
- Senior Research Associate in Urban Mobility
- Email: xiao.li@ouce.ox.ac.uk
About
Xiao joined the TSU in September 2022 as a senior research associate in urban mobility. His research lies at the intersection of Geographic Information Science (GIS), Spatial Data Science, and Transport Geography.
Xiao received his Ph.D. degree in Geography (GIS Transport) from Texas A&M University (US) in 2019. Before joining TSU, he worked as an associate transportation researcher within the Mobility Analysis Program of the Texas A&M Transportation Institute for two years, where he has led and participated in multiple projects sponsored by USDOT, FHWA, TxDOT, University Transportation Centers (UTC). He was also an affiliated Kinder Scholar in the Kinder Institute for Urban Research at Rice University (2020-2022).
Xiao currently serves on the Transportation Research Board (TRB) Standing Committee on Geographic Information Science and leads the paper review work as the paper review coordinator. He is also a member of the Institute of Transportation Engineers (ITE) Data Committee and the Spatial Decision Support Consortium (SDSC).
Current Research
Xiao's primary research interests are in the development of geocomputational algorithms, applications, and tools to enhance transport safety, accessibility, and sustainability by integrating emerging geospatial data sources, theories, and computing technologies.
From the applied science perspective, his research explores the value of various emerging geographic data sources (e.g. smartphone data, connected vehicle data, street view images) in transport and urban research and generates innovative crowdsourcing solutions based on these data to solve different transport challenges.
From the social science perspective, his research interests include exploring the relationships between humans and transport systems and estimating the impacts of disruptive technologies (e.g. CAV) on socially different population groups and communities.
At the TSU, he will be exploring questions about road safety, the consequences of new technologies such as autonomous vehicles for transport systems, and social inequalities in everyday mobility.
Publications
Select publications are featured in the list below (see Google Scholar for full overview):
Journal Articles
- Li, X., Huang, X., Li, D. and Xu, Y. (2022) Aggravated social segregation during the COVID-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated US metropolitan areas. Sustainable Cities and Society, 81. 103869.
- Li, X., Ning, H., Huang, X., Dadashova, B., Kang, Y. and Ma, A. (2022) Urban infrastructure audit: an effective protocol to digitize signalized intersections by mining street view images. Cartography and Geographic Information Science, 49(1): 32-49.
- Li, X., Yu, S., Huang, X., Dadashova, B., Cui, W. and Zhang, Z. (2022) Do underserved and socially vulnerable communities observe more crashes? A spatial examination of social vulnerability and crash risks in Texas. Accident Analysis and Prevention, 173. 106721.
- Li, X., Mousavi, S.M., Dadashova, B., Lord, D. and Wolshon, B. (2021) Toward a crowdsourcing solution to identify high-risk highway segments through mining driving jerks. Accident Analysis and Prevention, 155. 106101.
- Li, X., Xu, H., Huang, X., Guo, C.A., Kang, Y. and Ye, X. (2021) Emerging geo-data sources to reveal human mobility dynamics during COVID-19 pandemic: opportunities and challenges. Computational Urban Science, 1(1): 1-9.
- Li, X., Goldberg, D.W., Chu, T. and Ma, A. (2019) Enhancing driving safety: Discovering individualized hazardous driving scenes using GIS and mobile sensing. Transactions in GIS, 23(3): 538-557.
- Li, X., Huo, D., Goldberg, D.W., Chu, T., Yin, Z. and Hammond, T. (2019) Embracing crowdsensing: An enhanced mobile sensing solution for road anomaly detection. ISPRS International Journal of Geo-Information, 8(9). 412.
- Li, X. and Goldberg, D.W. (2018) Toward a mobile crowdsensing system for road surface assessment. Computers, Environment and Urban Systems, 69: 51-62.