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Analyzing the time frame for the transition from leisure-cyclist to commuter-cyclist

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Abstract

A recent survey reported that many commuter-cyclists had enjoyed leisure bicycling on a regular basis prior to becoming a commuter-cyclist. While bicycling for leisure, it is assumed that they considered various factors that led them to consider becoming commuter-cyclists. This study began with the question of how long it would take for a leisure-cyclist to become a commuter-cyclist, and it focused on the time that elapsed between leisure-cyclists transitioning to commuter-cycling. In order to analyze the time frame, it was hypothesized that the probability that a leisure-cyclist would become a commuter-cyclist at a certain time would be conditional on the duration that elapsed from the onset of leisure cycling till that time, which represents the “snowballing” or “inertial” dynamics of duration. A robust methodology, which is known as the “hazard model,” was adopted to accommodate such characteristics of a time period. In addition, various external covariates such as individual-specific characteristics, variables associated with the current or previous commuting mode, supply variables regarding bicycle facilities, and individual latent propensities were adopted to account for the duration of changes that would be generally applicable. As a result, many useful results were derived that could be used in fomenting policies to promote cycling to work. It was found that government should invest in establishing segregated lanes for leisure- and commuter-cyclists. It also turned out that a long distance to work hinders a leisure-cyclist from progressing to commuter-cycling. According to the results, young white-collar workers who live in high-rise apartments and enjoy intensive leisure-cycling in groups, are a good target toward whom promotions for commuter-cycling should be focused. However, an unfortunate development was that, when compared with car-commuters, it was found that transit-commuters are more likely to become commuter-cyclists.

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References

  • Bhat, C.R.: A generalized multiple durations proportional hazard model with an application to activity participation behavior during the work commute. Transp. Res. Part B 30, 432–452 (1996)

    Google Scholar 

  • Bhat, C.R.: Duration modeling, chap. 6. In: Hensher, D.A., Button K.J. (eds.) Handbook of Transport Modeling, pp. 91–111 (2000)

  • Bradley, M.A., Bovy, P.L.: A stated preference analysis of bicyclist route choice. In: Proceedings 12th PTRC Summer Annual Meeting. University of Sussex, England (1984)

  • Cervero, R.: Mixed land-uses and commuting: evidence from the American Housing Survey. Transp. Res. Part A 30(5), 361–377 (1996)

    Google Scholar 

  • Cervero, R., Duncan, M.: Walking, bicycling and urban landscapes: evidence from the San Francisco Bay Area. Am. J. Public Health 93(9), 1438–1478 (2003)

    Article  Google Scholar 

  • de Ortúzar, J.D., Iacobelli A., Valeze C.: Estimating demand for a cycle-way network. Transp. Res. Part A 34, 353–373 (2000)

    Google Scholar 

  • Dickinson, J.E., Kingham, S., Copsey, S., Hougie, D.J.P.: Employer travel plans, cycling and gender: will travel plan measures improve the outlook for cycling to work in the UK? Transp. Res. Part D 8(1), 53–67 (2003)

    Article  Google Scholar 

  • Dill, J., Carr, T.: Bicycle Commuting and Facilities in Major U.S. Cities: If You Build Them, Commuters Will Use Them—Another Look, CD-ROM. Transportation Research Board, National Research Council, Washington DC (2003)

    Google Scholar 

  • DiStefano, C., Zhu, M., Mîndril, D.: Computing factor scores. Pract. Assess. Res. Eval. 14(20), 1–11 (2009)

    Google Scholar 

  • Gatersleben, B., Appleton, K.M.: Contemplating cycling to work: attitudes and perceptions in different stages of change. Transp. Res. Part A 41, 302–312 (2007)

    Google Scholar 

  • Greene, W.: LIMDEP Version 9.0. Econometric Software Inc., New York (2007)

    Google Scholar 

  • Heinen, E., Van Wee, B., Matt, K.: Commuting by bicycle: an overview of the literature. Transp. Rev. 30(1), 56–59 (2010)

    Article  Google Scholar 

  • Hensher, D.A., Mannering, F.L.: Hazard-based duration models and their application to transportation analysis. Transp. Rev. 14(1), 63–82 (1994)

    Article  Google Scholar 

  • Hopkinson, P., Wardman, M.: Evaluating the demand for new cycle facilities. Transp. Policy 3(4), 241–249 (1996)

    Article  Google Scholar 

  • Johansson, M.V., Heldt, T., Johansson, P.: The effects of attitudes and personality trait on mode choice. Transp. Res. Part A 40, 507–525 (2006)

    Google Scholar 

  • Kalbfleisch, J., Prentice, L.: The Statistical Analysis of Failure Time Data. Wiley, New York (1980)

    Google Scholar 

  • Kingham, S., Dickenson, J., Copsey, J.: Traveling to work: will people move out of their cars. Transp. Policy 8, 151–160 (2001)

    Article  Google Scholar 

  • Lee, B., Timmermans, H.J.P.: A latent class accelerated hazard model of activity episode duration. Transp. Res. Part B 41, 426–447 (2007)

    Article  Google Scholar 

  • Mannering, F.S., Kim, S.-G., Barfield, W., Ng, L.: Statistical analysis of commuter’s route, mode, and departure time flexibility. Transp. Res. Part C 2, 35–47 (1994)

    Article  Google Scholar 

  • Morikawa, T., Ben-Akiva, M., McFadden, D.: Discrete choice models incorporating revealed preferences and psychometric data. In: Franses, P.H., Montgomery, A.L. (eds.) Econometric Models in Marketing, Advances in Econometrics, vol. 16, pp. 29–55. Elsevier, Amsterdam (2002)

  • Moudon, A.V., Lee, C., Cheadle, A.D., Collier, C.W., Johnson, D., Schmid, T.L., Weather, R.D.: Cycling and the built environment: US perspective. Transp. Res. Part D 10, 245–261 (2005)

    Article  Google Scholar 

  • Nelson, A.C., Allen, D.: If you build them, commuters will use them. Transportation Research Record: Journal of Transportation Research Board, No. 1578, TRB, pp. 79–83. National Research Council, Washington DC (1997)

  • Niemeier, D.A., Morita, J.G.: Duration of trip-making activities by men and women. Transportation 23, 353–371 (1996)

    Article  Google Scholar 

  • Noland, R.B., Kunreuther, H.: Short-run and long-run policies for increasing bicycle transportation for daily commuter trips. Transp. Policy 2(1), 67–79 (1995)

    Article  Google Scholar 

  • Norusis, M.: SPSS 15.0 Advanced Statistical Procedures Companion. Prentice Hall Press, Upper Saddle River (2007)

    Google Scholar 

  • Parkin, J., Wardman, M., Page, M.: Estimation of the determinants of bicycle mode share for the journey to work using census data. Transportation 35(1), 93–109 (2008)

    Article  Google Scholar 

  • Paselk, T.A., Mannering, F.L.: Use of duration models for predicting vehicular delay at a US/Canadian border crossing. Transportation 21, 249–270 (1994)

    Article  Google Scholar 

  • Pikora, T., Giles-Corti, B., Bull, F., Jamrozik, K., Donovan, R.: Developing a framework for assessment of environmental determinants of walking and cycling. Soc. Sci. Med. 56(8), 1693–1703 (2003)

    Article  Google Scholar 

  • Prochaska, J.O., DiClemente C.C.: The Trans-Theoretical Approach: Crossing Traditional Boundaries of Change. Dow Jones/Irwin, Homewood IL (1984)

  • Pucher, J., Buehler, R.: Why Canadians cycle more than Americans: a comparative analysis of bicycle trends and policies. Transp. Policy 13(3), 265–279 (2006)

    Article  Google Scholar 

  • Rieveld, P., Daniel, V.: Determinants of bicycle use: do municipal policies matter? Transp. Res. Part A 38, 531–550 (2004)

    Google Scholar 

  • Sohn, K., Yun, J.: Separation of car-dependent commuters from normal-choice riders in mode-choice analysis. Transportation 36(4), 423–436 (2009)

    Article  Google Scholar 

  • Tilahun, N.Y., Levinson, D.M., Krizek, K.J.: Trails, lanes, or traffic: valuing bicycle facilities with an adaptive stated preference survey. Transp. Res. Part A 41, 287–301 (2007)

    Google Scholar 

  • Timperio, A., Ball, K., Salmon, J., Roberts, R., Giles-Corti, B., Baur, C., Crawford, D.: Personal, family, social, and environmental correlates of active commuting to school. Am. J. Prev. Med. 30(1), 45–51 (2006)

    Article  Google Scholar 

  • Transportation Survey (2008) Seoul Metropolitan Government

  • Wardman, M., Hatfield, R., Page, M.: The UK national cycling strategy: can improved facilities meet the targets. Transp. Policy 4(2), 123–133 (1997)

    Article  Google Scholar 

  • Wardman, M., Tight, M., Matthew, P.: Factors influencing the propensity to cycle to work. Transp. Res. Part A 41, 339–350 (2007)

    Google Scholar 

  • Yamamoto, T., Kitamura, R.: An analysis of household vehicle holding durations considering intended holding durations. Transp. Res. Part A 34, 339–351 (2000)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Urban Engineering, Chung-Ang University, 221, Heukseok-dong, Dongjak-gu, Seoul, Korea

    Hyochul Park, Yong Jae Lee & Keemin Sohn

  2. Korea Transportation Institute, 1160, Shimindaero Ilsanseo-gu, Goyang-si, Gyeonggi-do, Korea

    Hee Cheol Shin

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  1. Hyochul Park
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  2. Yong Jae Lee
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  3. Hee Cheol Shin
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  4. Keemin Sohn
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Correspondence to Keemin Sohn.

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Park, H., Lee, Y.J., Shin, H.C. et al. Analyzing the time frame for the transition from leisure-cyclist to commuter-cyclist. Transportation 38, 305–319 (2011). https://doi.org/10.1007/s11116-010-9299-4

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