| Risk preference and adoption of autonomous vehicles S Wang, J Zhao Transportation research part A: policy and practice 126, 215-229, 2019 | 117 | 2019 |
| 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 | 71* | 2020 |
| 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 | 61 | 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 | 59* | 2022 |
| 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 | 30 | 2020 |
| 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 | 29 | 2021 |
| 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 | 26* | 2021 |
| 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 | 20 | 2021 |
| 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 | 20 | 2021 |
| 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 | 19 | 2017 |
| 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 | 17 | 2022 |
| 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 | 17 | 2021 |
| 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 | 16 | 2019 |
| 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 | 12 | 2021 |
| Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks Q Wang, S Wang, D Zhuang, H Koutsopoulos, J Zhao arXiv preprint arXiv:2303.04040, 2023 | 5 | 2023 |
| 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 | 5 | 2021 |
| 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 | 1 | 2023 |
| 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 | 1 | 2022 |
| Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning Y Sun, W Hu, D Zhou, B Mo, K Fu, Z Che, Z Wang, S Wang, J Zhao, J Ye, ... IEEE Transactions on Intelligent Transportation Systems 23 (12), 23231-23243, 2022 | 1 | 2022 |
| Choice modelling in the age of machine learning [arXiv] S van Cranenburgh, S Wang, A Vij, F Pereira, J Walker | 1 | 2021 |
Jinhua ZhaoDepartment of Urban Studies and Planning, MIT在 mit.edu 的电子邮件经过验证
