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What moves us: Subjective and objective predictors of active transportation
Journal article   Peer reviewed

What moves us: Subjective and objective predictors of active transportation

Maggie L. Grabow, Milena Bernardinello, Andrew J. Bersch, Corinne D. Engelman, Ana Martinez-Donate, Jonathan A. Patz, Paul E. Peppard and Kristen M. C. Malecki
Journal of transport & health, v 15, p100625
01 Dec 2019
DOI: https://doi.org/10.1016/j.jth.2019.100625
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Life Sciences & Biomedicine Public, Environmental & Occupational Health Science & Technology Technology Transportation
Background: The majority of commuting trips in the United States are taken by motor vehicle. Yet, lack of regular physical activity has been identified as one of its most significant public health issues, and globally, risks due to physical inactivity are increasing. However, we believe current studies offer an unclear picture of the complex role of the environmental or psychological influences in active travel behavior across urbanicity classifications. Aims: To (1) determine an association between objective or subjective measures of the built environment and active transportation, and (2) characterize the associations within both urban and non-urban contexts among a statewide sample of 862 adults residing in Wisconsin. Methods: Multivariate logistic regression analysis of subjective data from the Survey of the Health of Wisconsin (SHOW) and data from the Wisconsin Assessment of the Social and Built Environment (WASABE), a direct observation audit tool, to test the impacts of subjective perceptions and objective built environment predictors on active transportation in both urban and rural contexts. Methods: Multivariate logistic regression analysis of subjective data from the Survey of the Health of Wisconsin (SHOW) and data from the Wisconsin Assessment of the Social and Built Environment (WASABE), a direct observation audit tool, to test the impacts of subjective perceptions and objective built environment predictors on active transportation in both urban and rural contexts. Results: Males, non-married, physically active individuals, those living in urban areas and with higher education levels had greater odds of using active transportation. Bicycle friendliness (aOR = 2.43; 95% CI: 1.4-4.2) and presence of non-residential destinations (aOR = 1.03; 95% CI: 1.01-1.05) were the strongest objective predictors of active transportation overall. Subjective measures were especially predictive of active transportation in non-urban areas, specifically for participants identifying presence of trails (adjusted odds = 3.71; 95% CI: 1.5-9.2) and nonresidential destinations nearby (adjusted odds = 2.65; 95% CI: 0.99-7.06). Conclusions: Active transportation is associated with built environment characteristics and perceived environmental factors, but the specific predictors and strength of associations vary by context. Results suggest perceived bicycle friendliness may be important in urban areas and access to trails for walking and biking may provide important opportunities to promote active transportation in more suburban or rural areas.

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24 citations in Web of Science
24 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Public, Environmental & Occupational Health
Transportation
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