Disparities in ridehailing travel times for accessing non-work destinations

• Realized trip-making data are used to measure a ridehailing travel time index for accessing non-work destinations. • Ridehailing has larger disparities in access travel times than public transit. • Census tracts with a higher percentage of the white population have better travel time index. • Census tracts with a higher median household income have better travel time index. • Older-adult and households with children have more access barriers in terms of access travel times. We contribute to the literature on new mobilities by measuring spatial disparities in travel times for accessing essential non-work destinations via ridehailing. We focused on healthcare, restaurants, and grocery destinations in Chicago. Data from Chicago ridehailing providers, which included detailed information about all realized ridehailing trips in Chicago, were used to derive mean travel times by ridehailing for each census tract. Inspired by the gravity-based model, we calculated an inverse travel time index based on cumulative travel times for each census tract where ridehailing trips occurred. To understand the disparities in travel times, we compared the inverse travel time index for ridehailing and transit in the same census tracts. Then, we applied spatial autoregressive regression to examine the effects of various sociodemographic factors. The results suggested that the inverse travel time index was preferable in tracts with a higher household income and a lower percentage of minority populations. Also, disparities in travel times tended to be greater via ridehailing than transit. This study sheds light on disparities related to ridehailing and how we could improve access to essential destinations for underserved and underrepresented populations and communities. Policy implications include subsidizing disadvantaged users who lack reliable transportation options, regulating ridehailing prices, increasing the provision of essential destinations for underserved areas, and maintaining the quality of public transit services.

Authors

Institutions

Publication Details

Journal
Transportation Research Interdisciplinary Perspectives
Published
2024-10-31
DOI
https://doi.org/10.1016/j.trip.2024.101258
Citations
3
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Disparities in ridehailing travel times for accessing non-work destinations

Robert B. Noland, Xiao Huang, Sicheng Wang
3 citations
Transportation Research Interdisciplinary Perspectives
Transportation and Mobility Innovations
0.61
article

Disparities in ridehailing travel times for accessing non-work destinations

Robert B. Noland, Xiao Huang, Sicheng Wang
article en
3 citations

Abstract

• Realized trip-making data are used to measure a ridehailing travel time index for accessing non-work destinations. • Ridehailing has larger disparities in access travel times than public transit. • Census tracts with a higher percentage of the white population have better travel time index. • Census tracts with a higher median household income have better travel time index. • Older-adult and households with children have more access barriers in terms of access travel times. We contribute to the literature on new mobilities by measuring spatial disparities in travel times for accessing essential non-work destinations via ridehailing. We focused on healthcare, restaurants, and grocery destinations in Chicago. Data from Chicago ridehailing providers, which included detailed information about all realized ridehailing trips in Chicago, were used to derive mean travel times by ridehailing for each census tract. Inspired by the gravity-based model, we calculated an inverse travel time index based on cumulative travel times for each census tract where ridehailing trips occurred. To understand the disparities in travel times, we compared the inverse travel time index for ridehailing and transit in the same census tracts. Then, we applied spatial autoregressive regression to examine the effects of various sociodemographic factors. The results suggested that the inverse travel time index was preferable in tracts with a higher household income and a lower percentage of minority populations. Also, disparities in travel times tended to be greater via ridehailing than transit. This study sheds light on disparities related to ridehailing and how we could improve access to essential destinations for underserved and underrepresented populations and communities. Policy implications include subsidizing disadvantaged users who lack reliable transportation options, regulating ridehailing prices, increasing the provision of essential destinations for underserved areas, and maintaining the quality of public transit services.

Transportation Research Interdisciplinary PerspectivesVol. 28
Rutgers, The State University of New Jersey (US), Emory University (US), University of South Carolina (US)
Decent work and economic growth
Openalex Percentile: Top 33%
Transportation and Mobility Innovations
0.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.