How Stable Are Transport-Related Attitudes over Time?

Mirtich, Laura; Conway, Matthew Wigginton; Salon, Deborah; Kedron, Peter; Chauhan, Rishabh Singh; Derrible, Sybil; Khoeini, Sara; Mohammadian, Abolfazl; Rahimi, Ehsan; Pendyala, Ram M.

doi:10.32866/001c.24556

Cited by 11 publications

(5 citation statements)

References 12 publications

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“…There are a limited but growing number of studies focusing on the impacts of the COVID-19 pandemic on individuals’ travel behavior ( Mirtich, 2021 , Salon, 2021 , Capasso da Silva et al, 2021 , Chauhan et al, 2021 ). Bucsky (2020) analyzed the demands for various modes of transport such as public transport, personal vehicle, and bike during the COVID-19 pandemic in Budapest, Hungary.…”

Section: Introductionmentioning

confidence: 99%

Perceived risk of using shared mobility services during the COVID-19 pandemic

Rahimi

Shabanpour

Shamshiripour

et al. 2021

Transportation Research Part F: Traffic Psychology and Behaviou

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Section: Introductionmentioning

confidence: 99%

Perceived risk of using shared mobility services during the COVID-19 pandemic

Rahimi

Shabanpour

Shamshiripour

et al. 2021

Transportation Research Part F: Traffic Psychology and Behaviou

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“…Some researchers have found stability to be moderate to low (Thøgersen 2006;Adams et al 2013). However, more recent work suggests that transport-related attitudes are quite stable, similar to other types of attitudes, even over time periods of several months (Mirtich et al 2021). Given that attitudes are generally correlated with transport choices, and transport choices are stable, stability of attitudes would be expected as well.…”

Section: Longitudinal Studiesmentioning

confidence: 99%

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

et al. 2022

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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. Keywords Attitudes • Perceptions • Travel choice • Travel behavior • Factor analysisNathan Harness and Alexis Consalvo have contributed equally.

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“…The COVID-19 pandemic pushed many non-essential workers to work at home providing the opportunity to explore the revealed preferences of WFH (Beck and Hensher, 2020;Javadinasr et al, 2022;Mohammadi et al, 2022;Salon et al, 2021). As many who were new to WFH started practicing it, the role of attitudes and perceptions have been highlighted after the pandemic literature.…”

Section: Wfh Literaturementioning

confidence: 99%

“…Another reason is the impact of the COVID-19 pandemic on our lives. The COVID-19 pandemic forced people to perform essential daily activities such as working and shopping at home (Bhatti et al, 2020;Javadinasr et al, 2022;Mohammadi et al, 2022;Salon et al, 2021). These changes in individuals' daily activities have an impact on many travel behaviors, such as the number of trips per day, destination, mode, and route choice decisions, and thus have an impact on the entire transportation system.…”

Section: Introductionmentioning

confidence: 99%

The Interaction Between the Recent Evolution of Working from Home and Online Shopping

Mohammadi,

Davatgari,

Asgharpour

et al. 2024

Preprint

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The growing behaviors of work-from-home (WFH) and online shopping hold significant potential for reducing traffic congestion and emissions. Understanding the frequency and the interplay between these two behaviors is important for successful implementation. This study investigates the recent trends of WFH and online shopping and the underlying factors influencing individuals’ decisions on these two behaviors. Focusing on non-grocery online shopping, this study uses comprehensive survey data collected across the United States during October and November 2021. We develop a Generalized Structural Equation Model (GSEM) to jointly examine WFH and online shopping frequency and their interaction. Moreover, the study investigates the psychological aspects of WFH and online shopping, introducing four stochastic latent constructs—WFH comfort, WFH unproductiveness, online shopping enjoyment, and online shopping inconvenience using the attitudinal variables. Results indicate a positive causal relationship, suggesting that increased WFH promotes online shopping engagement. Perceived comfort and productivity at home affect WFH frequency shaped by factors like home workspace, commuting time, childcare responsibilities, and telecommunications with co-workers. Likewise, perceived convenience and enjoyment significantly affect online shopping, influenced by aspects such as timesaving, and the delivery and return process. Technological tools at home also play a role in WFH frequency. Demographic factors like age, race, income, physical disability, and mode choice habits correlate with WFH and online shopping incidence, while job category and employer flexibility influence WFH frequency. These insights can help policymakers to regulate remote work and online shopping activities as they continue to grow.

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How Stable Are Transport-Related Attitudes over Time?

Cited by 11 publications

References 12 publications

Perceived risk of using shared mobility services during the COVID-19 pandemic

Perceived risk of using shared mobility services during the COVID-19 pandemic

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

The Interaction Between the Recent Evolution of Working from Home and Online Shopping

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