Publication Type
Journal Article
Version
publishedVersion
Publication Date
4-2023
Abstract
The pandemic arising from the 2019 coronavirus disease has significantly affected all facets of human life across the world, including economies and transportation systems, thereby changing people’s travel behaviors. This research was aimed at exploring the relationship between socio-economic factors and e-scooter trip durations before and during the pandemic. We developed a hazard-based duration approach and estimated multiple spatial and non-spatial models on the basis of 2019 and 2020 dockless e-scooter data collected from the City of Austin’s Open Data Portal. The results indicated an overall increase in e-scooter trip durations after the pandemic. Moreover, analysis of variables revealed potential changes in users’ behavior before and during the pandemic. In particular, whereas e-scooter trip durations were found to be positively associated with aggregate travel time to work before the pandemic, this trend was reversed during the pandemic. In addition, during the pandemic, e-scooter travel time was positively correlated with the ratio of individuals with bachelor’s degrees or greater to those with associate degrees or lower. However, no specific pattern was observed before the pandemic. Lastly, the results showed the presence of disparities within the study area; therefore, it is vital to extend e-scooter service areas to cover underserved communities.
Keywords
spatial data, e-scooters, COVID-19, statistical analysis
Discipline
Transportation | Urban Studies
Research Areas
Integrative Research Areas
Publication
Transportation Research Record
Volume
2677
Issue
4
First Page
629
Last Page
640
ISSN
0361-1981
Identifier
10.1177/03611981221138807
Publisher
SAGE Publications
Citation
AZIMIAN, Amin and JIAO, Junfeng.
Durations of dockless e-scooter trips before and during the COVID-19 pandemic in Austin, TX: an analysis using hazard-based duration models. (2023). Transportation Research Record. 2677, (4), 629-640.
Available at: https://ink.library.smu.edu.sg/cis_research/498
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1177/03611981221138807