Modeling the Effects of Travel Activities, Physical Activity, and Built Environment Attributes on Subjective Well-being

Transport studies have recently started focusing on the link between activity participation and subjective well-being. This study explores the relationship between subjective well-being and travel activities, physical activity, and built environment attributes. Individuals’ self-reported health condition is considered as the subjective well-being indicator. Using data from the Impacts of Bicycle Infrastructure in Mid-sized cities (IBIMS) survey of Kelowna, British Columbia, Canada, this study develops a latent segmentation-based random parameter logit (LSRPL) model. The LSRPL model is estimated for two segments capturing multi-dimensional heterogeneity by assuming a discrete distribution (i.e. inter-segment heterogeneity) and continuous distribution (i.e. intra-segment heterogeneity) of the parameters. Segment one is likely to include younger sub-urban dwellers residing in lower-income households; segment two includes older urban dwellers residing in higher-income households. The model results suggest that daily travel activity, physical activity, and built environment significantly influences health. For example, higher participation in travel and physical activity is positively associated with excellent health. The model confirms significant inter-segment heterogeneity. For instance, higher share of travel duration using car reduces the likelihood for excellent health in segment one. In contrast, a positive relationship is found in segment two. The model also confirms intra-segment heterogeneity. For example, higher share of commute duration is found to be negatively associated with good health in segment two. However, this variable shows higher heterogeneity in mean for land use mix index, which indicates that urban areas coupled with higher land use mix increases the likelihood for good health.


  • English

Media Info

  • Media Type: Digital/other
  • Features: References; Tables;
  • Pagination: 16p

Subject/Index Terms

Filing Info

  • Accession Number: 01764957
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-04349
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 17 2021 7:23PM