Publications

These works provide an overview of my research.

( * indicates the corresponding author.)

Transportation Economics and Policy

Zheng, Y.*, Keith, D., Wang, S., Mi, D. & Zhao, J. Effects of electric vehicle charging stations on the economic vitality of local businesses. (2024). Nature Communications, 15, 7437. [Paper] [The Washington Post] [CBC News] [MIT News]
Zheng, Y., Wang, S.*, Liu, L., Aloisi, J. & Zhao, J. (2024). Impacts of remote work on vehicle miles traveled and transit ridership in the United States. Nature Cities, 1, 346–358. [Paper] [MIT News]
Wang, S.¹*, Zheng, Y.¹, Wang, G., Yabe, T., Moro, E.* & Pentland, A. (2024). Infrequent activities predict economic outcomes in major American cities. Nature Cities, 1(4), 305-314. [Paper] ( ¹ indicates the co-first authors.)
Zheng, Y.*, Meredith-Karam, P., Stewart, A., Kong, H., & Zhao, J. (2023). Impacts of congestion pricing on ride-hailing ridership: Evidence from Chicago. Transportation Research Part A: Policy and Practice, 170, 103639. [Paper]
Zheng, Y., Moody, J., Wang, S., & Zhao, J*. (2021). Measuring policy leakage of Beijing’s car ownership restriction. Transportation Research Part A: Policy and Practice, 148, 223-236. [Paper] [MIT News]
Yang, M., Zheng, Y.*, Wang, S., Guo, X., & Zhao, J. (2025). Impacts of the built environment on remote work choices and preferences. Cities, 170, 103639. [Paper]
Fang, W., Zheng, Y., Diao, M., & Zhao, J. (2021). Dispersion of agglomeration through high-speed rail in China. In Urban Form and Accessibility (pp. 327-357). Elsevier. [Paper]

Zheng, Y., Wang, S.*, & Zhao, J. (2021). Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models. Transportation Research Part C: Emerging Technologies, 132, 103410. [Paper]
Zheng, Y., Wang, Q., Zhuang, D., Wang, S.*, & Zhao, J. (2023). Fairness-enhancing deep learning for ride-hailing demand prediction. IEEE Open Journal of Intelligent Transportation Systems, 4, 551 - 569. [Paper]
Mo, B., Zheng, Y.*, Guo, X., Ma, R., & Zhao, J. (2025). Robust binary and multinomial logit models for classification with data uncertainties. European Journal of Operational Research. [Paper]
Guo, X., Xu, H., Zhuang, D., Zheng, Y.*, & Zhao, J. (2023). Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System. Under review in Transportation Research Part C: Emerging Technologies. [Paper]

Zheng, Y., Kong, H.*, Petzhold, G., Barcelos, M. M., Zegras, C. P., & Zhao, J. (2021). User satisfaction and service quality improvement priority of bus rapid transit in Belo Horizonte, Brazil. Case Studies on Transport Policy, 9 (4), 1900-1911. [Paper]
Zheng, Y., Kong, H.*, Petzhold, G., Barcelos, M. M., Zegras, C. P., & Zhao, J. (2022). Gender differences in the user satisfaction and service quality improvement priority of public transit bus system in Porto Alegre and Fortaleza, Brazil. Travel Behaviour and Society, 28, 22-37. [Paper]
Zheng, Y.*, Caros, N. S., Aloisi, J., & Zhao, J. (2023). Examining the interactions between working from home, travel behavior and change in car ownership due to the impact of COVID-19. Travel Behaviour and Society, 33, 100634. [Paper]
Wang, Q., Wang, S.*, Zheng, Y., Lin, H., Zhang, X., Zhao, J., & Walker, J. (2024). Deep hybrid model with satellite imagery: How to combine demand modeling and computer vision for travel behavior analysis?. Transportation Research Part B: Methodological, 179, 102869. [Paper]
Wang, S.*, Mo, B., Zheng, Y., Hess, S., & Zhao, J. (2024). Comparing hundreds of machine learning and discrete choice models for travel demand modeling: An empirical benchmark. Transportation Research Part B: Methodological, 190, 103061. [Paper]