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As AI is increasingly used in transportation, it is important to understand how transportation professionals, the driving force behind AI Transportation applications, perceive AI’s potential efficiency and equity impacts. We surveyed 354 transportation professionals in the United States and conducted descriptive analysis and latent class cluster analysis based on the collected data.
Key words: AI, transportation, equity, latent class cluster analysis
Qian, Y., Polimetla, T., Sanchez, T., Yan, X. (2024). How do transportation professionals perceive the impacts of AI applications in transportation? A latent class cluster analysis.. Download Preprint.
This study presents a spatiotemporal analysis of transit accessibility to low-wage jobs and of the accessibility disparity between traveling by car and by public transit in Miami-Dade County, Florida. We find that drivers enjoy several times higher levels of accessibility to low-wage jobs than transit riders. The accessibility gap is smaller during peak hours and in the downtown Miami area, where auto accessibility is about three times that of transit accessibility; for most suburban and rural locations, auto accessibility is more than ten times higher than transit accessibility.
Key words: accessibility, public transit, transport equity, access disparity
Yan, X., Bejleri, I., Zhai, L. (2022). A spatiotemporal analysis of transit accessibility to low-wage jobs in Miami-Dade County. [Download Preprint]. Journal of Transport Geography, 98, 103218. https://doi.org/10.1016/j.jtrangeo.2021.103218
We develop an analytical framework to examine how dockless e-scooter and station-based bikesharing differ regarding a set of equity-related outcomes (i.e., availability, accessibility, usage, and idle time) across neighborhoods in different socioeconomic categories. An analysis of idle time is made possible by the availability of the GBFS data, a new source of open big data. The analysis of idle time can shed light on if improving spatial access to shared micromobility vechicles in low-income communities can effectively promote micromobility use in these areas.
Key words: E-scooter, bikeshare, micromobility equity
Su, L., Yan, X., Zhao, X. Micromobility equity: A comparison of shared e-scooters and station-based bikeshare in Washington DC. [Download Preprint]. Transport policy, 145, 25-36.
Some transit observers envision future public transit to be integrated systems with fixed-route services running along major corridors and ridesourcing servicing lower-density areas. This paper evaluates traveler preferences for a proposed integrated transit system versus the existing fixed-route system, with a particular focus on disadvantaged travelers. Results from low-income communties in Detroit and Ypsilanti suggest that a majority of survey respondents preferred a MOD transit system over a fixed-route one. However, some women may have safety concerns, and low technology self-efficacy can be a more serious barrier for many people to adopt MOD transit.
Key words: mobility on demand, public transit, transport equity
Yan, X., Zhao, X., Han, Y., Van Hentenryck, P., Dillahunt, T. (2021). Mobility-on-demand versus fixed-route transit systems: An evaluation of traveler preferences in low-income communities. [Download Paper]. Transportation Research Part A: Policy and Practice, 148, 481-495. https://doi.org/10.1016/j.tra.2021.03.019