On Transportation Equity Implications of Connected and Autonomous Vehicles (CAV): A Review of Methodologies

Bills, Tierra; Tian, Tian

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On Transportation Equity Implications of Connected and Autonomous Vehicles (CAV): A Review of Methodologies

2020-04-01
By Bills, Tierra ; Tian, Tian

File Language:

English

Details

Creators:

Bills, Tierra ; Tian, Tian
Corporate Creators:

Center for Connected and Automated Transportation (CCAT) ; University of Michigan, Ann Arbor
Corporate Contributors:

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:
Publication/ Report Number:

CCAT Project No. 5
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report. (September 2017-May 2018
Corporate Publisher:

University of Michigan. Center for Connected and Automated Transportation
Abstract:

This review brings together the bodies of literature on transportation equity analysis, travel behavior forecasting, and impacts of connected and autonomous vehicles (CAVs), with the ultimate objective of highlighting important research needs for measuring the transportation equity implications of CAVs. In comparison to previous reviews of social impacts of CAVs the focus is specifically on the state of current methods for accessing the transportation equity implications of CAVs. The authors seek to provide a summary of the methods used to assess potential impacts of CAVs and how these impacts are likely to apply for transport disadvantaged communities. The review highlights some critical gaps in available methods for measuring potential equity impacts of CAVs. The authors find that while a range of methods exists that may be applied to begin building understanding of CAV equity implications, clear guidance how to appropriately apply these is warranted.
Format:

PDF
Funding:

69A3551747105
Download URL:

https://rosap.ntl.bts.gov/view/dot/60559/dot_60559_DS1.pdf
File Type:

[PDF - 1.31 MB]
Collection(s):

Autonomous Vehicles ; University Transportation Centers
Main Document Checksum:

urn:sha-512:015a0ad74e1ea8a6b281acf4a3b06010f19f7ff8a8e1687f1e245edfdcd55f0738bc583f2bbead4452612fa2ad2db391198f72e015162f8d08fc2d53c74626ab

File Language:

English

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