Advancing Equity and Congestion Relief: An Investigation of On-Demand Shared Rides for Underserved Populations [Policy Brief]

Sener, Ipek Nese; Sibu, Austin; Cabay, Audrey

doi:10.5038/CUTR-NICR-Y2-2-5.2

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Advancing Equity and Congestion Relief: An Investigation of On-Demand Shared Rides for Underserved Populations [Policy Brief]

2023-11-01
By Sener, Ipek Nese ; Sibu, Austin ; Cabay, Audrey

File Language:

English

Details

Creators:

Sener, Ipek Nese ; Sibu, Austin ; Cabay, Audrey
Corporate Creators:

Texas A&M Transportation Institute
Corporate Contributors:

National Institute for Congestion Reduction ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
DOI:

https://doi.org/10.5038/CUTR-NICR-Y2-2-5.2
Resource Type:

Brief
Geographical Coverage:

United States
Edition:

Policy Brief
Corporate Publisher:

National Institute for Congestion Reduction
Abstract:

This report is part of a larger study focused on on-demand transportation, with a particular emphasis on shared-ride services. The first phase of the study (Phase 1) centered on improving pooling rates across all on-demand services to mitigate some of the environmental, economic, and traffic concerns related to those services. This subsequent phase of the study (Phase 2) focused instead on identifying differences in usage of on-demand and shared-ride mobility options across different sociodemographic groups, classifying populations as possibly marginalized or underserved, pinpointing the causes of these differences, and establishing a framework to address these differences through policies aimed at reducing inequity.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/75662/dot_75662_DS1.pdf
File Type:

[PDF - 276.79 KB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:0b7dccf01c0b000690e950b64347c6a03063c3eedaadeb4184c4caf6bfd854dcc9995327e1e91b7ca0e51660b378ff93001d147c952bd11d41ddb7ef29b1fb10

File Language:

English

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