Shenhao Wang
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
182019
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
9*2020
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
62017
Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective
S Wang, J Zhao
arXiv preprint arXiv:1810.10465, 2018
5*2018
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
42020
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
42019
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
32020
What prompts the adoption of car restriction policies among Chinese cities
S Wang, J Moody, J Zhao
International Journal of Sustainable Transportation, 1-12, 2020
12020
Divergent Trajectories of Urban Development in 287 Chinese Cities
S Wang, J Zhao
OSF Preprints, 2018
12018
Superficial Fairness of Transport Policies: Beijing’s Car License Lottery
J Zhao, S Wang
transportation 51, 2011, 2012
12012
Automobile regulations in China examined from a behavioral perspective
S Wang
Massachusetts Institute of Technology, 2017
2017
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Articles 1–11