Published in IEEE Transactions on Intelligent Transportation Systems, 2022
Recommended citation: Y. Sun, W. Hu, D. Zhou, B. Mo, K. Fu, Z. Che, Z. Wang, S. Wang, J. Zhao, J. Ye, J. Tang, C. Zhang* (2022). "Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning." IEEE Transactions on Intelligent Transportation Systems
Published in Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2022
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Recommended citation: D. Zhuang, S. Wang*, H. Koutsopoulos, and J. Zhao. (2022). "Uncertainty quantification of sparse trip demand prediction with spatial-temporal graph neural networks" Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Published in Journal of Choice Modeling, 2022
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Recommended citation: S. Cranenburgh*, S. Wang, A. Vij, F. Pereira, and J. Walker. (2022). "Choice modeling in an age of machine learning – discussion paper." Journal of Choice Modeling. 100340.
Published in Journal of Transport Geography, 2021
Recommended citation: H. Kong, P. Meredith-Karam, S. Wang, J. Zhao*. (2021). "The relationship between transportation network companies and public transit in Chicago: a comparison before and after COVID-19 shutdowns." Journal of Transport Geography. 97: 103219.
Published in Transportation Research Part C: Emerging Technologies, 2021
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Recommended citation: Y. Zheng, S. Wang*, and J. Zhao. (2021). "Equality of opportunity in travel demand prediction with deep neural networks and discrete choice models" Transportation Research Part C: Emerging Technologies. 132: 103410.
Published in Transportation Research Part A: Policy and Practice, 2021
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ResearchGate
Recommended citation: Y. Zheng, J. Moody, S. Wang, and J. Zhao*. (2021). "Measuring policy leakage of Beijing’s car ownership restriction" Transportation Research Part A: Policy and Practice. 148: 223-236.
Published in Transportation Research Part B: Methodological, 2021
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ResearchGate
Recommended citation: S. Wang, Q. Wang, N. Bailey, and J. Zhao*. (2021). "Deep neural networks for choice analysis: A statistical learning theory perspective" Transportation Research Part B: Methodological. 148: 60-81.
Published in Transportation Research Part B: Methodological, 2021
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Recommended citation: S. Wang*, B. Mo, and J. Zhao. (2021). "Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks." Transportation Research Part B: Methodological. 146: 333-358.
Published in Transportation Research Part C: Emerging Technologies, 2021
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Recommended citation: S. Wang, B. Mo, and J. Zhao*. (2020). "Deep neural network for choice analysis: Architecture design with alternative-specific utility functions." Transportation Research Part C: Emerging Technologies. 112, 234-251.
Published in Journal of Choice Modelling, 2020
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Recommended citation: S. Wang*, Q. Wang and J. Zhao. (2020). "Multitask learning deep neural networks to combine revealed and stated preference data." Journal of Choice Modelling. 100236 .
Published in Transportation research part C: emerging technologies, 2020
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Recommended citation: S. Wang, Q. Wang and J. Zhao*. (2020). "Deep neural networks for choice analysis: Extracting complete economic information for interpretation." Transportation research part C: emerging technologies,. 118: 102701.
Published in International Journal of Sustainable Transportation, 2020
Recommended citation: S. Wang, J. Moody, and J. Zhao*. "What prompts the adoption of car restriction policies among Chinese cities." International Journal of Sustainable Transportation. 1-12.
Published in Transportation Research Interdisciplinary Perspectives, 2019
Recommended citation: J. Moody, S. Wang, J. Chun, X. Li and J. Zhao*. (2019). "Transportation policy profiles of Chinese city clusters: A mixed methods approach." Transportation Research Interdisciplinary Perspectives. 2, 100053.
Published in Transportation Research Part A: Policy and Practice, 2019
Recommended citation: S. Wang and J. Zhao*. (2019). "Risk preference and adoption of autonomous vehicles." Transportation Research Part A: Policy and Practice. 126, 215-229.
Published in Transportation Research Part A: Policy and Practice, 2017
Recommended citation: S. Wang and J. Zhao*. (2021). "The distributional effects of lotteries and auctions – License plate regulations in Guangzhou." Transportation Research Part A: Policy and Practice. 106, 473-483.