@inbook{62be83bfcfb04b4f9f5fe2cf88548ff0,
title = "Understanding Interest in Personal Ownership and Use of Autonomous Vehicles for Running Errands: An Exploration Using a Joint Model Incorporating Attitudinal Constructs",
abstract = "Transportation has been experiencing disruptive forces in recent years. One key disruption is the development of autonomous vehicles (AVs) that will be capable of navigating roadways on their own without the need for human presence in the vehicle. In a utopian scenario, AVs may enter the transportation landscape and foster a more sustainable and livable ecosystem with shared autonomous electric vehicles (SAEV) serving mobility needs and eliminating the need for private ownership. In a more dystopian scenario, AVs would be personally owned by households—enabling people to live farther away from destinations, inducing additional travel, and roaming roadways with zero occupants. Concerned with the potential deleterious effects of having personal AVs running errands autonomously, this paper aims to shed light on the level of interest in sending AVs to run errands and how that variable affects the intent to own an AV. Using data from a survey conducted in 2019 in four automobile-oriented metropolitan regions in the United States, the relationship is explored through a joint model system estimated using the generalized heterogeneous data model (GHDM) methodology. Results show that even after accounting for socio-economic and demographic variables as well as latent attitudinal constructs, the level of interest in having AVs run errands has a positive and significant effect on AV ownership intent. The findings point to the need for policies that would steer the entry and use of AVs in the marketplace in ways that avoid a dystopian future.",
keywords = "attitudes/attitudinal data, autonomous vehicles, behavior analysis, planning and analysis, traveler behavior and values",
author = "Irfan Batur and Asmussen, {Katherine E.} and Aupal Mondal and Sara Khoeini and Magassy, {Tassio B.} and Pendyala, {Ram M.} and Bhat, {Chandra R.}",
note = "Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was partially supported by the Center for Teaching Old Models New Tricks (TOMNET) as well as the Data-Supported Transportation Operations and Planning (D-STOP) Center, both of which are Tier 1 University Transportation Centers sponsored by the U.S. Department of Transportation under grants 69A3551747116 and DTRT13-G-UTC58 respectively. Publisher Copyright: {\textcopyright} National Academy of Sciences: Transportation Research Board 2022.",
year = "2023",
month = feb,
doi = "10.1177/03611981221107643",
language = "English (US)",
series = "Transportation Research Record",
publisher = "SAGE Publications Ltd",
number = "2",
pages = "541--554",
booktitle = "Transportation Research Record",
address = "United Kingdom",
edition = "2",
}