Transportation and Transit Deserts in US Cities

10:00-12:00, Feb 23 2022, Beijing China; 19:00-21:00, Feb 22 2022, Phoenix USA; 20:00-22:00, Feb 22 2022, Austin USA

 

Video for the presentation.

 

Junfeng Jiao is the Hampton K. and Margaret Frye Snell Endowed Chair in Transportation in the Community and Regional Planning program at The University of Texas at Austin. He is the directors of Urban Information Lab, Texas Smart Cities, and NSF NRT Ethical AI. He is also a founding member and past chair of UT Good Systems Grand Challenge. His research focuses on Smart City, Smart Transportation and Urban Informatics. He uses different information technologies to quantify urban infrastructures and their influences on people’s behaviors. He firstly coined the term transit deserts and measured it in all US cities. Using different machine learning methods, Dr. Jiao investigated and quantified the spatial-temporal patterns of various shared economy activities (Airbnb, Uber, Scooter, and Bike sharing) in major US cities. He has published over 80 peer reviewed articles and two books in Shared Mobility and Smart City, respectively. His research has been widely reported by in major media outlets such as ABC, Associated Press, CNN, Fox, NBC, NPR, New York Times, and Wired. As a PI or Co-PI, Dr. Jiao has raised over $16 million funding from different sources such as NSF, USDOT, TXDOT, UT, Microsoft, Google, and others.

 

 

 

 

Abstract

Transportation plays a key role in modern cities but is not equitably accessible. Transit Deserts look at the gap between level of transit service (supply) and needs of a particular population (demand). Through a focus on “transit deserts,” a well-known term coined by Professor Junfeng Jiao, this lecture will present the overall transit access in all major US cities, investigate possible solutions and imagine what a future with greater access and mobility might look like.

 

 

 

 

Recent Publications

1. Jiao, J., Wang, H., (accepted). Traffic Behavior Recognition from Traffic Videos under Occlusion Condition: A Kalman Filter Approach, Transportation Research Record: Journal of Transportation Research Board.

2. Azimian, A., Jiao, J., (2022). Modeling Factors Contributing to Dockless E-Scooter Injury Accidents in Austin, Texas. Traffic Injury Prevention. DOI:10.1080/15389588.2022.2030057

3. Jiao, J., Azimian, A., (2021). Prediction of “L” Train’s Daily Ridership in Downtown Chicago During the COVID-19 Pandemic. Findings. https://doi.org/10.32866/001c.30181

4. Jiao, J.,Chen, Y., Azimian, A., (2021). Exploring temporal varying demographic and economic disparities in COVID-19 infections in four U.S. areas: based on OLS, GWR, and random forest models. Comput.Urban Sci. 1, 27 (2021). https://doi.org/10.1007/s43762-021-00028-5

5. Bai, S, Jiao, J., (2021). Toward Equitable Micromobility: Lessons from Austin E-scooter Sharing Program. Journal of Planning and Education Research. DOI:10.1177/0739456X211057196

6. Jiao, J., Bai, S, Choi, S. (2021). Understanding E-scooter Incidents Patterns in Street Network Perspective: A Case Study of Travis County, Texas. Sustainability.

7. Jiao, J., Bhat, M., Azimian, A., (2021). The Impact of COVID-19 on Home Value in Major Texas Cities. International Journal of Housing Markets and Analysis.

8. Jiao, J., Hansen, K., Azimian, A., (2021). Land Value Impacts of Airbnb Listings on Single-Family Homes in Austin, Texas, USA. International Journal of Housing Markets and Analysis.

9. Lee, H, Jiao, J., Choi, S., (2021). Identifying Spatiotemporal Transit Deserts in Seoul, South Korea. Journal of Transport Geography.

10. Jiao, J., Azimian, A., (2021).Measuring Accessibility to Grocery Stores Using Radiation Model and Survival Analysis. Journal of Transport Geography.