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The Impact of Geographic Context on E-Shopping Behavior

Author

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  • Fang Ren

    (MS GIS Program, University of Redlands, Redlands, CA 92373, USA)

  • Mei-Po Kwan

    (Department of Geography, Ohio State University, Columbus, OH 43210-1361, USA)

Abstract

Recent studies have examined what factors affect the adoption of e-shopping (electronic shopping), why people adopt e-shopping, and what changes in activity–travel patterns will occur as a response to e-shopping. Very few studies to date, however, have investigated the impact of geographic context on people's e-shopping behavior. This study reexamines the explanatory factors that are related to people's e-shopping patterns through a study of the Columbus Metropolitan Area, OH. It focuses on the effect of accessibility to local shops and the residential context on the adoption of e-shopping and the frequency of buying online. Using an activity–Internet diary dataset, the results suggest that people with lower levels of accessibility to local shopping opportunities are more likely to engage in e-shopping, since the Internet enhances the efficiency of shopping by providing more product information and by eliminating the need of travel in the physical world. Further, people who live in areas with a white majority are more likely to adopt e-shopping. The magnitude of the impact of these context factors on e-shopping, however, is quite small.

Suggested Citation

  • Fang Ren & Mei-Po Kwan, 2009. "The Impact of Geographic Context on E-Shopping Behavior," Environment and Planning B, , vol. 36(2), pages 262-278, April.
    • Handle: RePEc:sae:envirb:v:36:y:2009:i:2:p:262-278
    DOI: 10.1068/b34014t
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    References listed on IDEAS

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    Cited by:

    1. Zhen, Feng & Du, Xiaojuan & Cao, Jason & Mokhtarian, Patricia L., 2018. "The association between spatial attributes and e-shopping in the shopping process for search goods and experience goods: Evidence from Nanjing," Journal of Transport Geography, Elsevier, vol. 66(C), pages 291-299.
    2. Lee, Richard J. & Sener, Ipek N. & Mokhtarian, Patricia L. & Handy, Susan L., 2017. "Relationships between the online and in-store shopping frequency of Davis, California residents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 40-52.
    3. Patricia L. Mokhtarian & Wei (Laura) Tang, 2013. "Trivariate probit models of pre-purchase/purchase shopping channel choice: clothing purchases in Northern California," Chapters, in: Stephane Hess & Andrew Daly (ed.), Choice Modelling, chapter 12, pages 243-273, Edward Elgar Publishing.
    4. Shi, Kunbo & De Vos, Jonas & Yang, Yongchun & Witlox, Frank, 2019. "Does e-shopping replace shopping trips? Empirical evidence from Chengdu, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 21-33.
    5. Zhou, Yiwei & Wang, Xiaokun (Cara), 2014. "Explore the relationship between online shopping and shopping trips: An analysis with the 2009 NHTS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 1-9.

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