URBAN AI LAB

PUBLICATIONS

List of Selected Publications (2021-2024)

Infrequent activities predict economic outcomes in major American cities
Shenhao Wang*, Yunhan Zheng, Guang Wang, Takahiro Yabe, Esteban Moro, Alex ‘Sandy’ Pentland

Nature Cities [Link / PDF]

Year: 2024

* Corresponding Author

Effects of electric vehicle charging stations on the economic vitality of local businesses
Yunhan Zheng*, David R Keith, Shenhao Wang, Mi Diao, Jinhua Zhao

Nature Communications [Link / PDF]

Year: 2024

Impacts of remote work on vehicle miles traveled and transit ridership in the USA
Yunhan Zheng, Shenhao Wang*, Lun Liu, Jim Aloisi, Jinhua Zhao

Nature Cities [Link / PDF]

Year: 2024

Robust Transit Frequency Setting Problem With Demand Uncertainty
Xiaotong Guo, Baichuan Mo, Haris N Koutsopoulos, Shenhao Wang, Jinhua Zhao*

IEEE Transactions on Intelligent Transportation Systems [Link / PDF]

Year: 2024

Uncertainty quantification of spatiotemporal travel demand with probabilistic graph neural networks
Qingyi Wang, Shenhao Wang*, Dingyi Zhuang, Haris Koutsopoulos, Jinhua Zhao

IEEE Transactions on Intelligent Transportation Systems [Link / PDF]

Year: 2024

Deep hybrid model with satellite imagery: How to combine demand modeling and computer vision for travel behavior analysis?
Qingyi Wang, Shenhao Wang*, Yunhan Zheng, Hongzhou Lin, Xiaohu Zhang, Jinhua Zhao, Joan Walker

Transportation Research Part B: Methodological [Link / PDF]

Year: 2024

Cooperative bus holding and stop-skipping: A deep reinforcement learning framework
Joseph Rodriguez, Haris N Koutsopoulos*, Shenhao Wang, Jinhua Zhao

Transportation Research Part C: Emerging Technologies [Link / PDF]

Year: 2023

Machine learning approaches reveal highly heterogeneous air quality co-benefits of the energy transition
Da Zhang*, Qingyi Wang, Shaojie Song, Simiao Chen, Mingwei Li, Lu Shen, Siqi Zheng, Bofeng Cai, Shenhao Wang, Haotian Zheng

iScience [Link / PDF]

Year: 2023

Fairness-enhancing deep learning for ride-hailing demand prediction
Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Shenhao Wang*, Jinhua Zhao

IEEE Open Journal of Intelligent Transportation Systems [Link / PDF]

Year: 2023

Infectiousness of Places: Impact of Multiscale Human Activity Places in the Transmission of COVID-19
Lun Liu*, Hui Wang, Zhu Zhang, Weiyi Zhang, Shengsheng Zhuang, Shenhao Wang, Elisabete A Silva, Tingmiao Lv, Chi On Chio, Yifan Wang, Rina Dao, Chuchang Tang, On Ieng Ao-Ieong

npj Urban Sustainability [Link / PDF]

Year: 2022

Comparing modeling approaches for the estimation of government intervention effects in COVID-19: Impact of voluntary behavior changes
Lun Liu, Zhu Zhang, Hui Wang*, Shenhao Wang, Shengsheng Zhuang, Jishan Duan

PloS one [Link / PDF]

Year: 2023

Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
Dingyi Zhuang, Yuheng Bu, Guang Wang, Shenhao Wang, Jinhua Zhao

Neural Information Processing Systems (NeurIPS) Temporal Graph Learning Workshop 2023 [Link / PDF]

Year: 2023

Alleviating data sparsity problems in estimated time of arrival via auxiliary metric learning
Yiwen Sun, Wenzheng Hu, Donghua Zhou, Baichuan Mo, Kun Fu, Zhengping Che, Zheng Wang, Shenhao Wang, Jinhua Zhao, Jieping Ye, Jian Tang, Changshui Zhang*

IEEE Transactions on Intelligent Transportation Systems [Link / PDF]

Year: 2022

Uncertainty quantification of sparse travel demand prediction with spatial-temporal graph neural networks
Dingyi Zhuang, Shenhao Wang*, Haris Koutsopoulos, Jinhua Zhao

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining [Link / PDF]

Year: 2022

Choice modelling in the age of machine learning
Sander van Cranenburgh*, Shenhao Wang, Akshay Vij, Francisco Pereira, Joan Walker

Journal of Choice Modelling [Link / PDF]

Year: 2022

The relationship between ridehailing and public transit in Chicago: A comparison before and after COVID-19
Patrick Meredith-Karam, Hui Kong*, Shenhao Wang, Jinhua Zhao

Journal of Transport Geography [Link / PDF]

Year: 2021

Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
Yunhan Zheng, Shenhao Wang*, Jinhua Zhao

Transportation Research Part C: Emerging Technologies [Link / PDF]

Year: 2021

Deep neural networks for choice analysis: A statistical learning theory perspective
Shenhao Wang, Qingyi Wang, Nate Bailey, Jinhua Zhao*

Transportation Research Part B: Methodological [Link / PDF]

Year: 2021

Measuring policy leakage of Beijing’s car ownership restriction
Yunhan Zheng, Joanna Moody, Shenhao Wang, Jinhua Zhao*

Transportation Research Part A: Policy and Practice [Link / PDF]

Year: 2021

What prompts the adoption of car restriction policies among Chinese cities
Shenhao Wang, Joanna Moody, Jinhua Zhao*

International journal of sustainable transportation [Link / PDF]

Year: 2021

Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks
Shenhao Wang*, Baichuan Mo, Jinhua Zhao

Transportation research part B: methodological [Link / PDF]

Year: 2021

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