IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v36y2009i2p262-278.html
   My bibliography  Save this article

The Impact of Geographic Context on E-Shopping Behavior

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b34014t
    Download Restriction: no

    File URL: https://libkey.io/10.1068/b34014t?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Farag, Sendy & Schwanen, Tim & Dijst, Martin & Faber, Jan, 2007. "Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 125-141, February.
    2. anonymous, 2002. "Focus on Authors," Marketing Science, INFORMS, vol. 21(4), pages 476-477.
    3. repec:cdl:uctcwp:qt4rx589m0 is not listed on IDEAS
    4. repec:cdl:itsdav:qt4hg365gh is not listed on IDEAS
    5. Kwan, Mei-Po & Dijst, Martin & Schwanen, Tim, 2007. "The interaction between ICT and human activity-travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 121-124, February.
    6. Gould, Jane & Golob, Thomas F., 1997. "Shopping Without Travel or Travel Without Shopping? An Investigation of Electronic Home Shopping," University of California Transportation Center, Working Papers qt6vc504h9, University of California Transportation Center.
    7. Bagley, Michael N. & Mokhtarian, Patricia L., 1997. "Analyzing the preference for non-exclusive forms of telecommuting: Modeling and policy implications," University of California Transportation Center, Working Papers qt7200521q, University of California Transportation Center.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. repec:cdl:itsdav:qt03v2q5b7 is not listed on IDEAS
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ren, Fang & Kwan, Mei-Po, 2009. "The impact of the Internet on human activity–travel patterns: analysis of gender differences using multi-group structural equation models," Journal of Transport Geography, Elsevier, vol. 17(6), pages 440-450.
    2. Amalia Polydoropoulou & Athena Tsirimpa, 2012. "Women’s Time Use with ICT and Physical Travel in Greek Urban and Rural Areas," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 62(1-2), pages 72-91, January -.
    3. Rotem-Mindali, Orit, 2010. "E-tail versus retail: The effects on shopping related travel empirical evidence from Israel," Transport Policy, Elsevier, vol. 17(5), pages 312-322, September.
    4. Tri Basuki Joewono & Ari K. M. Tarigan & Muhamad Rizki, 2019. "Segmentation, Classification, and Determinants of In-Store Shopping Activity and Travel Behaviour in the Digitalisation Era: The Context of a Developing Country," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
    5. 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.
    6. Xu, Lu & Saphores, Jean-Daniel, 2024. "Does e-shopping impact household travel? Evidence from the 2017 U.S. NHTS," Journal of Transport Geography, Elsevier, vol. 115(C).
    7. Esra Suel & Nicolò Daina & John W. Polak, 2018. "A hazard-based approach to modelling the effects of online shopping on intershopping duration," Transportation, Springer, vol. 45(2), pages 415-428, March.
    8. van Wee, Bert & Bohte, Wendy & Molin, Eric & Arentze, Theo & Liao, Feixiong, 2014. "Policies for synchronization in the transport–land-use system," Transport Policy, Elsevier, vol. 31(C), pages 1-9.
    9. Samani, Ali Riahi & Talebian, Ahmadreza & Mishra, Sabyasachee & Golias, Mihalis, 2025. "Evaluating consumer shopping, delivery demands, and last-mile preferences: An integrated MDCEV-HCM approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 197(C).
    10. Jesse W J Weltevreden & Ton van Rietbergen, 2009. "The Implications of E-Shopping for in-Store Shopping at Various Shopping Locations in the Netherlands," Environment and Planning B, , vol. 36(2), pages 279-299, April.
    11. Calderwood, Eric & Freathy, Paul, 2014. "Consumer mobility in the Scottish isles: The impact of internet adoption upon retail travel patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 192-203.
    12. Aguiléra, Anne & Guillot, Caroline & Rallet, Alain, 2012. "Mobile ICTs and physical mobility: Review and research agenda," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 664-672.
    13. 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.
    14. Nina Angelovska & Julijana Angelovska, 2024. "Predictors of the Likelihood of Continuous Usage of Online Shopping Post-COVID-19," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 846-876, December.
    15. Sheng, Lu & Wu, Xiao & He, Yan, 2023. "Impact of residential relocation on activity-travel behaviors between household couples: A case study of Kunming, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    16. Golob, Thomas F., 2000. "A simultaneous model of household activity participation and trip chain generation," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 355-376, June.
    17. Bounie, Nathan & Adoue, François & Koning, Martin & L'Hostis, Alain, 2019. "What value do travelers put on connectivity to mobile phone and Internet networks in public transport? Empirical evidence from the Paris region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 158-177.
    18. Beckers, Joris & Cárdenas, Ivan & Verhetsel, Ann, 2018. "Identifying the geography of online shopping adoption in Belgium," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 33-41.
    19. Wei-Lun Huang & Peng Hu & Sophia Tsai & Xi-Ding Chen, 2021. "The business analysis on the home-bias of E-commerce consumer behavior," Electronic Commerce Research, Springer, vol. 21(3), pages 855-879, September.
    20. Ravula, Prashanth & Bhatnagar, Amit & Ghose, Sanjoy, 2020. "Antecedents and consequences of cross-effects: An empirical analysis of omni-coupons," International Journal of Research in Marketing, Elsevier, vol. 37(2), pages 405-420.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:36:y:2009:i:2:p:262-278. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.