Defining Psychometric Variables Related to Use of Autonomous Vehicles
With the goal of understanding autonomous vehicle (AV) adoption and use behavior, numerous behavioral studies and surveys have included variables intended to capture individuals’ perceptions of and attitudes toward AVs. However, the selection of questions to measure these psychometric variables appears to be ad hoc and, in many cases, arbitrary. In contrast, this study defines psychometric latent variables (LVs) that are related to the adoption and use of AVs and develops a set of questions to reliably measure them. By considering three psychological concepts (norms, perceptions, and attitudes) and nine qualitative utility constructs that influence individuals’ travel behavior, this study defines a comprehensive list of LVs and identifier questions to support their construction. A factor analysis of a nationwide n?=?347 sample was used to obtain a minimum set of relevant LVs and questions to measure them. Ultimately, the factor analysis resulted in a final set of nine LVs specified by 44 questions (four or five questions for each LV). The final set of questions may be used by researchers or survey organizations interested in studying future trends of demand and adoption for AVs or other emerging transportation modes. The approach used in this study may also be employed in other contexts to define psychometric variables of interest and the questions needed to reliably measure them.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
-
Supplemental Notes:
- The Standing Committee on Traveler Behavior and Values (ADB10) peer-reviewed this paper (19-03095). © National Academy of Sciences: Transportation Research Board 2019.
-
Authors:
- Ge, Yanbo
- Ranjbari, Andisheh
- Lewis, Elyse O’C
- Barber, Eric
- MacKenzie, Don
- Publication Date: 2019-12
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 655-669
-
Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Volume: 2673
- Issue Number: 12
- Publisher: Sage Publications, Incorporated
- ISSN: 0361-1981
- EISSN: 2169-4052
- Serial URL: http://journals.sagepub.com/home/trr
Subject/Index Terms
- TRT Terms: Attitudes; Autonomous vehicles; Factor analysis; Perception; Psychometrics; Questionnaires; Travel behavior; Variables
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01719269
- Record Type: Publication
- Files: TRIS, TRB, ATRI
- Created Date: Oct 11 2019 11:30AM