Found 158 results
Filters: Author is Jinhua Zhao [Clear All Filters]
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.
Gender, Social Interaction, and Mobility Sharing. In: Transportation Research Board 98th Annual Meeting. Washington, D.C.; 2019.
Home-work Carpooling for Social Mixing. Transportation. 2019.
Predictive decision support for real-time crowding prediction and information generation. In: Transportation Research Board 98th Annual Meeting. Washington, D.C.; 2019.
Public Perceptions of Autonomous Vehicle Safety: An International Comparison. Safety Science. 2019.
A Randomized Controlled Trial in Travel Demand Management. Transportation. 2019:1-26.
Rider-To-Rider Discriminatory Attitudes and Ridesharing Behavior. Transportation Research Part F. 2019.
Risk Preference and Adoption of Autonomous Vehicles. Transportation Research Part A. 2019.
Is There a Way? Is There a Will? Legal, bureaucratic and political aspects of Automated Vehicles Regulation in Toronto, Canada. In: Transportation Research Board 98th Annual Meeting. Washington, D.C.; 2019.
Transportation Policy Profiles of Chinese City Clusters: A Mixed Method Approach. Transportation Research Interdisciplinary Perspectives. 2019.
Transportation Policymaking in Beijing and Shanghai: Contributors, Obstacles, and Process. Case Studies on Transport Policy. 2019.