Understanding the Changes in Public Perception toward Autonomous Vehicles over Time
Realistic and accurate evaluations of the potential influences of autonomous vehicles (AVs) on transportation systems are based on an adequate understanding of the market penetration and customers’ preferences for various AV technologies and services. Although research efforts have been made to enhance public knowledge about what population segments could be early AV passengers, few attempts have been made to examine the change in public attitudes toward AVs over time. Previously, surveys were the primary approach to measure public acceptance, preferences, and contributing factors. However, both the measures of approval and their corresponding explanatory variables vary substantially across research articles. This paper explores the changes in public perceptions toward AV technologies over time. A synthesis of previously published survey results related to AV technologies was conducted. This study may help provide insights into how public perceptions toward AVs have changed over time and the components that change public perceptions.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784484876
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Supplemental Notes:
- © 2023 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Rezwana, Saki
- Shaon, Mohammad Razaur Rahman
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0000-0001-7172-9139
- Lownes, Nicholas
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0000-0002-3885-2917
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Conference:
- International Conference on Transportation and Development 2023
- Location: Austin Texas, United States
- Date: 2023-6-14 to 2023-6-17
- Publication Date: 2023
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 361-372
- Monograph Title: International Conference on Transportation and Development 2023: Transportation Safety and Emerging Technologies
Subject/Index Terms
- TRT Terms: Attitudes; Autonomous vehicles; Market penetration; Perception; Public opinion; Time domain analysis
- Subject Areas: Data and Information Technology; Highways; Society; Vehicles and Equipment;
Filing Info
- Accession Number: 01902294
- Record Type: Publication
- ISBN: 9780784484876
- Files: TRIS, ASCE
- Created Date: Dec 15 2023 8:49AM