Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey

Abstract Background Cycling is associated with numerous health benefits. Evidence suggests that new cycling infrastructure leads to increases in cycling, though studies of network-level changes are lacking. The objective of this study was to determine the longitudinal effect of cycling infrastructur...

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Main Authors: Stephanie A. Prince, Tyler Thomas, Philippe Apparicio, Lancelot Rodrigue, Christopher Jobson, Kathryn L. Walker, Gregory P. Butler, Rania Wasfi
Format: Article
Language:English
Published: BMC 2025-06-01
Series:International Journal of Behavioral Nutrition and Physical Activity
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Online Access:https://doi.org/10.1186/s12966-025-01767-y
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author Stephanie A. Prince
Tyler Thomas
Philippe Apparicio
Lancelot Rodrigue
Christopher Jobson
Kathryn L. Walker
Gregory P. Butler
Rania Wasfi
author_facet Stephanie A. Prince
Tyler Thomas
Philippe Apparicio
Lancelot Rodrigue
Christopher Jobson
Kathryn L. Walker
Gregory P. Butler
Rania Wasfi
author_sort Stephanie A. Prince
collection DOAJ
description Abstract Background Cycling is associated with numerous health benefits. Evidence suggests that new cycling infrastructure leads to increases in cycling, though studies of network-level changes are lacking. The objective of this study was to determine the longitudinal effect of cycling infrastructure on cycling engagement among adults living in Montréal, Canada. Methods Using data from the National Population Health Survey (1994–2011), this study included adults who resided in the Montréal Census Metropolitan Area for a minimum of two survey cycles (N = 779). Outcomes included self-reported any cycling (transportation or recreation) and time in recreational cycling (minutes/week). Archival maps describing temporal changes in the cycling network for five-year intervals (1991–2011) were classified using the Canadian Bikeway Comfort and Safety Classification System (Can-BICS). Three cycling exposures were calculated from the centroid of each dissemination area: (1) distance to the nearest cycling path categorized by Can-BICS comfort-level (low, medium or high), (2) presence of cycle paths of each comfort level within distance thresholds (low = 321 m, medium = 623 m, high = 1790 m), and (3) density of cycle paths within a 1000 m buffer. Mixed effects logistic regression models estimated associations between cycling infrastructure and any cycling. Linear mixed effects models estimated associations between cycling infrastructure and time spent in recreational cycling. Results Over the study period, low- and medium-comfort cycle paths were more prevalent than high-comfort paths and cycling for recreation was more common than cycling for transportation. Exposure to high-comfort paths within an acceptable distance (< 1790 m) was associated with higher odds of any cycling (aOR = 1.28, 95% CI: 1.00–1.63). Cumulative exposure to medium-comfort paths within an acceptable distance (< 623 m) was associated with greater time spent in recreational cycling (β = 0.09, 95% CI: 0.03–0.16). Gender-stratified analyses suggested that cumulative exposures to low- and medium-comfort infrastructure within distance thresholds was associated with time spent in recreational cycling (low: β = 0.06, 95% CI: 0.00–0.12, medium: β = 0.13, 95% CI: 0.04–0.22,) among women. No significant effects were observed for distance to the nearest cycling infrastructure for either outcome. Density was not examined in models due to low variation with most buffers having no cycling infrastructure. Conclusions This research provides evidence that cycle paths, especially of higher comfort and safety, can promote cycling. Future work is needed to explore cumulative exposures to cycling infrastructure, taking into consideration connectivity of networks, integrated public transport, and accessibility to work.
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spelling doaj-art-64d6cae9e26f4965bf4372ebc10659922025-08-20T02:39:44ZengBMCInternational Journal of Behavioral Nutrition and Physical Activity1479-58682025-06-0122111510.1186/s12966-025-01767-yCycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health surveyStephanie A. Prince0Tyler Thomas1Philippe Apparicio2Lancelot Rodrigue3Christopher Jobson4Kathryn L. Walker5Gregory P. Butler6Rania Wasfi7Centre for Surveillance and Applied Research, Health Promotion and Chronic Disease Prevention Branch, Public Health Agency of CanadaCentre for Surveillance and Applied Research, Health Promotion and Chronic Disease Prevention Branch, Public Health Agency of CanadaDepartment of Applied Geomatics, Université de SherbrookeSchool of Urban Planning, McGill UniversityInteroperable Platforms and Product Management, Digital Transformation Branch, Health CanadaPopulation Health, Faculty of Health Sciences, University of OttawaCentre for Surveillance and Applied Research, Health Promotion and Chronic Disease Prevention Branch, Public Health Agency of CanadaModelling Hub Division, Applied Public Health Sciences Directorate, Science and Policy Integration Branch, Public Health Agency of CanadaAbstract Background Cycling is associated with numerous health benefits. Evidence suggests that new cycling infrastructure leads to increases in cycling, though studies of network-level changes are lacking. The objective of this study was to determine the longitudinal effect of cycling infrastructure on cycling engagement among adults living in Montréal, Canada. Methods Using data from the National Population Health Survey (1994–2011), this study included adults who resided in the Montréal Census Metropolitan Area for a minimum of two survey cycles (N = 779). Outcomes included self-reported any cycling (transportation or recreation) and time in recreational cycling (minutes/week). Archival maps describing temporal changes in the cycling network for five-year intervals (1991–2011) were classified using the Canadian Bikeway Comfort and Safety Classification System (Can-BICS). Three cycling exposures were calculated from the centroid of each dissemination area: (1) distance to the nearest cycling path categorized by Can-BICS comfort-level (low, medium or high), (2) presence of cycle paths of each comfort level within distance thresholds (low = 321 m, medium = 623 m, high = 1790 m), and (3) density of cycle paths within a 1000 m buffer. Mixed effects logistic regression models estimated associations between cycling infrastructure and any cycling. Linear mixed effects models estimated associations between cycling infrastructure and time spent in recreational cycling. Results Over the study period, low- and medium-comfort cycle paths were more prevalent than high-comfort paths and cycling for recreation was more common than cycling for transportation. Exposure to high-comfort paths within an acceptable distance (< 1790 m) was associated with higher odds of any cycling (aOR = 1.28, 95% CI: 1.00–1.63). Cumulative exposure to medium-comfort paths within an acceptable distance (< 623 m) was associated with greater time spent in recreational cycling (β = 0.09, 95% CI: 0.03–0.16). Gender-stratified analyses suggested that cumulative exposures to low- and medium-comfort infrastructure within distance thresholds was associated with time spent in recreational cycling (low: β = 0.06, 95% CI: 0.00–0.12, medium: β = 0.13, 95% CI: 0.04–0.22,) among women. No significant effects were observed for distance to the nearest cycling infrastructure for either outcome. Density was not examined in models due to low variation with most buffers having no cycling infrastructure. Conclusions This research provides evidence that cycle paths, especially of higher comfort and safety, can promote cycling. Future work is needed to explore cumulative exposures to cycling infrastructure, taking into consideration connectivity of networks, integrated public transport, and accessibility to work.https://doi.org/10.1186/s12966-025-01767-yCyclingRecreationTransportationNatural experiment
spellingShingle Stephanie A. Prince
Tyler Thomas
Philippe Apparicio
Lancelot Rodrigue
Christopher Jobson
Kathryn L. Walker
Gregory P. Butler
Rania Wasfi
Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey
International Journal of Behavioral Nutrition and Physical Activity
Cycling
Recreation
Transportation
Natural experiment
title Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey
title_full Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey
title_fullStr Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey
title_full_unstemmed Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey
title_short Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey
title_sort cycling infrastructure as a determinant of cycling for recreation and transportation in montreal canada a natural experiment using the longitudinal national population health survey
topic Cycling
Recreation
Transportation
Natural experiment
url https://doi.org/10.1186/s12966-025-01767-y
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