Higher residential and employment densities are associated with more objectively measured walking in the home neighborhood
- PMID: 31598466
- PMCID: PMC6785037
- DOI: 10.1016/j.jth.2018.12.002
Higher residential and employment densities are associated with more objectively measured walking in the home neighborhood
Abstract
Understanding where people walk and how the built environment influences walking is a priority in active living research. Most previous studies were limited by self-reported data on walking. In the present study, walking bouts were determined by integrating one week of accelerometry, GPS, and a travel log data among 675 adult participants in the baseline sample of the Travel Assessment and Community study. Home neighborhood was defined as being within 0.5 mi of each participants' residence (a 10-minute walk), with home neighborhood walking defined as walking bout lines with at least one GPS point within the home neighborhood. Home neighborhood walkability was constructed with seven built environment variables derived from spatially continuous objective values (SmartMaps). A Zero Inflated Negative Binomial (ZINB) served to estimate associations between home neighborhood environment characteristics and home neighborhood walking frequency. Higher residential density and job density were the two neighborhood walkability measures related to higher likelihood and more time walking in the home neighborhood, highest tertile residential density (22.44 - 62.63 unit/acre) (coefficient=1.434; 95th CI of 1.003, 2.049) and highest tertile job density (12.4 - 272.3 jobs/acre) (coefficient=1.616; 95th CI of 1.102, 2.370). The large proportion of walking that takes place in the home neighborhood highlights the importance of continuing to examine the impact of the home neighborhood environment on walking. Potential interventions to increase walking behavior may benefit from increasing residential and employment density within residential areas.
Keywords: Neighborhood Environment; Physical Activity; SmartMaps; Travel Assessment and Community; Walking.
Conflict of interest statement
Conflict of Interest None
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References
- 
    - Belsley DA, 1991. Conditioning diagnostics : collinearity and weak data in regression Wiley, New York.
 
- 
    - Brownson RC, Boehmer TK, Luke DA, 2005. DECLINING RATES OF PHYSICAL ACTIVITY IN THE UNITED STATES: What Are the Contributors? Annual Review of Public Health 26. - PubMed
 
- 
    - Cameron Trivedi PK, A.C., 1998. Regression analysis of count data Cambridge University Press, Cambridge, UK; New York, NY, USA.
 
- 
    - Cervero R, 2006. Alternative Approaches to Modeling the Travel-Demand Impacts of Smart Growth. Journal of the American Planning Association 72, 285–295. doi:10.1080/01944360608976751 - DOI
 
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