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Enhancing stated preference surveys in transportation research: the contribution of geographic information systems

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  • Ikuho Yamada
  • Jean-Claude Thill

Abstract

In this paper we argue that visualization, data management and computational capabilities of geographic information systems (GIS) can assist transportation stated preference research in capturing the contextual complexity of many transportation decision environments by providing respondents with maps and other spatial and non-spatial information in graphical form that enhance respondents' understanding of decision scenarios. We explore the multiple inherent contributions of GIS to transportation stated preference data collection and propose a framework for a GIS-based stated preference survey instrument. We also present the design concepts of two survey prototypes and their GIS implementation for a sample travel mode choice problem.

Suggested Citation

  • Ikuho Yamada & Jean-Claude Thill, 2003. "Enhancing stated preference surveys in transportation research: the contribution of geographic information systems," Transportation Planning and Technology, Taylor & Francis Journals, vol. 26(5), pages 377-396, October.
    • Handle: RePEc:taf:transp:v:26:y:2003:i:5:p:377-396
    DOI: 10.1080/03081060310001635850
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    Cited by:

    1. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    2. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.
    3. Holland, Benedict M. & Johnston, Robert J., 2014. "Spatially-Referenced Choice Experiments: Tests of Individualized Geocoding in Stated Preference Questionnaires," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170191, Agricultural and Applied Economics Association.

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