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Accessibility, network structure, and consumers’ destination choice: a GIS analysis of GPS travel data

Author

Listed:
  • Arthur Huang
  • David Levinson

    () (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Abstract

Anecdotal and empirical evidence has shown that road networks, destination accessibility, and travelers' choice of destination are closely related. Nevertheless, there have not been systematic investigations linking individuals' travel behavior and retail clusters at the microscopic level. Based on GPS travel data in the Twin Cities, this paper analyzes the impacts of travelers' interactions with road network structure and clustering of services at the destination on travelers' destination choice. A multinomial logit model is adopted. The results reveal that higher accessibility and diversity of services in adjacent zones of a destination are associated with greater attractiveness of a destination. Further, the diversity and accessibility of establishments in an area are often highly correlated. In terms of network structure, a destination with a more circuitous or discontinuous route dampens its appeal. Answering where and why people choose to patronize certain places, our planning, our findings shed light on the design of road networks and clusters from a travel behavior perspective.

Suggested Citation

  • Arthur Huang & David Levinson, 2011. "Accessibility, network structure, and consumers’ destination choice: a GIS analysis of GPS travel data," Working Papers 000095, University of Minnesota: Nexus Research Group.
  • Handle: RePEc:nex:wpaper:retaildestinations
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    File URL: http://hdl.handle.net/11299/180058
    File Function: first version, 2011
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    Cited by:

    1. Paul Anderson & David Levinson & Pavithra Parthasarathi, 2011. "Accessibility Futures," Working Papers 000088, University of Minnesota: Nexus Research Group.

    More about this item

    Keywords

    travel behavior; destination choice; accessibility; GIS analysis; GPS travel data; road networks;

    JEL classification:

    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure

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