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Factors Associated with Proportions and Miles of Bicycling for Transportation and Recreation in Six Small U.S. Cities

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Author Info

  • Xing, Yan
  • Handy, Susan L.
  • Mokhtarian, Patricia L.

Abstract

The majority of bicycling in the US is for recreation rather than transportation purposes but few studies have examined the question of bicycling purpose. We use data from an online survey conducted in 2006 in six small cities in the western US to examine factors affecting bicycling for transportation compared to bicycling for recreation. The results indicate that individual, social-environment, and physical-environment factors have important influences on the balance between transportation and recreational bicycling and on miles of bicycling for each purpose. Bicycling comfort and an aversion to driving are associated with more transportation bicycling. A culture of utilitarian bicycling and short distances to destinations are also key factors for transportation bicycling. Bicycle infrastructure appears to play an indirect role through its effect on perceived bicycling safety and through the self-selection effect, by attracting bicycling-inclined people to bicycling-supportive communities.

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Bibliographic Info

Paper provided by Institute of Transportation Studies, UC Davis in its series Institute of Transportation Studies, Working Paper Series with number qt74n4j1p0.

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Date of creation: 01 Jan 2010
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Handle: RePEc:cdl:itsdav:qt74n4j1p0

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Keywords: UCD-ITS-RP-10-11; Engineering;

References

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  1. Mokhtarian, Patricia L. & Bagley, Michael N., 2000. "Modeling employees' perceptions and proportional preferences of work locations: the regular workplace and telecommuting alternatives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(4), pages 223-242, May.
  2. John R. Hauser, 1977. "Testing the Accuracy," Discussion Papers, Northwestern University, Center for Mathematical Studies in Economics and Management Science 286, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  3. John Parkin & Mark Wardman & Matthew Page, 2008. "Estimation of the determinants of bicycle mode share for the journey to work using census data," Transportation, Springer, vol. 35(1), pages 93-109, January.
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Cited by:
  1. Julian Hine & Md. Kamruzzaman & Neale Blair, 2012. "Weekly activity-travel behaviour in rural Northern Ireland: differences by context and socio-demographic," Transportation, Springer, vol. 39(1), pages 175-195, January.
  2. Smith, Michael S. & Kauermann, Göran, 2011. "Bicycle commuting in Melbourne during the 2000s energy crisis: A semiparametric analysis of intraday volumes," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1846-1862.
  3. Maarten Kroesen & Susan Handy, 2014. "The relation between bicycle commuting and non-work cycling: results from a mobility panel," Transportation, Springer, vol. 41(3), pages 507-527, May.
  4. Jessica Schoner & Xinyu (Jason) Cao & David Levinson, 2013. "Catalysts And Magnets: Built Environment Effects On Bicycle Commuting," Working Papers 000116, University of Minnesota: Nexus Research Group.
  5. Li, Zhibin & Wang, Wei & Yang, Chen & Jiang, Guojun, 2013. "Exploring the causal relationship between bicycle choice and trip chain pattern," Transport Policy, Elsevier, vol. 29(C), pages 170-177.
  6. Ralph Buehler & John Pucher, 2012. "Cycling to work in 90 large American cities: new evidence on the role of bike paths and lanes," Transportation, Springer, vol. 39(2), pages 409-432, March.
  7. Thomas Götschi & Beat Hintermann, 2013. "Valuation of public investment to support bicycling (FV-09)," Working papers, Faculty of Business and Economics - University of Basel 2013/02, Faculty of Business and Economics - University of Basel.

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