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- 01GJE4S4YHDZAN0RZXZE4RPGE8 classification A1.
- 01GJE4S4YHDZAN0RZXZE4RPGE8 date "2019".
- 01GJE4S4YHDZAN0RZXZE4RPGE8 language "eng".
- 01GJE4S4YHDZAN0RZXZE4RPGE8 type journalArticle.
- 01GJE4S4YHDZAN0RZXZE4RPGE8 subject "Earth and Environmental Sciences".
- 01GJE4S4YHDZAN0RZXZE4RPGE8 doi "10.1016/j.tra.2019.09.015".
- 01GJE4S4YHDZAN0RZXZE4RPGE8 issn "0965-8564".
- 01GJE4S4YHDZAN0RZXZE4RPGE8 issn "1879-2375".
- 01GJE4S4YHDZAN0RZXZE4RPGE8 volume "130".
- 01GJE4S4YHDZAN0RZXZE4RPGE8 abstract "This study offers an early glimpse of how individuals perceive the advantages/disadvantages of AVs, their mode-use intentions, and potential market segments with respect to mode use, should AVs eventually become the only way to travel by car. To do so, we implemented a statewide survey of Georgia residents (N = 2890) and using that data, we applied factor analyses to two blocks of AV-related statements. The first block measured 12 perceptions of AVs, and yielded two psychological constructs: AV pros (advantages/ benefits) and AV overuse cons (negative outcomes specifically associated with the excessive use of AVs). The second block of statements measured respondents' inclinations between AV and non-AV options for 12 hypothetical transportation "needs", and factor analysis identified four mode-use propensity constructs: AV(-inclined) over walk/bike, AV over flight, zero-occupant AV over occupied AV, and AV over transit. The main goal of the paper was to segment the sample on the basis of these four mode-use propensities, to identify clusters with similar propensity profiles or response vectors. We applied latent class cluster analysis to do so, and identified seven potential market segments: some preferring AV options in general, others preferring non-AV options or having unique propensity patterns based on certain contexts (e.g. long distance travel and vehicle occupancy). In the model, socio-demographics, geography, attitudes, and perceptions of AVs help characterize those market segments, and this provides a basis for deeper interpretation and consideration of policy implications.".
- 01GJE4S4YHDZAN0RZXZE4RPGE8 author 22d7f9ed-7b0e-11ec-944b-f0b1754d10e9.
- 01GJE4S4YHDZAN0RZXZE4RPGE8 author urn:uuid:1f0c9057-41b4-4269-aa01-03ac2a1b87f9.
- 01GJE4S4YHDZAN0RZXZE4RPGE8 author urn:uuid:4cd4997c-65ac-49ea-a066-584cf3552458.
- 01GJE4S4YHDZAN0RZXZE4RPGE8 dateCreated "2022-11-21T22:26:15Z".
- 01GJE4S4YHDZAN0RZXZE4RPGE8 dateModified "2024-07-09T07:41:17Z".
- 01GJE4S4YHDZAN0RZXZE4RPGE8 name "Identifying latent mode-use propensity segments in an all-AV era".
- 01GJE4S4YHDZAN0RZXZE4RPGE8 pagination urn:uuid:5896da67-b216-4cdf-a3ff-05f68b2f01a3.
- 01GJE4S4YHDZAN0RZXZE4RPGE8 sameAs LU-01GJE4S4YHDZAN0RZXZE4RPGE8.
- 01GJE4S4YHDZAN0RZXZE4RPGE8 sourceOrganization urn:uuid:73486ff5-eb28-4e60-9e56-36d2a40a94f1.
- 01GJE4S4YHDZAN0RZXZE4RPGE8 type A1.