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An integrated analysis of workers’ physically active activity and active travel choice behavior
Institution:1. Department of Civil and Materials Engineering, University of Illinois at Chicago, 842 W. Taylor Street, Chicago, IL 60607-7023, USA;2. School of Civil and Environment Engineering, University of New South Wales, Sydney, NSW 2052, Australia;1. Department of Civil and Resource Engineering, Faculty of Engineering, Dalhousie University, Halifax, NS, Canada;2. Department of Geography and Environmental Studies, School of the Environment, Saint Mary''s University, Halifax, NS, Canada
Abstract:Using Texas add-on sample data from the 2009 National Household Travel Survey, this study examines adult workers’ daily active choice decisions in the context of physical activity and attendant health benefits. The study looked at workers’ two choice behaviors: active activity and active travel. The first choice behavior, active activity, is developed as an ordered-response model based on the number of physically active recreational activities pursued during the workday. The second choice behavior, active travel, is developed as a binary-response model that examines workers’ active travel choices—whether or not the worker used any active mode of travel during the same workday. The study improves the understanding and knowledge of observed factors influencing workers’ physically active activity-travel behavior. The study also provides several observations regarding the role (and constraints) of employment in individuals’ active choices. Using a flexible copula modeling methodology, we explore the true correlation (or dependence) between the two behavior choices that could occur due to the presence of unobserved factors, suggesting a simultaneously low or simultaneously high propensity for being physically active across workers. The study findings suggest that transportation and public health policy makers can mutually benefit from encouraging workers to be physically active (from an activity and/or travel perspective). Overall, the study draws attention to the integrated nature of the public health and transportation fields, thereby providing a distinct view of active/inactive choice behavior. To our knowledge, this is the first study exploring a rich variety of components for workers’ active activity-travel behavior through a robust copula approach.
Keywords:Workers’ behavior  Physically active activity  Active transportation mode  Copula approach  Joint choice modeling  2009 NHTS Texas add-on data
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