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The association between spatial attributes and e-shopping in the shopping process for search goods and experience goods: Evidence from Nanjing

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  • Zhen, Feng
  • Du, Xiaojuan
  • Cao, Jason
  • Mokhtarian, Patricia L.

Abstract

The proliferation of e-shopping has implications for shopping travel and commercial land use. Using data collected from adult internet users in Nanjing, China in 2015, this study develops trivariate probit models to explore the influence of spatial attributes on shopping channel choices at the pre-purchase and purchase stages in the shopping process for both search goods (books) and experience goods (clothing). We find that those who live and work in suburban areas are more likely than others to shop at traditional stores to conduct pre-purchase and purchase activities for books and clothing, likely because of the slow diffusion of e-shopping in these areas. On the other hand, travel time to stores is positively associated with online shopping for books but not for clothing, and onerous travel modes are associated with pre-purchase activities on the internet. Thus, shopping accessibility negatively affects e-shopping. However, its effects vary by shopping stage and product type.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jotrge:v:66:y:2018:i:c:p:291-299
    DOI: 10.1016/j.jtrangeo.2017.11.007
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    7. Mischa Young & Jaime Soza‐Parra & Giovanni Circella, 2022. "The increase in online shopping during COVID‐19: Who is responsible, will it last, and what does it mean for cities?," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S1), pages 162-178, November.
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    10. Shao, Rui & Derudder, Ben & Witlox, Frank, 2022. "The geography of e-shopping in China: On the role of physical and virtual accessibility," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    11. Figliozzi, Miguel & Unnikrishnan, Avinash, 2021. "Exploring the impact of socio-demographic characteristics, health concerns, and product type on home delivery rates and expenditures during a strict COVID-19 lockdown period: A case study from Portlan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 1-19.
    12. Shi, Kunbo & Shao, Rui & De Vos, Jonas & Cheng, Long & Witlox, Frank, 2021. "Is e-shopping likely to reduce shopping trips for car owners? A propensity score matching analysis," Journal of Transport Geography, Elsevier, vol. 95(C).
    13. Mateos-Mínguez, Paloma & Arranz-López, Aldo & Soria-Lara, Julio A. & Lanzendorf, Martin, 2021. "E-shoppers and multimodal accessibility to in-store retail: An analysis of spatial and social effects," Journal of Transport Geography, Elsevier, vol. 96(C).
    14. Shi, Yishao & Tao, Tianhui & Cao, Xiangyang & Pei, Xiaowen, 2021. "The association between spatial attributes and neighborhood characteristics based on Meituan take-out data: Evidence from shanghai business circles," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    15. Tao, Tao & Cao, Jason, 2022. "Examining motivations for owning autonomous vehicles: Implications for land use and transportation," Journal of Transport Geography, Elsevier, vol. 102(C).
    16. Zhouying Song, 2022. "The geography of online shopping in China and its key drivers," Environment and Planning B, , vol. 49(1), pages 259-274, January.
    17. Mouratidis, Kostas & Peters, Sebastian, 2022. "COVID-19 impact on teleactivities: Role of built environment and implications for mobility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 251-270.
    18. Arranz-López, Aldo & Blitz, Andreas & Elizondo-Candanedo, Raúl F. & Lanzendorf, Martin, 2024. "The connections between e-shopping and sustainable transport choices – Comparing urban and rural environments," Journal of Transport Geography, Elsevier, vol. 117(C).
    19. Jing Chen & Yong Zhang & Shiyao Zhu & Lei Liu, 2021. "Does COVID-19 Affect the Behavior of Buying Fresh Food? Evidence from Wuhan, China," IJERPH, MDPI, vol. 18(9), pages 1-15, April.
    20. Ma, Bohao & Adam, Shahdzah Wati Binte & Teo, Chee-Chong & Wong, Yiik Diew, 2024. "How do consumers’ fashion lifestyles differentiate their logistics preferences for fashion products?," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    21. Liu, Na & Li, Jing, 2024. "The time code of online consumption: Exploring the impact of work hours on online consumption in the retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    22. 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.

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