Prof. Lei Zhang

Department of Civil and Environmental Engineering

University of Maryland, USA

Email: [email protected]

Qualifications

Ph.D., University of Minnesota–Twin Cities, USA

M.S., University of Minnesota–Twin Cities, USA

M.S., University of Minnesota–Twin Cities, USA

B.S., Tsinghua University, China

Publications (Selected)

1. Sun, Q., Zhou, W., Kabiri, A., Darzi, A., Hu, S., Younes, H., & Zhang, L. (2023). COVID‐19 and income profile: How communities in the United States responded to mobility restrictions in the pandemic's early stages. Regional Science Policy & Practice, 15(3), 541-559.
2. Yang, M., Pan, Y., Darzi, A., Ghader, S., Xiong, C., & Zhang, L. (2022). A data-driven travel mode share estimation framework based on mobile device location data. Transportation, 49(5), 1339-1383.
3. Xiao, Y., Yang, M., Zhu, Z., Yang, H., Zhang, L., & Ghader, S. (2021). Modeling indoor-level non-pharmaceutical interventions during the COVID-19 pandemic: A pedestrian dynamics-based microscopic simulation approach. Transport policy, 109, 12-23.
4. Sun, Y., Chen, Z. L., & Zhang, L. (2020). Nonprofit peer-to-peer ridesharing optimization. Transportation Research Part E: Logistics and Transportation Review, 142, 102053.
5. Xiong, C., Yang, D., Ma, J., Chen, X., & Zhang, L. (2020). Measuring and enhancing the transferability of hidden Markov models for dynamic travel behavioral analysis. Transportation, 47(2), 585-605.
6. Nasri, A., Carrion, C., Zhang, L., & Baghaei, B. (2020). Using propensity score matching technique to address self-selection in transit-oriented development (TOD) areas. Transportation, 47(1), 359-371.
7. Zhang, L., Ghader, S., Darzi, A., Pan, Y., Yang, M., Sun, Q., ... & Zhao, G. (2020). Data analytics and modeling methods for tracking and predicting origin-destination travel trends based on mobile device data. Federal Highway Administration Exploratory Advanced Research Program.
8. Zhang, L., Lu, Y., Ghader, S., Carrion, C., Asadabadi, A., & Yang, D. (2020). Person-based micro-simulation demand model for national long-distance travel in the USA. Transportation Research Record, 2674(6), 297-309.
9. Zhu, Z., Tang, L., Xiong, C., Chen, X. M., & Zhang, L. (2019). The conditional probability of travel speed and its application to short-term prediction. Transportmetrica B: Transport Dynamics.
10. Ghader, S., Darzi, A., & Zhang, L. (2019). Modeling effects of travel time reliability on mode choice using cumulative prospect theory. Transportation Research Part C: Emerging Technologies, 108, 245-254.
11. Nasri, A., Zhang, L., Fan, J., Stewart, K., Younes, H., Fu, C., & Jessberger, S. (2019). Advanced vehicle miles traveled estimation methods for non-federal aid system roadways using GPS vehicle trajectory data and statistical power analysis. Transportation research record, 2673(11), 296-308.
12. Nasri, A., & Zhang, L. (2019). Multi-level urban form and commuting mode share in rail station areas across the United States; a seemingly unrelated regression approach. Transport Policy, 81, 311-319.
13. Lee, M., Xiong, C., Zhu, Z., Zhou, W., & Zhang, L. (2019). Analyzing simulation-based active traffic management impact on a large-scale regional network. Transportation Research Record, 2673(8), 638-647.
14. Fan, J., Fu, C., Stewart, K., & Zhang, L. (2019). Using big GPS trajectory data analytics for vehicle miles traveled estimation. Transportation research part C: emerging technologies, 103, 298-307.
15. Krause, C. M., & Zhang, L. (2019). Short-term travel behavior prediction with GPS, land use, and point of interest data. Transportation Research Part B: Methodological, 123, 349-361.

Profile Details

http://www.citsm.umd.edu/people/show_profile.php?pname=Lei%20Zhang

https://scholar.google.com/citations?user=hpiq-2MAAAAJ&hl=en