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Shenhao Wang
Shenhao Wang
University of Florida; Massachusetts Institute of Technology
Verified email at ufl.edu - Homepage
Title
Cited by
Cited by
Year
Risk preference and adoption of autonomous vehicles
S Wang, J Zhao
Transportation research part A: policy and practice 126, 215-229, 2019
1352019
Deep neural networks for choice analysis: Extracting complete economic information for interpretation
S Wang, Q Wang, J Zhao
Transportation Research Part C: Emerging Technologies 118, 102701, 2020
92*2020
Choice modelling in the age of machine learning-Discussion paper
S van Cranenburgh, S Wang, A Vij, F Pereira, J Walker
Journal of Choice Modelling 42, 100340, 2022
91*2022
Deep neural networks for choice analysis: Architecture design with alternative-specific utility functions
S Wang, B Mo, J Zhao
Transportation Research Part C: Emerging Technologies 112, 234-251, 2020
792020
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark
S Wang, B Mo, S Hess, J Zhao
arXiv preprint arXiv:2102.01130, 2021
412021
Deep neural networks for choice analysis: A statistical learning theory perspective
S Wang, Q Wang, N Bailey, J Zhao
Transportation Research Part B: Methodological 148, 60-81, 2021
36*2021
Multitask learning deep neural networks to combine revealed and stated preference data
S Wang, Q Wang, J Zhao
Journal of choice modelling 37, 100236, 2020
322020
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks
S Wang, B Mo, J Zhao
Transportation research part B: methodological 146, 333-358, 2021
312021
Uncertainty quantification of sparse travel demand prediction with spatial-temporal graph neural networks
D Zhuang, S Wang, H Koutsopoulos, J Zhao
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
292022
The relationship between ridehailing and public transit in Chicago: A comparison before and after COVID-19
P Meredith-Karam, H Kong, S Wang, J Zhao
Journal of Transport Geography 97, 103219, 2021
252021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
Y Zheng, S Wang, J Zhao
Transportation Research Part C: Emerging Technologies 132, 103410, 2021
232021
The distributional effects of lotteries and auctions—License plate regulations in Guangzhou
S Wang, J Zhao
Transportation Research Part A: Policy and Practice 106, 473-483, 2017
222017
Transportation policy profiles of Chinese city clusters: A mixed methods approach
J Moody, S Wang, J Chun, X Ni, J Zhao
Transportation Research Interdisciplinary Perspectives 2, 100053, 2019
192019
Measuring policy leakage of Beijing’s car ownership restriction
Y Zheng, J Moody, S Wang, J Zhao
Transportation Research Part A: Policy and Practice 148, 223-236, 2021
182021
Uncertainty quantification of spatiotemporal travel demand with probabilistic graph neural networks
Q Wang, S Wang, D Zhuang, H Koutsopoulos, J Zhao
IEEE Transactions on Intelligent Transportation Systems, 2024
102024
Spatiotemporal graph neural networks with uncertainty quantification for traffic incident risk prediction
X Gao, X Jiang, D Zhuang, H Chen, S Wang, J Haworth
arXiv preprint arXiv:2309.05072, 2023
62023
What prompts the adoption of car restriction policies among Chinese cities
S Wang, J Moody, J Zhao
International journal of sustainable transportation 15 (7), 559-570, 2021
62021
Fairness-enhancing deep learning for ride-hailing demand prediction
Y Zheng, Q Wang, D Zhuang, S Wang, J Zhao
IEEE Open Journal of Intelligent Transportation Systems, 2023
42023
Comparing modelling approaches for the estimation of government intervention effects in COVID-19: Impact of voluntary behavior changes
L Liu, Z Zhang, H Wang, S Wang, S Zhuang, J Duan
Plos one 18 (2), e0276906, 2023
32023
Infectiousness of Places: Impact of Multiscale Human Activity Places in the Transmission of COVID-19
L Liu, H Wang, Z Zhang, W Zhang, S Zhuang, S Wang, EA Silva, T Lv, ...
npj Urban Sustainability 2, 28, 2022
32022
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