

• Ryu, S., Chen, A., Su, J., & Liu, X., Yu, J. (2021). Considering Space Syntax in Bicycle Traffic Assignment with One or More User Classes. Sustainability, 13(19), 11078.

• Yu, J., & Hyland, M. F. (2020). A Generalized Diffusion Model for Preference and Response Time: Application to Ordering Mobility-on-Demand Services. Transportation Research Part C: Emerging Technologies, 121, 102854.

• Yu, J. & Jayakrishnan, R. (2019). Quantifying Traveler Information Provision in Dynamic Heterogeneous Traffic Networks. Transportation Planning and Technology, Vol. 42, No. 4. 339-354.

• Yu, J. & Jayakrishnan, R. (2018). A Quantum Cognition Model for Bridging Stated and Revealed Preference. Transportation Research Part B: Methodological, 118, 263-280.

• Nam, D., Yang, D., An, S., Yu, J., Jayakrishnan, R., & Masoud, N. (2018). Designing a Transit-Feeder System using Multiple Sustainable Modes: Peer-to-Peer (P2P) Ridesharing, Bike Sharing, and Walking. Transportation Research Record: Journal of the Transportation Research Board, 2672(8), 754-763.

• Yu, J. & Jayakrishnan, R. (2017). Multiclass, Multicriteria Dynamic Traffic Assignment with Path-Dependent Link Cost and Entropy-Based Risk Preference. Transportation Research Record: Journal of the Transportation Research Board, 2667(1), 108-118.

• Masoud, N., Nam, D., Yu, J., & Jayakrishnan, R. (2017). Promoting Peer-to-Peer Ridesharing Services as Transit System Feeders. Transportation Research Record: Journal of the Transportation Research Board, 2650(1), 74-83.​​​

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Selected Conference Articles and Preprints

• Yu, J., Zhao, J., Miranda-Moreno L., & Korp, M. (2024) Modular Conversational Agents for Surveys and Interviews. 

• Yu, J. & Korp, M. (2024). On-Demand Mobility Services for Urban Resilience: A Review Towards Synergistic Design, Development, and Disaster Response. arXiv:2403.03107. 

• Yu, J., Hyland, M. F., & Chen, A. (2023). Improving Infrastructure and Community Resilience with Shared Autonomous Electric Vehicles (SAEV-R). 2023 IEEE Intelligent Vehicles Symposium (IV). 

• Yu, J. & Jayakrishnan, R. (2018). A Cognitive Framework for Unifying Human and Artificial Intelligence in Transportation Systems Modeling. IEEE International Conference on Intelligent Transportation Systems (pp. 3767-3772).

• Yu, J., Yang, D., Nam, D., An, S., Jayakrishnan, R. (2018). An Implementation-Ready Approach for Multiple-Van Multi-Criteria Dynamic Demand Rebalancing at Bike-Share Stations. Transportation Research Board 97th Annual Meeting. Location: Washington DC, United States

• Yu., J. & Jayakrishnan, R. (2016). An Information-Based Framework for Incorporating Uncertainty in
  Transportation Modeling. 2016 Transportation Research Board (TRB) Annual Meeting (Washington, DC, USA).

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Selected Reports

• Ghaffar, A., Yu, J., & Hyland, M. F. (2024). Using Shared Autonomous Electric Vehicles to Enhance Transit Resilience. University of California, Irvine

• Yu, J., Bahk, Y., & Hyland, M. F. (2023). Modeling and Analyzing Cost Overruns, Delays, and Cancellations in Senate Bill 1 Projects. University of California, Irvine​​