@inbook{0ef1a4cf2caa46418186ab47e4f7c4d6,
title = "Influence of Mode Use on Level of Satisfaction with Daily Travel Routine: A Focus on Automobile Driving in the United States",
abstract = "How does the extent of automobile use affect the level of satisfaction that people derive from their daily travel routine, after controlling for many other attributes including socio-economic and demographic characteristics, attitudinal factors, and lifestyle proclivities and preferences? This is the research question addressed by this paper. In this study, data collected from four automobile-dominated metropolitan regions in the United States (Phoenix, Austin, Atlanta, and Tampa) are used to assess the impact of the amount of driving that individuals undertake on the level of satisfaction that they derive from their daily travel routine. This research effort recognizes the presence of endogeneity when modeling multiple behavioral phenomena of interest and the role that latent attitudinal constructs reflecting lifestyle preferences play in shaping the association between behavioral mobility choices and degree of satisfaction. The model is estimated using the generalized heterogeneous data model (GHDM) methodology. Results show that latent attitudinal factors representing an environmentally friendly lifestyle, a proclivity toward car ownership and driving, and a desire to live close to transit and in diverse land use patterns affect the relative frequency of auto-driving mode use for non-commute trips and level of satisfaction with daily travel routine. Additionally, the amount of driving positively affects satisfaction with daily travel routine, implying that bringing about mode shifts toward more sustainable alternatives remains a formidable challenge—particularly in automobile-centric contexts.",
keywords = "attitudes/attitudinal data, behavior analysis, choices, etc.), pattern (behavior, planning and analysis, traveler behavior and values",
author = "Magassy, {Tassio B.} and Irfan Batur and Aupal Mondal and Asmussen, {Katherine E.} and Sara Khoeini 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 US Department of Transportation under grants 69A3551747116 and DTRT13-G-UTC58 respectively. Publisher Copyright: {\textcopyright} National Academy of Sciences: Transportation Research Board 2022.",
year = "2022",
month = oct,
doi = "10.1177/03611981221088199",
language = "English (US)",
series = "Transportation Research Record",
publisher = "SAGE Publications Ltd",
number = "10",
pages = "1--15",
booktitle = "Transportation Research Record",
address = "United Kingdom",
edition = "10",
}