Integration of shared autonomous vehicles (SAVs) into existing transportation services: A focus group study
Autonomous vehicles (AVs) utilize new technology that promises to enhance transportation equity, accessibility, and safety; however, their acceptance by consumers, as well as their future performance, is reliant upon the planners understanding the public’s perceptions of the current transportation s...
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doaj-03538d705bbf433a8ee0fffa9371ef4c2021-10-09T04:41:22ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822021-12-0112100481Integration of shared autonomous vehicles (SAVs) into existing transportation services: A focus group studyRoya Etminani-Ghasrodashti0Ronik Ketankumar Patel1Sharareh Kermanshachi2Jay Michael Rosenberger3David Weinreich4Ann Foss5Center for Transportation Equity, Decisions and Dollars (CTEDD), University of Texas at Arlington (UTA), Woolf Hall Suite 325, 500 West First Street, Arlington, TX 76019, USADepartment of Civil Engineering, University of Texas at Arlington (UTA), 416 Yates Street, 425 Nedderman Hall, Arlington, Texas 76019, USADepartment of Civil Engineering, Univerity of Texas at Arlington (UTA), 416 Yates Street, 438 Nedderman Hall, Arlington, Texas, 76019, USA; Corresponding author.Department of Industrial Engineering, University of Texas at Arlington (UTA), Woolf Hall Room 420 D, 500 West First Street, Arlington, TX 76019, USAFaculty of Architecture and Town Planning, Technion-Israel Institute of Technology, Technion City, Haifa 3200003, IsraelOffice of Strategic Initiatives, City of Arlington, 101 W. Abram St., Arlington, TX 76010, USAAutonomous vehicles (AVs) utilize new technology that promises to enhance transportation equity, accessibility, and safety; however, their acceptance by consumers, as well as their future performance, is reliant upon the planners understanding the public’s perceptions of the current transportation services. Most of the existing studies that evaluate the public's opinions and perceptions of AV technology were conducted by using stated preference surveys in metropolitan areas with multiple public transit options; little emphasis was given to a qualitative approach that included all of the potential users. This study explores the concerns and preferences of future riders about the integration of a shared self-driving shuttle into an existing ridesharing service in a city with no existing public transit system, multiple population segments, and potential users. Utilizing a qualitative approach, we conducted three focus groups that were comprised of the general public; university faculty, staff, and students; and people with disabilities in Arlington, Texas (n = 24). A content analysis method was implemented to analyze the data and identify the main themes and subthemes related to each discussion. The results revealed that all three groups identified service accessibility, flexibility, and reliability as the factors that most strongly shape the demand for existing transportation services. Additionally, people with disabilities cited the capacity of the existing paratransit service and the lack of access to distant health care facilities as barriers that frequently prevent them from using the service. Participants also expressed their concerns about the proposed shared autonomous vehicle (SAV) service, and while accessibility and safety were the primary concerns, they also worried about the capacity of the service, the trip cost, and provisions for people with disabilities. Participants with disabilities indicated that they would adopt the SAV as long as service planners provide a supportive environment such as access to sidewalks, ramps, and curb cuts in the pick-up and drop-off locations. This study provides insights into transportation strategies that can integrate SAVs into existing on-demand ridesharing services to improve people's mobility needs. To predict the short-term and long-term adoption of an SAV deployment, it is essential to identify the potential users' concerns, preferences, and expectations of self-driving technology. The research findings are expected to support transportation planners and policymakers in their quest to recognize and utilize the most effective ways to promote the efficiency of SAV services.http://www.sciencedirect.com/science/article/pii/S259019822100186XShared autonomous vehiclesRidesharingOn-demand ridesharingDisability transportation services |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Roya Etminani-Ghasrodashti Ronik Ketankumar Patel Sharareh Kermanshachi Jay Michael Rosenberger David Weinreich Ann Foss |
spellingShingle |
Roya Etminani-Ghasrodashti Ronik Ketankumar Patel Sharareh Kermanshachi Jay Michael Rosenberger David Weinreich Ann Foss Integration of shared autonomous vehicles (SAVs) into existing transportation services: A focus group study Transportation Research Interdisciplinary Perspectives Shared autonomous vehicles Ridesharing On-demand ridesharing Disability transportation services |
author_facet |
Roya Etminani-Ghasrodashti Ronik Ketankumar Patel Sharareh Kermanshachi Jay Michael Rosenberger David Weinreich Ann Foss |
author_sort |
Roya Etminani-Ghasrodashti |
title |
Integration of shared autonomous vehicles (SAVs) into existing transportation services: A focus group study |
title_short |
Integration of shared autonomous vehicles (SAVs) into existing transportation services: A focus group study |
title_full |
Integration of shared autonomous vehicles (SAVs) into existing transportation services: A focus group study |
title_fullStr |
Integration of shared autonomous vehicles (SAVs) into existing transportation services: A focus group study |
title_full_unstemmed |
Integration of shared autonomous vehicles (SAVs) into existing transportation services: A focus group study |
title_sort |
integration of shared autonomous vehicles (savs) into existing transportation services: a focus group study |
publisher |
Elsevier |
series |
Transportation Research Interdisciplinary Perspectives |
issn |
2590-1982 |
publishDate |
2021-12-01 |
description |
Autonomous vehicles (AVs) utilize new technology that promises to enhance transportation equity, accessibility, and safety; however, their acceptance by consumers, as well as their future performance, is reliant upon the planners understanding the public’s perceptions of the current transportation services. Most of the existing studies that evaluate the public's opinions and perceptions of AV technology were conducted by using stated preference surveys in metropolitan areas with multiple public transit options; little emphasis was given to a qualitative approach that included all of the potential users. This study explores the concerns and preferences of future riders about the integration of a shared self-driving shuttle into an existing ridesharing service in a city with no existing public transit system, multiple population segments, and potential users. Utilizing a qualitative approach, we conducted three focus groups that were comprised of the general public; university faculty, staff, and students; and people with disabilities in Arlington, Texas (n = 24). A content analysis method was implemented to analyze the data and identify the main themes and subthemes related to each discussion. The results revealed that all three groups identified service accessibility, flexibility, and reliability as the factors that most strongly shape the demand for existing transportation services. Additionally, people with disabilities cited the capacity of the existing paratransit service and the lack of access to distant health care facilities as barriers that frequently prevent them from using the service. Participants also expressed their concerns about the proposed shared autonomous vehicle (SAV) service, and while accessibility and safety were the primary concerns, they also worried about the capacity of the service, the trip cost, and provisions for people with disabilities. Participants with disabilities indicated that they would adopt the SAV as long as service planners provide a supportive environment such as access to sidewalks, ramps, and curb cuts in the pick-up and drop-off locations. This study provides insights into transportation strategies that can integrate SAVs into existing on-demand ridesharing services to improve people's mobility needs. To predict the short-term and long-term adoption of an SAV deployment, it is essential to identify the potential users' concerns, preferences, and expectations of self-driving technology. The research findings are expected to support transportation planners and policymakers in their quest to recognize and utilize the most effective ways to promote the efficiency of SAV services. |
topic |
Shared autonomous vehicles Ridesharing On-demand ridesharing Disability transportation services |
url |
http://www.sciencedirect.com/science/article/pii/S259019822100186X |
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