Author ORCID Identifier

https://orcid.org/0000-0001-7432-8058

https://orcid.org/0000-0001-6515-6813

https://orcid.org/0000-0002-3498-711X

Document Type

Report

Publication Date

Winter 2024

Abstract

This research report describes the scenario framework created to determine the potential role automated vehicles (AVs) have in benefiting and adversely impacting the following underserved populations: people with disabilities and impairments (visually, hearing, physically, intellectually) and with autism spectrum disorder, younger and older populations, immigrants, low income, indigenous, rural, female and LGBTQ+, vulnerable road users (cyclists, pedestrians, low speed riders and drivers), and minority races. After presenting a literature review, three chapters explain the 3 modules of the framework: (1) scenario construction, (2) scenario factors, and (3) GIS methodology for evaluating community level AV impacts. Module 1 describes the use of four defined scenario archetypes: (1) continued growth, (2) collapse, (3) transformation, (4) discipline. Module 2 describes the factors that may cause shifts within a scenario or to another scenario. Scenario factors to consider emerge from monitoring for signals of change. Patents provide insight into the trends and evolution of technology development, as well as focus groups with subject matter experts and the general public. Strategies that proactively and reactively adjust the path to an AV scenario are a critical subset of scenario factors. Module 2 concludes with a discussion of the signposts to look for to monitor the unveiling of scenario pathways. The GIS based framework of Module 3 uses the Connected, Autonomous, and Electric Vehicles Rural Transport Index (CARTI) structure described by Walters, et al. (2022) and involves identifying the geographic areas with transportation needs that could be met with AVs and AV mobility services. Various indicators are used to evaluate the extent of the need for AVs and the capacity for AVs. The sum of need and capacity scores provides a score of AV potential; the impacts of AVs in those high potential are then evaluated for potential impacts on underserved populations.

Comments

Tran-SET Project 22ITSUTA63

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