What stay-at-home orders reveal about dependence on transportation network companies
Lily Hanig (),
Destenie Nock and
Corey D. Harper
Additional contact information
Lily Hanig: Carnegie Mellon University
Destenie Nock: Carnegie Mellon University
Corey D. Harper: Carnegie Mellon University
Transportation, 2025, vol. 52, issue 2, No 1, 412 pages
Abstract:
Abstract Transportation Network Companies (TNC) such as Uber and Lyft set out to provide transportation not fulfilled by private vehicles or public transit. The social value of TNCs for essential trips (i.e., necessary trips that cannot be fulfilled by another mode of transportation) is difficult to discern in normal conditions. The COVID-19 stay-at-home order is used as a natural experiment to investigate the heterogeneous ability to avoid TNCs by income areas of trip origins. We measure the sensitivity of different populations’ ability to respond to policies and to avoid TNC trips (e.g., early stay-at-home orders) using a difference-in-difference style regression. Previous studies have indicated that under normal conditions TNCs primarily serve high-income areas, indicating that TNCs may not be improving transportation equity but instead serve as an additional mode of transportation for passengers with multiple options. We fill a gap in the literature by evaluating the role TNCs play in serving unavoidable and essential trips. We find that high-income community areas showed greater sensitivity to the stay-at-home order with a 56% greater decrease in TNC ridership during the stay-at-home order compared to low-income community areas. Specifically, TNC trips from high-income areas decreased by 80%. This indicates that although riders from high-income community areas might make up the majority of trips in normal conditions, low-income community areas are less able to adapt to stay-at-home orders because of a higher degree of non-flexible and essential jobs or less access to TNC alternatives like private vehicles and public transit.
Keywords: Transportation network company; Uber; Equity; Transportation equity; COVID-19 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11116-023-10425-w Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:transp:v:52:y:2025:i:2:d:10.1007_s11116-023-10425-w
Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11116/PS2
DOI: 10.1007/s11116-023-10425-w
Access Statistics for this article
Transportation is currently edited by Kay W. Axhausen
More articles in Transportation from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().