|
Travel Behavior as a Driver of Attitude: Car Use and Car Pride in U.S. Cities,
Joanna Moody, and Jinhua Zhao
, Transportation Research Part F: Traffic Psychology and Behaviour, (2020)
|
|
Deep Neural Networks for Choice Analysis: Architecture Design with Alternative-Specific Utility Functions,
Shenhao Wang, Baichuan Mo, and Jinhua Zhao
, Transportation Research Part C, (2020)
|
|
Estimating the Potential for Shared Autonomous Scooters,
Kondor, Dániel, Xiaohu Zhang, Meghjani Malika, Paolo Santi, Jinhua Zhao, and Carlo Ratti
, IEEE Transactions on Intelligent Transportation Systems, (2020)
|
|
Is Ridesourcing More Efficient than Taxis?,
Hui Kong, Xiaohu Zhang, and Jinhua Zhao
, Applied Geography, (2020)
|
|
Deep Neural Networks for Choice Analysis: Extracting Complete Economic Information for Interpretation,
Shenhao Wang, Qingyi Wang, and Jinhua Zhao
, Transportation Research Part C: Emerging Technologies, (2020)
|
|
Machine-learning-augmented analysis of textual data: application in transit disruption management,
Peyman Noursalehi, Koutsopoulos Haris N., and Jinhua Zhao
, IEEE Open Journal of Intelligent Transportation Systems, (2020)
|
|
Discovering Latent Activity Patterns from Transit Smart Card Data: A Spatiotemporal Topic Model,
Zhan Zhao, Haris Koutsopoulos, and Jinhua Zhao
, Transportation Research Part C, (2020)
|
|
Adoption of Exclusive and Pooled TNC Services in Singapore and the U.S.,
Joanna Moody, and Jinhua Zhao
, ASCE Journal of Transportation Engineering, Part A: Systems, Volume 146, Issue 9, (2020)
|
|
Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network,
Baichuan Mo, Feng Kairui, Yu Shen, Tam Clarence, Li Daqing, Yin Yafeng, and Jinhua Zhao
, Transportation Research Part C, (2020)
|
|
The Price of Privacy Control in Mobility Sharing,
Martelli, F., Renda M. Elena, and Jinhua Zhao
, Journal of Urban Technology, (2020)
|
|
Policies for autonomy: How American cities envision regulating automated vehicles,
Yonah Freemark, Anne Hudson, and Jinhua Zhao
, Urban Science, (2020)
|
|
Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data,
Shenhao Wang, Qingyi Wang, and Jinhua Zhao
, Journal of Choice Modelling, (2020)
|
|
How does Ridesourcing Substitute for Public Transit? A geospatial perspective in Chengdu, China,
Hui Kong, Xiaohu Zhang, and Jinhua Zhao
, Journal of Transport Geography, (2020)
|
|
ICT’s Impacts on Ride-hailing Use and Individual Travel,
Hui Kong, Joanna Moody, and Jinhua Zhao
, Transportation Research Part A, (2020)
|
|
Capacity-Constrained Network Performance Model for Urban Rail Systems,
Baichuan Mo, Zhenliang Ma, Haris Koutsopoulos, and Jinhua Zhao
, Transportation Research Record, (2020)
|
|
Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-resolution Spatio-Temporal Deep Learning Approach,
Peyman Noursalehi, Haris N. Koutsopoulos, and Jinhua Zhao
, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, (2020)
|
|
What prompts the adoption of car restriction policies among Chinese cities,
Shenhao Wang, Joanna Moody, and Jinhua Zhao
, International Journal of Sustainable Transportation, (2020)
|
