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Measuring Bifurcation Points in Choice Behavior: Principles and Illustration

Author

Listed:
  • Donggen Wang

    (Department of Geography, Hong Kong Baptist University, Kowloon Tong, Hong Kong)

  • Jiukun Li

    (Department of Geography, Hong Kong Babtist University, Kowloon Tong, Hong Kong, and Department of Management Engineering, Shenyang Architectural and Civil Engineering Institute, People's Republic of China)

  • Harry Timmermans

    (Urban Planning Group, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands)

Abstract

This paper suggests a new stated adaptation response format to measure bifurcation points in choice behavior. The method assumes that individuals attach bifurcation points to critical attributes beyond which they change their behavior. Fibonacci numbers are used to identify these bifurcation points efficiently. The resulting data are analyzed using hazard models. The suggested new methodology is illustrated for a sample of 335 travellers who were about to travel by train from Hong Kong to Guangzhou. Respondents were asked to state whether they would retain the choice of train if the travel cost by train were increased by certain amounts, varied according to the Fibonacci principle. Experience with the implementation of the suggested methodology showed that most respondents found the experiment quite interesting. We were able to identify successfully the bifurcation point for all respondents who agreed to participate in the exercise. It took each respondent only a few minutes. The method was thus proved to be effective and efficient. By and large, the estimated coefficients seem consistent with findings elsewhere and in the anticipated direction. This suggests that the data collected by the proposed methodology have face validity.

Suggested Citation

  • Donggen Wang & Jiukun Li & Harry Timmermans, 2004. "Measuring Bifurcation Points in Choice Behavior: Principles and Illustration," Environment and Planning A, , vol. 36(6), pages 1125-1138, June.
  • Handle: RePEc:sae:envira:v:36:y:2004:i:6:p:1125-1138
    DOI: 10.1068/a3633
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    References listed on IDEAS

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    1. Donggen Wang & Si-Ming Li, 2004. "Housing Preferences in a Transitional Housing System: The Case of Beijing, China," Environment and Planning A, , vol. 36(1), pages 69-87, January.
    2. Hutchinson, J Wesley & Kamakura, Wagner A & Lynch, John G, Jr, 2000. "Unobserved Heterogeneity as an Alternative Explanation for "Reversal" Effects in Behavioral Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(3), pages 324-344, December.
    3. Huang, Ju-Chin & Haab, Timothy C. & Whitehead, John C., 1997. "Willingness to Pay for Quality Improvements: Should Revealed and Stated Preference Data Be Combined?," Journal of Environmental Economics and Management, Elsevier, vol. 34(3), pages 240-255, November.
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