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Fairness-enhancing deep learning for ride-hailing demand prediction,
Yunhan Zheng, Qingyi Wang, Zhuang Dingyi, Shenhao Wang, and Jinhua Zhao
, IEEE Open Journal of Intelligent Transportation Systems , 07/2023, Volume 4, (2023)
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Estimating coastal flood damage costs to transit infrastructure under future sea level rise,
Martello, Michael V., and Whittle Andrew J.
, Communications Earth & Environment, Jan-12-2023, Volume 4, Issue 137, (2023)
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Examining the interactions between working from home, travel behavior and change in car ownership due to the impact of COVID-19,
Yunhan Zheng, Caros Nicholas S., Aloisi Jim, and Jinhua Zhao
, Travel Behaviour and Society, 10/2023, Volume 33, (2023)
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Evaluating the travel impacts of a shared mobility system for remote workers,
Caros, Nicholas S., and Jinhua Zhao
, Transportation Research Part D, (2023)
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Reconstructing Transit Vehicle Trajectory Using High-Resolution GPS Data,
Huang, Yuzhu, Abdelhalim Awad, Anson Stewart, Jinhua Zhao, and Haris Koutsopoulos
, 2023 IEEE 26th International Conference on Intelligent Transportation Systems, 09/2023, Bilbao, Spain, (2023)
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Predicting drivers’ route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network,
Mo, Baichuan, Wang Qingyi, Guo Xiaotong, Winkenbach Matthias, and Zhao Jinhua
, Transportation Research Part E: Logistics and Transportation Review, 05/2023, Volume 175, Issue 103168, (2023)
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Can Mobility of Care be Identified from Transit Fare Card Data? A Case Study in Washington D.C.,
Shuman, Daniela, Abdelhalim Awad, Stewart Anson F., Campbell Kayleigh, Patel Mira, de Madariaga Ines Sanchez, and Jinhua Zhao
, Findings, 05/2023, (2023)
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ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks,
Wang, Zepu, Zhuang Dingyi, Li Yankai, Jinhua Zhao, Sun Peng, Shenhao Wang, and Hu Yulin
, 2023 IEEE 26th International Conference on Intelligent Transportation Systems, Bilbao, Bizkaia, Spain, (2023)
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Dissolving the Segmentation of a Shared Mobility Market: A Framework and Four Market Structure Designs,
Xiaotong Guo, Qu Ao, Hongmou Zhang, Peyman Noursalehi, and Jinhua Zhao
, Transportation Research Part C: Emerging Technologies, Volume 157, (2023)
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Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty,
Baichuan Mo, Haris N. Koutsopoulos, Shen Zuo-Jun Max, and Jinhua Zhao
, Transportation Research Part B: Methodological, (2023)
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SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks,
Zhuang, Dingyi, Bu Yuheng, Wang Guang, Shenhao Wang, and Jinhua Zhao
, Temporal Graph Learning Workshop @ NeurIPS 2023, 11/2023, (2023)
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Depth‐damage curves for rail rapid transit infrastructure,
Martello, Michael V., Whittle Andrew J., and Lyons-Galante Hannah R.
, Journal of Flood Risk Management, Jan-03-2023, Volume 1637, Issue 12, (2023)
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Understanding multi-homing and switching by platform drivers,
Xiaotong Guo, Haupt Andreas, Wang Hai, Qadri Rida, and Jinhua Zhao
, Transportation Research Part C: Emerging Technologies, 09/2023, Volume 154, (2023)
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Impacts of congestion pricing on ride-hailing ridership: Evidence from Chicago,
Yunhan Zheng, Meredith-Karam Patrick, Anson Stewart, Hui Kong, and Jinhua Zhao
, Transportation Research Part A: Policy and Practice, (2023)
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Cooperative Bus Holding and Stop-skipping: A Deep Reinforcement Learning Framework,
Rodriguez, Joseph, Haris N. Koutsopoulos, Shenhao Wang, and Jinhua Zhao
, Transportation Research Part C: Emerging Technologies, 10/2023, Volume 155, (2023)
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Discount Rate Selection for Investments in Climate Change Adaptation and Flood Risk Reduction Projects,
Martello, Michael V., and Whittle Andrew J.
, Journal of Management in Engineering, Jan-07-2023, Volume 3960, Issue 43, (2023)
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Train following model for urban rail transit performance analysis,
Saidi, Saeid, Haris N. Koutsopoulos, Wilson Nigel H. M., and Jinhua Zhao
, Transportation Research Part C: Emerging Technologies, Volume 148, (2023)
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