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Transportation

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29-09-2022

Subjective variables in travel behavior models: a critical review and Standardized Transport Attitude Measurement Protocol (STAMP)

Authors: Matthew Wigginton Bhagat-Conway, Laura Mirtich, Deborah Salon, Nathan Harness, Alexis Consalvo, Shuyao Hong

Published in: Transportation | Issue 1/2024

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Abstract

Understanding people’s travel behavior is necessary for achieving goals such as increased bicycling and walking, decreased traffic congestion, and adoption of clean-fuel vehicles. To understand underlying motivations, researchers increasingly are adding subjective variables to models of travel behavior. This article presents a systematic review of 158 such studies. Nearly every reviewed article finds subjective variables to be predictive of transport outcomes. However, the 158 reviewed studies include 2864 distinct subjective survey questions. This heterogeneity makes it difficult to reach definitive conclusions about which subjective variables are most important for which transport outcomes. In addition to heterogeneity, challenges of this literature also include an unclear direction of causality and tautological relationships between some subjective variables and behavior. Within the constraints imposed by these challenges, we attempt to evaluate the explanatory power of subjective variables, which subjective variables matter most for which transport choices, and whether the answers to these questions vary between continents. To reduce heterogeneity in future studies, we introduce the Standardized Transport Attitude Measurement Protocol, which identifies a curated set of subjective questions. We have also developed an open-access database of the reviewed studies, including all subjective survey questions and models, with an interactive, searchable interface.

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Unless otherwise indicated, attitudinal statements used as examples are drawn from STAMP; see Appendix A for citations to the original sources.

In cases where a structural equation model is specified so that an attitudinal factor has a direct effect on multiple dependent variables, the attitude is counted as significant if any of its effects on dependent variables in that model are significant, or there is a pathway to the dependent variable consisting of only significant effects. Excluding papers that fit structural equation models leads to a slightly lower significance rate (41%).

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Title: Subjective variables in travel behavior models: a critical review and Standardized Transport Attitude Measurement Protocol (STAMP)
Authors: Matthew Wigginton Bhagat-Conway
Laura Mirtich
Deborah Salon
Nathan Harness
Alexis Consalvo
Shuyao Hong
Publication date: 29-09-2022
Publisher: Springer US
Published in: Transportation / Issue 1/2024
Print ISSN: 0049-4488
Electronic ISSN: 1572-9435
DOI: https://doi.org/10.1007/s11116-022-10323-7

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