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A Comparative Study of the Robustness and Resilience of Retail Areas in Seoul, Korea before and after the COVID-19 Outbreak, Using Big Data

Author

Listed:
  • Dongjun Kim

    (Department of Urban Planning & Design, University of Seoul, Seoul 02504, Korea)

  • Jinsung Yun

    (Department of Urban Planning & Design, University of Seoul, Seoul 02504, Korea)

  • Kijung Kim

    (Senior Researcher, SH Urban Research Institute, Seoul Housing & Communities Corporation, Seoul 02504, Korea)

  • Seungil Lee

    (Department of Urban Planning & Design, University of Seoul, Seoul 02504, Korea)

Abstract

This study aimed to assess the robustness and resilience of retail areas in Seoul, based on the changes in sales before and after the COVID-19 outbreak. The spatial range and temporal scope of the study were set as district- and community-level retail areas in Seoul, from January 2019 to August 2020, to consider the effect of the COVID-19 outbreak. The data used in this study comprised sales information from the retail sector, namely Shinhan Card sales data for domestic and foreigners by business type in Seoul, provided by Seoul Big Data Campus. We classified the retail areas based on the change in sales before and after the COVID-19 outbreak, using time series clustering. The results of this study showed that time series clustering based on the change in sales can be used to classify retail areas. The similarities and differences were confirmed by comparing the functional and structural characteristics of the district- and community-level retail areas by cluster and by retail area type. Furthermore, we derived knowledge on the decline and recovery of retail areas before and after a national crisis such as the emergence of a COVID-19 wave, which can provide significant information for sustainable retail area management and regional economic development.

Suggested Citation

  • Dongjun Kim & Jinsung Yun & Kijung Kim & Seungil Lee, 2021. "A Comparative Study of the Robustness and Resilience of Retail Areas in Seoul, Korea before and after the COVID-19 Outbreak, Using Big Data," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3302-:d:518790
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    as
    1. Nilsson, Pia, 2016. "The influence of related and unrelated industry diversity on retail firm failure," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 219-227.
    2. Aarstad, Jarle & Kvitastein, Olav A. & Jakobsen, Stig-Erik, 2016. "Related and unrelated variety as regional drivers of enterprise productivity and innovation: A multilevel study," Research Policy, Elsevier, vol. 45(4), pages 844-856.
    3. Abid Mehmood, 2016. "Of resilient places: planning for urban resilience," European Planning Studies, Taylor & Francis Journals, vol. 24(2), pages 407-419, February.
    4. Carolina Castaldi & Koen Frenken & Bart Los, 2015. "Related Variety, Unrelated Variety and Technological Breakthroughs: An analysis of US State-Level Patenting," Regional Studies, Taylor & Francis Journals, vol. 49(5), pages 767-781, May.
    5. Koen Frenken & Frank Van Oort & Thijs Verburg, 2007. "Related Variety, Unrelated Variety and Regional Economic Growth," Regional Studies, Taylor & Francis Journals, vol. 41(5), pages 685-697.
    6. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(2), pages 109-110, August.
    7. Teller, Christoph & Reutterer, Thomas, 2008. "The evolving concept of retail attractiveness: What makes retail agglomerations attractive when customers shop at them?," Journal of Retailing and Consumer Services, Elsevier, vol. 15(3), pages 127-143.
    8. Frank M.H. Neffke & Martin Henning & Ron Boschma, 2012. "The impact of aging and technological relatedness on agglomeration externalities: a survival analysis," Journal of Economic Geography, Oxford University Press, vol. 12(2), pages 485-517, March.
    9. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(1), pages 1-2, May.
    10. Thomas C. Powell, 2001. "Competitive advantage: logical and philosophical considerations," Strategic Management Journal, Wiley Blackwell, vol. 22(9), pages 875-888, September.
    11. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    12. Rik Chakraborti & Gavin Roberts, 2020. "Anti-Gouging Laws, Shortages, and COVID-19: Insights from Consumer Searches," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 35(Winter 20), pages 1-20.
    13. Chen, Tianyi & Shi, Xiupeng & Wong, Yiik Diew, 2021. "A lane-changing risk profile analysis method based on time-series clustering," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    14. Giulio Cainelli & Donato Iacobucci, 2012. "Agglomeration, Related Variety, and Vertical Integration," Economic Geography, Taylor & Francis Journals, vol. 88(3), pages 255-277, July.
    15. Beaudry, Catherine & Schiffauerova, Andrea, 2009. "Who's right, Marshall or Jacobs? The localization versus urbanization debate," Research Policy, Elsevier, vol. 38(2), pages 318-337, March.
    16. Matthias Knecht, 2014. "Diversification, Industry Dynamism, and Economic Performance," Springer Books, Springer, edition 127, number 978-3-658-02677-6, October.
    17. Renáta Kosová & Francine Lafontaine, 2010. "Survival And Growth In Retail And Service Industries: Evidence From Franchised Chains," Journal of Industrial Economics, Wiley Blackwell, vol. 58(3), pages 542-578, September.
    18. D’Urso, Pierpaolo & Cappelli, Carmela & Di Lallo, Dario & Massari, Riccardo, 2013. "Clustering of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2114-2129.
    19. Niels Joachim Gormsen & Ralph S J Koijen & Nikolai Roussanov, 0. "Coronavirus: Impact on Stock Prices and Growth Expectations," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 574-597.
    20. Jizhou Huang & Haifeng Wang & Haoyi Xiong & Miao Fan & An Zhuo & Ying Li & Dejing Dou, 2020. "Quantifying the Economic Impact of COVID-19 in Mainland China Using Human Mobility Data," Papers 2005.03010, arXiv.org.
    21. Giulio Cainelli & Donato Iacobucci, 2012. "Agglomeration, Related Variety, and Vertical Integration," Economic Geography, Clark University, vol. 88(3), pages 255-277, July.
    22. Yoon, Heeyeun, 2018. "Interrelationships between retail clusters in different hierarchies, land value and property development: A panel VAR approach," Land Use Policy, Elsevier, vol. 78(C), pages 245-257.
    23. Anthony Howell & Canfei He & Rudai Yang & C. Cindy Fan, 2018. "Agglomeration, (un)‐related variety and new firm survival in China," Papers in Regional Science, Wiley Blackwell, vol. 97(3), pages 485-500, August.
    24. Ning, Ye & Han, Chenyu & Wang, Yiming, 2018. "The multifractal properties of Euro and Pound exchange rates and comparisons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 578-587.
    25. Padilla, Armando Ortuño & Blanco, Jairo Casares, 2020. "Shopping centre clusters: Competition or synergies? The case of the region of murcia (Spain)," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    26. Félix Iglesias & Wolfgang Kastner, 2013. "Analysis of Similarity Measures in Times Series Clustering for the Discovery of Building Energy Patterns," Energies, MDPI, vol. 6(2), pages 1-19, January.
    27. Montero, Pablo & Vilar, José A., 2014. "TSclust: An R Package for Time Series Clustering," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 62(i01).
    28. David Mowery, 2011. "Nanotechnology and the US national innovation system: continuity and change," The Journal of Technology Transfer, Springer, vol. 36(6), pages 697-711, December.
    29. Christophe Genolini & René Ecochard & Mamoun Benghezal & Tarak Driss & Sandrine Andrieu & Fabien Subtil, 2016. "kmlShape: An Efficient Method to Cluster Longitudinal Data (Time-Series) According to Their Shapes," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-24, June.
    30. Sam Tavassoli & Viroj Jienwatcharamongkhol, 2016. "Survival of entrepreneurial firms: the role of agglomeration externalities," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 28(9-10), pages 746-767, October.
    31. Mark D. Partridge & Dan S. Rickman, 1999. "Static and Dynamic Externalities, Industry Composition, and State Labor Productivity: A Panel Study of States," Southern Economic Journal, John Wiley & Sons, vol. 66(2), pages 319-335, October.
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    1. Boine Kim & Byoung-Goo Kim, 2023. "An Explorative Study of Resilience Influence on Business Performance of Korean Manufacturing Venture Enterprise," Sustainability, MDPI, vol. 15(9), pages 1-14, April.

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