Biblio
Found 168 results
Filters: Author is Jinhua Zhao [Clear All Filters]
Data-driven Vehicle Rebalancing with Predictive Prescriptions in the Ride-hailing System. IEEE Open Journal of Intelligent Transportation Systems. 2022.
Inferring Passenger Responses to Urban Rail Disruptions Using Smart Card Data: A Probabilistic Framework. Transportation Research Part E. 2022.
Comparison of Door-to-Door Transit Travel Time Estimation Using Schedules, Real-Time Vehicle Arrivals, and Smartcard Inference Methods. Transportation Research Record. 2021.
Competition between Shared Autonomous Vehicles and Public Transit: A Case Study in Singapore. Transportation Research Part C. 2021.
Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective. Transportation Research Part B. 2021.
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models. Transportation Research Part C. 2021.
E-scooter sharing to serve short-distance transit trips: a Singapore Case. Transportation Research Part A. 2021.
The impact of social externality information on fostering sustainable travel mode choice: A behavioral experiment in Zhengzhou, China. Transportation Research Part A: Policy and Practice. 2021.
Impacts of subjective evaluations and inertia from use of existing travel modes on adoption of autonomous mobility-on-demand. Transportation Research Part C. 2021.
Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach. IEEE Transactions on Intelligent Transportation Systems. 2021.
Measuring policy leakage of Beijing’s car ownership restriction. Transportation Research Part A: Policy and Practice. 2021.
The Mobility Pattern of Dockless Bike Sharing: A Four-month Study in Singapore. Transportation Research Part D. 2021.
Predictive decision support platform and its application in crowding prediction and passenger information generation. Transportation Research Part C. 2021.
Robust Matching-Integrated Vehicle Rebalancing in Ride-hailing System with Uncertain Demand. Transportation Research Part B. 2021.
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks. Transportation Research Part B. 2021.
Adoption of Exclusive and Pooled TNC Services in Singapore and the U.S. ASCE Journal of Transportation Engineering, Part A: Systems. 2020;146(9).
Adoption of Exclusive and Pooled TNC Services in Singapore and the U.S.. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.
Aptitudes for Regulating Autonomous Vehicles: A Survey of Municipal Officials. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.
Automated Information Extraction From Textual Data: Application In Transit Disruption Management. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.
Behavioral Response to Discounted Fares for Low-income Transit Riders in Boston. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.
Bundled Mobility Passes in Chicago: Consumer Preference and Revenue Implications. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.
Capacity-Constrained Network Performance Model for Urban Rail Systems. Transportation Research Record. 2020.
Deep Neural Networks for Choice Analysis: Architecture Design with Alternative-Specific Utility Functions. Transportation Research Part C. 2020.
Deep Neural Networks for Choice Analysis: Extracting Complete Economic Information for Interpretation. Transportation Research Part C: Emerging Technologies. 2020.