Estimating the travel demand impacts of semi automated vehicles
In this study the authors investigate changes in travel due to level 2 automation among owners of electric vehicles in California. Level 2 automation has the potential to reduce driver fatigue and make driving less stressful which could mean drivers choose to travel more. The authors use questionnaire survey data to investigate changes to long distance travel and annual vehicle miles travelled (VMT) due to automation. Results show those who report doing more long-distance travel because of automation are younger; have a lower household income; live in urban areas; own a longer-range electric vehicle; use automation in a variety of conditions; and have pro-technology attitudes and prefer outdoor lifestyles. The authors use propensity score matching to investigate whether automation leads to an increase in annual VMT. The results of this show 4059–4971 more miles per year among users of level 2 automation compared to owners of similar vehicles without automation.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
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Supplemental Notes:
- © 2022 Scott Hardman et al. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Hardman, Scott
- Chakraborty, Debapriya
- Tal, Gil
- Publication Date: 2022-6
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: 103311
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Serial:
- Transportation Research Part D: Transport and Environment
- Volume: 107
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1361-9209
- Serial URL: http://www.sciencedirect.com/science/journal/13619209
Subject/Index Terms
- TRT Terms: Electric vehicles; Estimating; Level 2 driving automation; Travel demand; Vehicle miles of travel
- Geographic Terms: California
- Subject Areas: Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01847584
- Record Type: Publication
- Files: TRIS
- Created Date: May 31 2022 9:15AM