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Exploring the causal relationship between bicycle choice and trip chain pattern

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  • Li, Zhibin
  • Wang, Wei
  • Yang, Chen
  • Jiang, Guojun

Abstract

Choices of bicycle and trip chain are important decisions in an individual's daily travel activities. Little is known about the causal relationship between the two decisions. It is interesting to ask if a decision on bicycle choice is made prior to the determination on a trip chain, or is dependent on the pre-determined chain pattern. This study aims to explore the relationship between the choices of bicycle and trip chain and capture the order of decision between them. Based on the survey data from a medium-sized Chinese city, the co-evolutionary approach with logit-modeling framework was estimated for the study purpose. Results show that there are more bicycle uses in the subsistence trip chains as compared to these non-subsistence ones. Considering the interaction between the two decisions improves the predicting accuracy of both bicycle choice and chain choice. In most cases, a trip chain is determined prior to a decision on bicycle choice, especially when the chain contains subsistence activities. For travelers who currently using a bicycle, most of them first decide the chain type and then choose a bicycle accordingly. Most of travelers who first determine the trip mode do not consider using a bicycle. We also estimate a model to predict the decision process of travelers. The order of decision is mainly impacted by the individual and household characteristics as well as the travel attributes. Findings of this study are discussed to assist the development of policies to promote cycling in urban areas.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:trapol:v:29:y:2013:i:c:p:170-177
    DOI: 10.1016/j.tranpol.2013.06.001
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    References listed on IDEAS

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    1. Adler, Thomas & Ben-Akiva, Moshe, 1979. "A theoretical and empirical model of trip chaining behavior," Transportation Research Part B: Methodological, Elsevier, vol. 13(3), pages 243-257, September.
    2. Su, Jason G. & Winters, Meghan & Nunes, Melissa & Brauer, Michael, 2010. "Designing a route planner to facilitate and promote cycling in Metro Vancouver, Canada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(7), pages 495-505, August.
    3. Cherry, Christopher R. & Weinert, Jonathan X. & Yang, Xinmiao, 2009. "Comparative Environmental Impacts of Electric Bikes in China," Institute of Transportation Studies, Working Paper Series qt16k918sh, Institute of Transportation Studies, UC Davis.
    4. Chieh-Hua Wen & Frank Koppelman, 2000. "A conceptual and methdological framework for the generation of activity-travel patterns," Transportation, Springer, vol. 27(1), pages 5-23, February.
    5. David Hensher & April Reyes, 2000. "Trip chaining as a barrier to the propensity to use public transport," Transportation, Springer, vol. 27(4), pages 341-361, December.
    6. Wen, Chieh-Hua & Koppelman, Frank S., 2001. "The generalized nested logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 627-641, August.
    7. Sakano, Ryoichi & Benjamin, Julian, 2011. "A structural model of mode-activity choice: The case of commuter rail in a medium-size metropolitan area," Transport Policy, Elsevier, vol. 18(2), pages 434-445, March.
    8. Krygsman, Stephan & Arentze, Theo & Timmermans, Harry, 2007. "Capturing tour mode and activity choice interdependencies: A co-evolutionary logit modelling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 913-933, December.
    9. Xing, Yan & Handy, Susan L. & Mokhtarian, Patricia L., 2010. "Factors Associated with Proportions and Miles of Bicycling for Transportation and Recreation in Six Small U.S. Cities," Institute of Transportation Studies, Working Paper Series qt74n4j1p0, Institute of Transportation Studies, UC Davis.
    10. Ortúzar, Juan de Dios & Iacobelli, Andrés & Valeze, Claudio, 2000. "Estimating demand for a cycle-way network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 353-373, June.
    11. Noland, Robert B & Kunreuther, Howard, 1995. "Short-run and long-run policies for increasing bicycle transportation for daily commuter trips," Transport Policy, Elsevier, vol. 2(1), pages 67-79, January.
    12. Bhat, Chandra R., 1997. "Work travel mode choice and number of non-work commute stops," Transportation Research Part B: Methodological, Elsevier, vol. 31(1), pages 41-54, February.
    13. Ye, Xin & Pendyala, Ram M. & Gottardi, Giovanni, 2007. "An exploration of the relationship between mode choice and complexity of trip chaining patterns," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 96-113, January.
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