Madeleine Steinmetz-Wood1, Yan Kestens2. 1. Dept. of Social and Preventive Medicine, University of Montreal, Montreal, QC, Canada; Centre de Recherche du CHUM, University of Montreal, Montreal, QC, Canada. Electronic address: madeleine.steinmetz-wood@umontreal.ca. 2. Dept. of Social and Preventive Medicine, University of Montreal, Montreal, QC, Canada; Centre de Recherche du CHUM, University of Montreal, Montreal, QC, Canada. Electronic address: yan.kestens@umontreal.ca.
Abstract
OBJECTIVE: To examine socioeconomic status as a moderator of the relationship between the built environment and active transportation such as walking or cycling using measures of built environment exposure derived from individuals transport trips. METHODS: The 2008 Montreal Origin-destination (OD) survey provided origin-destination coordinates for a sample of 156,700 participants. We selected participants from this survey that had traveled within the census metropolitan area of Montreal the day preceding the interview, and that were between 18-65 years of age. Measures of connectivity, land-use mix, and density of business and services were collected using 400-m buffers of the trip routes. Logistic regression was used to model the relationship between built environment variables and active transportation. RESULTS: Trip routes in the 2nd, 3rd, and 4th quartile of density of business and services or connectivity translated into greater odds of taking AT (compared to a trip in the lowest quartile). Trip routes in the 2nd, 3rd, and 4th quartile of land-use mix translated into lower odds of taking AT. Trips in the highest quartiles of connectivity and density of business and services were found to have a weaker association with active transportation if the individual undergoing the trip was from a low SES neighborhood. CONCLUSION: Our results suggest that previous studies finding no effect modification may have been due to the limitation of measurements of exposures to the residential neighborhood.
OBJECTIVE: To examine socioeconomic status as a moderator of the relationship between the built environment and active transportation such as walking or cycling using measures of built environment exposure derived from individuals transport trips. METHODS: The 2008 Montreal Origin-destination (OD) survey provided origin-destination coordinates for a sample of 156,700 participants. We selected participants from this survey that had traveled within the census metropolitan area of Montreal the day preceding the interview, and that were between 18-65 years of age. Measures of connectivity, land-use mix, and density of business and services were collected using 400-m buffers of the trip routes. Logistic regression was used to model the relationship between built environment variables and active transportation. RESULTS:Trip routes in the 2nd, 3rd, and 4th quartile of density of business and services or connectivity translated into greater odds of taking AT (compared to a trip in the lowest quartile). Trip routes in the 2nd, 3rd, and 4th quartile of land-use mix translated into lower odds of taking AT. Trips in the highest quartiles of connectivity and density of business and services were found to have a weaker association with active transportation if the individual undergoing the trip was from a low SES neighborhood. CONCLUSION: Our results suggest that previous studies finding no effect modification may have been due to the limitation of measurements of exposures to the residential neighborhood.
Keywords:
Active transportation; Connectivity; Density of destinations; Land-use mix; Neighborhood socioeconomic status; Physical activity; Walkability
Authors: Javier Molina-García; Cristina Menescardi; Isaac Estevan; Vladimir Martínez-Bello; Ana Queralt Journal: Int J Environ Res Public Health Date: 2019-08-31 Impact factor: 3.390
Authors: Chelsea D Christie; Anna Consoli; Paul E Ronksley; Jennifer E Vena; Christine M Friedenreich; Gavin R McCormack Journal: Can J Public Health Date: 2020-08-24