David Block-Schachter, Jinhua Zhao, Yu Shen. Ghosts in the Machine: The Influence of Historical Rail on Current Auto Ownership.; Submitted.

Baichuan Mo, Cao Z, Hongmou Zhang, Yu Shen, Jinhua Zhao. Competition between Shared Autonomous Vehicles and Public Transit: A Case Study in Singapore. Transportation Research Part C. 2021.

Joanna Moody, Jinhua Zhao. Adoption of Exclusive and Pooled TNC Services in Singapore and the U.S. ASCE Journal of Transportation Engineering, Part A: Systems. 2020;146(9).

Joanna Moody, Jinhua Zhao. Adoption of Exclusive and Pooled TNC Services in Singapore and the U.S.. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.

Yonah Freemark, Anne Hudson, Jinhua Zhao. Aptitudes for Regulating Autonomous Vehicles: A Survey of Municipal Officials. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.

Peyman Noursalehi, Haris Koutsopoulos, Jinhua Zhao. Automated Information Extraction From Textual Data: Application In Transit Disruption Management. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.

Jeffrey Laurence Rosenblum, Jinhua Zhao, Arcaya M, Steil J. Behavioral Response to Discounted Fares for Low-income Transit Riders in Boston. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.

Apaar Bansal, Jinhua Zhao. Bundled Mobility Passes in Chicago: Consumer Preference and Revenue Implications. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.

Baichuan Mo, Zhenliang Ma, Haris Koutsopoulos, Jinhua Zhao. Capacity-Constrained Network Performance Model for Urban Rail Systems. Transportation Research Record. 2020.

Shenhao Wang, Baichuan Mo, Jinhua Zhao. Deep Neural Networks for Choice Analysis: Architecture Design with Alternative-Specific Utility Functions. Transportation Research Part C. 2020.

Shenhao Wang, Qingyi Wang, Jinhua Zhao. Deep Neural Networks for Choice Analysis: Extracting Complete Economic Information for Interpretation. Transportation Research Part C: Emerging Technologies. 2020.

Zhan Zhao, Haris Koutsopoulos, Jinhua Zhao. Discovering Latent Activity Patterns from Transit Smart Card Data: A Spatiotemporal Topic Model. Transportation Research Part C. 2020.

Peyman Noursalehi, Haris N. Koutsopoulos, Jinhua Zhao. Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-resolution Spatio-Temporal Deep Learning Approach. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. 2020.

Kondor D, Xiaohu Zhang, Meghjani M, Paolo Santi, Jinhua Zhao, Carlo Ratti. Estimating the Potential for Shared Autonomous Scooters. IEEE Transactions on Intelligent Transportation Systems. 2020.

Xuenan Ni, Joanna Moody, Jinhua Zhao. How does public support of transportation policies vary across countries?. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.

Hui Kong, Xiaohu Zhang, Jinhua Zhao. How does Ridesourcing Substitute for Public Transit? A geospatial perspective in Chengdu, China. Journal of Transport Geography. 2020.

Hui Kong, Joanna Moody, Jinhua Zhao. ICT’s Impacts on Ride-hailing Use and Individual Travel. Transportation Research Part A. 2020.

Baichuan Mo, Wang QY, Yu Shen, Jinhua Zhao. Latent Attitudes of Existing Travel Modes on Autonomous Vehicle Adoption. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.

Peyman Noursalehi, Koutsopoulos HN, Jinhua Zhao. Machine-learning-augmented analysis of textual data: application in transit disruption management. IEEE Open Journal of Intelligent Transportation Systems. 2020.

Yunhan Zheng, Joanna Moody, Shenhao Wang, Jinhua Zhao. Measuring Policy Leakage of Beijing's Car Ownership Restriction in Neighboring Cities. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.

Baichuan Mo, Feng K, Yu Shen, Tam C, Li D, Yin Y, et al. Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network. Transportation Research Part C. 2020.

Shenhao Wang, Qingyi Wang, Jinhua Zhao. Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data. Journal of Choice Modelling. 2020.

Yonah Freemark, Anne Hudson, Jinhua Zhao. Policies for autonomy: How American cities envision regulating automated vehicles. Urban Science. 2020.

Shenhao Wang, Baichuan Mo, Jinhua Zhao. Predicting Travel Mode Choice with 86 Machine Learning Classifiers: An Empirical Benchmark Study. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.

Martelli F., Renda M. Elena, Jinhua Zhao. The Price of Privacy Control in Mobility Sharing. Journal of Urban Technology. 2020.