On Jointly Analyzing the Physical Activity Participation Levels of Individuals in a Family Unit Using a Multivariate Copula Framework

dc.creatorSener, Ipek N.en
dc.creatorEluru, Naveenen
dc.creatorBhat, Chandra R.en
dc.date.accessioned2013-08-20T15:16:01Zen
dc.date.available2013-08-20T15:16:01Zen
dc.date.issued2010en
dc.descriptionAt the time of publication Ipek N. Sener was at the Texas Transportation Institute, Naveen Eluru was at McGill University, and Chandra R. Bhat was at the University of Texas at Austin.en
dc.description.abstractThe current paper focuses on analyzing and modeling the physical activity participation levels (in terms of the number of daily “bouts” or “episodes” of physical activity during a weekend day) of all members of a family jointly. Essentially, we consider a family as a “cluster” of individuals whose physical activity propensities may be affected by common household attributes (such as household income and household structure) as well as unobserved family-related factors (such as family life-style and health consciousness, and residential location-related factors). The proposed copula-based clustered ordered-response model structure allows the testing of various dependency forms among the physical activity propensities of individuals of the same household (generated due to the unobserved family-related factors), including non-linear and asymmetric dependency forms. The proposed model system is applied to study physical activity participations of individuals, using data drawn from the 2000 San Francisco Bay Area Household Travel Survey (BATS). A number of individual factors, physical environment factors, and social environment factors are considered in the empirical analysis. The results indicate that reduced vehicle ownership and increased bicycle ownership are important positive determinants ofweekend physical activity participation levels, though these results should be tempered by the possibility that individuals who are predisposed to physical activity may choose to own fewer motorized vehicles and more bicycles in the first place. Our results also suggest that policy interventions aimed at increasing children‟s physical activity levels could potentially benefit from targeting entire family units rather than targeting only children. Finally, the results indicate strong and asymmetric dependence among the unobserved physical activity determinants of family members. In particular, the results show that unobserved factors (such as residence location-related constraints and family lifestyle preferences) result in individuals in a family having uniformly low physical activity, but there is less clustering of this kind at the high end of the physical activity propensity spectrum.en
dc.description.departmentCivil, Architectural, and Environmental Engineeringen
dc.identifier.issn1755-5345en
dc.identifier.urihttp://hdl.handle.net/2152/21084en
dc.language.isoengen
dc.publisherJournal of Choice Modelingen
dc.subjectcopulasen
dc.subjectphysical activityen
dc.subjectfamily and public healthen
dc.subjectsocial dependencyen
dc.subjectdata clusteringen
dc.subjectactivity-based travel analysisen
dc.titleOn Jointly Analyzing the Physical Activity Participation Levels of Individuals in a Family Unit Using a Multivariate Copula Frameworken
dc.typeArticleen

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