Bicycles gathering dust rather than raising dust – Prevalence and predictors of cycling among Australian schoolchildren



      To examine social and physical environmental correlates of cycling regularly (i.e. at least once per week) among school-aged children.


      Cross-sectional study of 430 primary (48% boys; 72% urban) and 258 secondary school-aged children (52% boys; 51.6% urban) in Victoria, Australia.


      Children survey-reported their frequency of cycling during a typical week. Parents survey-reported on traffic concern, social trust and whether their child was allowed to cycle alone on main roads. Using a Geographic Information System each child's home was mapped along with bike paths, sports/recreational facilities and shops within 800 m and 5000 m (using pedestrian/cyclist network buffers). Logistic regression analyses examined associations between these explanatory variables and the odds of cycling at least once per week.


      Factors associated with reduced odds of cycling at least once per week were: being a girl rather than a boy (odds ratio = 0.53, 95% confidence interval 0.38–0.74); and the number of types of sports facilities located with 5000 m of home (odds ratio = 0.87; 95% confidence interval 0.78–0.97). Factors associated with increased odds of this were: bike path provision (top tertile) within 5000 m of home (odds ratio = 1.70; 95% confidence interval 1.11–2.61) and being allowed to cycle alone on main roads (odds ratio = 1.75, 95% confidence interval 1.22–2.52).


      Further research is required to inform interventions to promote children's cycling, e.g. by skill-building so that parents feel comfortable allowing their child to cycle without adult accompaniment. Natural experiments are also needed to evaluate the impact of new cycling infrastructure on rates of cycling among children and the broader population.


      OR (odds ratio), CI (confidence interval)


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        • WHO
        Global recommendations on physical activity for health.
        World Health Organization, Geneva, Switzerland2010
        • Australian Bureau of Statistics
        Australian health survey: physical activity, 2011–12.
        Australian Bureau of Statistics, Canberra2013
        • Oja P.
        • Titze S.
        • Bauman A.
        • et al.
        Health benefits of cycling: a systematic review.
        Scand J Med Sci Sports. 2011; 21: 496-509
        • World Health Organization
        Health Economic Assessment Tools (HEAT) for walking and for cycling.
        World Health Organization, Copenhagen, Denmark2011
        • Hillman M.
        • Adams J.
        • Whitelegg J.
        One false move: a study of children's independent mobility.
        PSI Publishing, London1990
        • Kyttä M.
        The extent of children's independent mobility and the number of actualized affordances as criteria for child-friendly environments.
        J Environ Psychol. 2004; 24: 179-198
        • Mackett R.
        • Brown B.
        • Gong Y.
        • et al.
        Children's independent movement in the local environment.
        Built Environ. 2007; 33: 454-468
        • Page A.S.
        • Cooper A.R.
        • Griew P.
        • et al.
        Independent mobility in relation to weekday and weekend physical activity in children aged 10–11 years: the PEACH project.
        Int J Behav Nutr Phys Act. 2009; 6: 2
        • Lubans D.R.
        • Boreham C.A.
        • Kelly P.
        • et al.
        The relationship between active travel to school and health-related fitness in children and adolescents: a systematic review.
        Int J Behav Nutr Phys Act. 2011; 8: 5
        • Schoeppe S.
        • Duncan M.J.
        • Badland H.
        • et al.
        Associations of children's independent mobility and active travel with physical activity, sedentary behaviour and weight status: a systematic review.
        J Sci Med Sport. 2013; 16: 312-319
        • National Center for Safe Routes to School
        How children get to school: school travel patterns from 1969 to 2009.
        University of North Carolina Highway Safety Research Center, North Carolina2011
        • Department of Transport
        National travel survey statistical release.
        Department of Transport, London2012
      1. Australian Bureau of Statistics. CensusAtSchool Australia: National Summary Tables. Available at: [accessed 02.10.13].

        • Pucher J.
        • Buehler R.
        Making cycling irresistible: lessons from the Netherlands, Denmark, and Germany.
        Transp Rev. 2008; 28: 495-528
        • Munro C.
        • Australian Bicycle Council
        Australian cycling participation 2013: reporting for the national cycling strategy 2011–2016.
        Austroads Ltd., Sydney, NSW, Australia2013
        • Australian Bureau of Statistics
        Children's participation in cultural and leisure activities.
        Australian Bureau of Statistics, Canberra, Australia2012
        • Carver A.
        • Timperio A.
        • Crawford D.
        Young and free? A study of independent mobility among urban and rural dwelling Australian children.
        J Sci Med Sport. 2012; 15: 505-510
        • Sallis J.
        • Owen N.
        Ecological models.
        in: Glanz K. Lewis F. Rimer B. Health behaviour and health education: theory, research, and practice. 2nd ed. Jossey-Bass Publishers, San Francisco1997 ([chapter 19])
        • Carver A.
        • Timperio A.
        • Crawford D.
        Playing it safe: the influence of neighbourhood safety on children's physical activity – a review.
        Health Place. 2008; 14: 217-227
        • Carver A.
        • Timperio A.
        • Crawford D.
        Parental chauffeurs: what drives their transport choice?.
        J Transp Geogr. 2013; 26: 72-77
        • Mavoa S.
        • Witten K.
        • McCreanor T.
        • et al.
        GIS based destination accessibility via public transit and walking in Auckland, New Zealand.
        J Transp Geogr. 2012; 20: 15-22
        • Poortinga W.
        Perceptions of the environment, physical activity, and obesity.
        Soc Sci Med. 2006; 63: 2835-2846
      2. Australia Post Australia Post Annual Report 2013. Available at: [accessed 13.12.13].

        • Vanhelst J.
        • Béghin L.
        • Salleron J.
        • et al.
        A favorable built environment is associated with better physical fitness in European adolescents.
        Prev Med. 2013;
        • Giles-Corti B.
        • King A.
        Creating active environments across the life: thinking outside the square.
        Br J Sports Med. 2009; 43: 109-113
        • Van Mechelen W.
        Physical activity of young people: the Amsterdam longitudinal growth and health study.
        Med Sci Sports Exerc. 2000; 32: 1610-1616
        • Timperio A.
        • Ball K.
        • Salmon J.
        • et al.
        Personal, family, social, and environmental correlates of active commuting to school.
        Am J Prev Med. 2006; 30: 45-51
        • Trapp G.
        • Giles-Corti B.
        • Christian H.
        • et al.
        On your bike! a cross-sectional study of the individual, social and environmental correlates of cycling to school.
        Int J Behav Nutr Phys Act. 2011; 8: 123
        • Underwood S.K.
        • Handy S.L.
        • Paterniti D.A.
        • et al.
        Why do teens abandon bicycling? A retrospective look at attitudes and behaviors.
        J Transp Health. 2014; 1: 17-24
        • Goodman A.
        • Sahlqvist S.
        • Ogilvie D.
        Who uses new walking and cycling infrastructure and how? Longitudinal results from the UK iConnect study.
        Prev Med. 2013; 57: 518-524