Impact evaluation of a public bicycle share program on cycling: a case example of BIXI in Montreal, Quebec. Fuller, D., Gauvin, L., Kestens, Y., Daniel, M., Fournier, M., Morency, P., & Drouin, L. American Journal of Public Health, 103(3):e85–92, March, 2013. doi abstract bibtex OBJECTIVES: We examined associations between residential exposure to BIXI (BIcycle-taXI)-a public bicycle share program implemented in Montreal, Quebec, in 2009, which increases accessibility to cycling by making available 5050 bicycles at 405 bicycle docking stations-and likelihood of cycling (BIXI and non-BIXI) in Montreal over the first 2 years of implementation. METHODS: Three population-based samples of adults participated in telephone surveys. Data collection occurred at the launch of the program (spring 2009), and at the end of the first (fall 2009) and second (fall 2010) seasons of implementation. Difference in differences models assessed whether greater cycling was observed for those exposed to BIXI compared with those not exposed at each time point. RESULTS: We observed a greater likelihood of cycling for those exposed to the public bicycle share program after the second season of implementation (odds ratio = 2.86; 95% confidence interval = 1.85, 4.42) after we controlled for weather, built environment, and individual variables. CONCLUSIONS: The implementation of a public bicycle share program can lead to greater likelihood of cycling among persons living in areas where bicycles are made available.
@article{fuller_impact_2013,
title = {Impact evaluation of a public bicycle share program on cycling: a case example of {BIXI} in {Montreal}, {Quebec}},
volume = {103},
issn = {1541-0048},
shorttitle = {Impact evaluation of a public bicycle share program on cycling},
doi = {10.2105/AJPH.2012.300917},
abstract = {OBJECTIVES: We examined associations between residential exposure to BIXI (BIcycle-taXI)-a public bicycle share program implemented in Montreal, Quebec, in 2009, which increases accessibility to cycling by making available 5050 bicycles at 405 bicycle docking stations-and likelihood of cycling (BIXI and non-BIXI) in Montreal over the first 2 years of implementation.
METHODS: Three population-based samples of adults participated in telephone surveys. Data collection occurred at the launch of the program (spring 2009), and at the end of the first (fall 2009) and second (fall 2010) seasons of implementation. Difference in differences models assessed whether greater cycling was observed for those exposed to BIXI compared with those not exposed at each time point.
RESULTS: We observed a greater likelihood of cycling for those exposed to the public bicycle share program after the second season of implementation (odds ratio = 2.86; 95\% confidence interval = 1.85, 4.42) after we controlled for weather, built environment, and individual variables.
CONCLUSIONS: The implementation of a public bicycle share program can lead to greater likelihood of cycling among persons living in areas where bicycles are made available.},
language = {eng},
number = {3},
journal = {American Journal of Public Health},
author = {Fuller, Daniel and Gauvin, Lise and Kestens, Yan and Daniel, Mark and Fournier, Michel and Morency, Patrick and Drouin, Louis},
month = mar,
year = {2013},
pmid = {23327280},
pmcid = {PMC3673500},
keywords = {Adolescent, Adult, Bicycling, Cross-Sectional Studies, Data Collection, Female, Health Promotion, Humans, Logistic Models, Male, Middle Aged, Quebec, Recreation, Time Factors, Transportation, Young Adult},
pages = {e85--92},
}
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METHODS: Three population-based samples of adults participated in telephone surveys. Data collection occurred at the launch of the program (spring 2009), and at the end of the first (fall 2009) and second (fall 2010) seasons of implementation. Difference in differences models assessed whether greater cycling was observed for those exposed to BIXI compared with those not exposed at each time point. RESULTS: We observed a greater likelihood of cycling for those exposed to the public bicycle share program after the second season of implementation (odds ratio = 2.86; 95% confidence interval = 1.85, 4.42) after we controlled for weather, built environment, and individual variables. 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