Biblio
Found 260 results
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.
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.
Expanding access to the city : how public transit fare policy shapes travel decision making and behavior of low-income riders. Vol PhD.; 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.
Parking futures: An international review of trends and speculation. Land Use Policy. 2020;91:104054.
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.
Unexpected Bus Operator Absence and Extraboard Scheduling – MBTA Case Study. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 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.