Biblio Author: Jinhua Zhao

2023
Train following model for urban rail transit performance analysis
Transportation Research Part C: Emerging Technologies
,

Volume

148
,

2023
2023
Examining the interactions between working from home, travel behavior and change in car ownership due to the impact of COVID-19
Travel Behaviour and Society
,

Volume

33
,

2023
2024
Modeling virus transmission risks in commuting with emerging mobility services: A case study of COVID-19
Travel Behaviour and Society
,

Volume

34
,

2024
2023
Can Mobility of Care be Identified from Transit Fare Card Data? A Case Study in Washington D.C.
Findings
,

2023
2023
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
Temporal Graph Learning Workshop @ NeurIPS 2023
,

2023
2023
Cooperative Bus Holding and Stop-skipping: A Deep Reinforcement Learning Framework
Transportation Research Part C: Emerging Technologies
,

Volume

155
,

2023
2023
Fairness-enhancing deep learning for ride-hailing demand prediction
IEEE Open Journal of Intelligent Transportation Systems
,

Volume

4
,

2023
2024
MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model
Transportation Research Record
,

2024
2024
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for travel behavior analysis?
Transportation Research Part B
,

Volume

179
,

2024
2023
Dissolving the Segmentation of a Shared Mobility Market: A Framework and Four Market Structure Designs
Transportation Research Part C: Emerging Technologies
,

Volume

157
,

2023

Train following model for urban rail transit performance analysis
Transportation Research Part C: Emerging Technologies
,

Volume

148
,

2023
Examining the interactions between working from home, travel behavior and change in car ownership due to the impact of COVID-19
Travel Behaviour and Society
,

Volume

33
,

2023
Modeling virus transmission risks in commuting with emerging mobility services: A case study of COVID-19
Travel Behaviour and Society
,

Volume

34
,

2024
Can Mobility of Care be Identified from Transit Fare Card Data? A Case Study in Washington D.C.
Findings
,

2023
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
Temporal Graph Learning Workshop @ NeurIPS 2023
,

2023
Cooperative Bus Holding and Stop-skipping: A Deep Reinforcement Learning Framework
Transportation Research Part C: Emerging Technologies
,

Volume

155
,

2023
Fairness-enhancing deep learning for ride-hailing demand prediction
IEEE Open Journal of Intelligent Transportation Systems
,

Volume

4
,

2023
MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model
Transportation Research Record
,

2024
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for travel behavior analysis?
Transportation Research Part B
,

Volume

179
,

2024
Dissolving the Segmentation of a Shared Mobility Market: A Framework and Four Market Structure Designs
Transportation Research Part C: Emerging Technologies
,

Volume

157
,

2023