Shunhua Bai is a Ph.D. student in the Community and Regional Planning (CRP) program at the University of Texas at Austin with a concentration in transportation planning and urban informatics. He is now a graduate research assistant in the Urban Information Laboratory (UIL) using Geographic Information Science (GIS) and emerging data-driven techniques to study urban transportation systems.
Prior to attending UT Austin, Mr. Bai acquired his Bachelor's degree in Geographic Information Science (GIS) at the School of Geography, Beijing Normal University in China and his Master's degree in Urban and Regional Planning (MURP) at the Humphrey School of Public Affairs, University of Minnesota - Twin Cities in the US. In his professional experience at the Humphrey School, he concentrated on promoting public transit service via spatial and statistical modeling and analysis. His graduation report identified critical policy and planning issues regarding the relationship between local transportation network companies(Uber, Lyft, etc.) and transit services, based on which he and his colleagues provided recommendations for local transit agencies in the Twin Cities area.
- Ph.D. Student in Community and Regional Planning program (ongoing), School of Architecture, the University of Texas at Austin, USA.
- Master of Science in Statistics (ongoing), Department of Statistics and Data Sciences, The University of Texas at Austin, USA
- Master of Urban and Regional Planning, Humphrey School of Public Affairs (2018), the University of Minnesota - Twin Cities, USA.
- Bachelor of Science in Geography Information Science (2016), School of Geography, Beijing Normal University, China.
1. Bai, S., Jiao, J., Chen, Y., Guo, J., (2021). The Relationship Between E-scooter Travels and Daily Leisure Activities in Austin, Texas. Transportation Research Part D.
2. Bai, S., & Jiao, J. (2021). Using Deep Learning to Understand Travel Demands in Different Urban Districts. Transportation Research Record: Journal of Transportation Research Board, 1–12. https://doi.org/10.1177/0361198121994582.
3. Bai, S., & Jiao, J. (2020). From shared micro-mobility to shared responsibility: Using crowdsourcing to understand dockless vehicle violations in Austin, Texas. Journal of Urban Affairs, 1–13. https://doi.org/10.1080/07352166.2020.1798244.
4. Bai, S., & Jiao, J. (2020). Dockless E-scooter usage patterns and urban built Environments: A comparison study of Austin, TX, and Minneapolis, MN. Travel Behaviour and Society, 20, 264–272. https://doi.org/10.1016/j.tbs.2020.04.005.
5. Jiao, J., & Bai, S. (2020). Understanding the Shared E-scooter Travels in Austin, TX. International Journal of Geo-Information, 9(2), 135–147. https://doi.org/10.3390/ijgi9020135.
6. Jiao, J., & Bai, S. (2020). An empirical analysis of Airbnb listings in forty American cities. Cities, 99, 102618. https://doi.org/10.1016/j.cities.2020.102618.
7. Jiao, J., & Bai, S. (2020). Cities reshaped by Airbnb: A case study in New York City, Chicago, and Los Angeles. Environment and Planning A: Economy and Space, 52(1), 10–13. https://doi.org/10.1177/0308518X19853275.
8. Xie, Y., Zhao, B., Zhao, Y., Luo, Q., Wang, S., Zhao, B., & Bai, S. (2017). Reduction in population exposure to PM 2.5 and cancer risk due to PM 2.5 -bound PAHs exposure in Beijing, China during the APEC meeting. Environmental Pollution, 225, 338–345. https://doi.org/10.1016/j.envpol.2017.02.059.
- Urban Informatics
- Urban Big Data
- Smart Cities