Biblio

Found 228 results
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.
Rosenblum J. Expanding access to the city : how public transit fare policy shapes travel decision making and behavior of low-income riders. Vol PhD.; 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.
Hui Kong, Xiaohu Zhang, Jinhua Zhao. Is Ridesourcing More Efficient than Taxis? Applied Geography. 2020.
Joanna Moody, Jinhua Zhao. Travel Behavior as a Driver of Attitude: Car Use and Car Pride in U.S. Cities. Transportation Research Part F: Traffic Psychology and Behaviour. 2020.
Qingyi Wang, Haris Koutsopoulos, Nigel Wilson. Unexpected Bus Operator Absence and Extraboard Scheduling – MBTA Case Study. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.
Shenhao Wang, Joanna Moody, Jinhua Zhao. What prompts the adoption of car restriction policies among Chinese cities. International Journal of Sustainable Transportation. 2020.

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