Biblio
Found 168 results
Filters: Author is Jinhua Zhao [Clear All Filters]
Discovering Latent Activity Patterns from Transit Smart Card Data: A Spatiotemporal Topic Model. Transportation Research Part C. 2020.
Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-resolution Spatio-Temporal Deep Learning Approach. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. 2020.
Estimating the Potential for Shared Autonomous Scooters. IEEE Transactions on Intelligent Transportation Systems. 2020.
How does public support of transportation policies vary across countries?. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.
How does Ridesourcing Substitute for Public Transit? A geospatial perspective in Chengdu, China. Journal of Transport Geography. 2020.
ICT’s Impacts on Ride-hailing Use and Individual Travel. Transportation Research Part A. 2020.
Latent Attitudes of Existing Travel Modes on Autonomous Vehicle Adoption. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.
Machine-learning-augmented analysis of textual data: application in transit disruption management. IEEE Open Journal of Intelligent Transportation Systems. 2020.
Measuring Policy Leakage of Beijing's Car Ownership Restriction in Neighboring Cities. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.
Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network. Transportation Research Part C. 2020.
Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data. Journal of Choice Modelling. 2020.
Policies for autonomy: How American cities envision regulating automated vehicles. Urban Science. 2020.
Predicting Travel Mode Choice with 86 Machine Learning Classifiers: An Empirical Benchmark Study. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.
The Price of Privacy Control in Mobility Sharing. Journal of Urban Technology. 2020.
Is Ridesourcing More Efficient than Taxis? Applied Geography. 2020.
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.
What prompts the adoption of car restriction policies among Chinese cities. International Journal of Sustainable Transportation. 2020.
Are cities prepared for autonomous vehicles? Planning for technological change by U.S. local governments. Journal of the American Planning Association. 2019.
Association of Rider-to-Rider Discriminatory Attitudes and Ridesharing Behavior. In: Transportation Research Board 98th Annual Meeting. Washington, D.C.; 2019.
Built Environment and Autonomous Vehicles Mode Choice: A First Mile Scenario in Singapore. In: Transportation Research Board 98th Annual Meeting. Washington, D.C.; 2019.
Car Pride and its Bidirectional Relations with Car Ownership: Case Studies in New York City and Houston. Transportation Research Part A. 2019;124:334-353.
Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective. Working Paper. 2019.
Demand Management of Congested Public Transport Systems: A Conceptual Framework and Application Using Smart Card Data. Transportation. 2019.
Discriminatory Attitudes between Ridesharing Passengers. Transportation. 2019.
Evaluating Commuter Benefits Reforms at the Massachusetts Institute of Technology. In: Transportation Research Board 98th Annual Meeting. Washington, D.C.; 2019.