IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2407.20587.html
   My bibliography  Save this paper

Close to Home: Analyzing Urban Consumer Behavior and Consumption Space in Seoul

Author

Listed:
  • Hyoji Choi
  • Frank Neffke
  • Donghyeon Yu
  • Bogang Jun

Abstract

This study explores how the relatedness density of amenities influences consumer buying patterns, focusing on multi-purpose shopping preferences. Using Seoul's credit card data from 2018 to 2023, we find a clear preference for shopping at amenities close to consumers' residences, particularly for trips within a 2 km radius, where relatedness density significantly influences purchasing decisions. The COVID-19 pandemic initially reduced this effect at shorter distances but rebounded in 2023, suggesting a resilient return to pre-pandemic patterns, which vary over regions. Our findings highlight the resilience of local shopping preferences despite economic disruptions, underscoring the importance of amenity-relatedness in urban consumer behavior.

Suggested Citation

  • Hyoji Choi & Frank Neffke & Donghyeon Yu & Bogang Jun, 2024. "Close to Home: Analyzing Urban Consumer Behavior and Consumption Space in Seoul," Papers 2407.20587, arXiv.org.
    • Handle: RePEc:arx:papers:2407.20587
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2407.20587
    File Function: Latest version
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:2407.20587. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.