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Redefining Urban Centrality: Integrating Economic Complexity Indices into Central Place Theory

Author

Listed:
  • Hyoji Choi
  • Jonghyun Kim
  • Donghyeon Yu
  • Bogang Jun
  • Dongwoo Seo

Abstract

This study introduces a metric designed to measure urban structures through the economic complexity lens, building on the foundational theories of urban spatial structure, the Central Place Theory (CPT) (Christaller, 1933). Despite the significant contribution in the field of urban studies and geography, CPT has limited in suggesting an index that captures its key ideas. By analyzing various urban big data of Seoul, we demonstrate that PCI and ECI effectively identify the key ideas of CPT, capturing the spatial structure of a city that associated with the distribution of economic activities, infrastructure, and market orientation in line with the CPT. These metrics for urban centrality offer a modern approach to understanding the Central Place Theory and tool for urban planning and regional economic strategies without privacy issues.

Suggested Citation

  • Hyoji Choi & Jonghyun Kim & Donghyeon Yu & Bogang Jun & Dongwoo Seo, 2024. "Redefining Urban Centrality: Integrating Economic Complexity Indices into Central Place Theory," Papers in Evolutionary Economic Geography (PEEG) 2424, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jul 2024.
  • Handle: RePEc:egu:wpaper:2424
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    File URL: http://econ.geo.uu.nl/peeg/peeg2424.pdf
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    References listed on IDEAS

    as
    1. Alex Anas & Richard Arnott & Kenneth A. Small, 1998. "Urban Spatial Structure," Journal of Economic Literature, American Economic Association, vol. 36(3), pages 1426-1464, September.
    2. Gordon Mulligan & Mark Partridge & John Carruthers, 2012. "Central place theory and its reemergence in regional science," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(2), pages 405-431, April.
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    Keywords

    Complexity; CentralPlaceTheory; MarketBoundary;
    All these keywords.

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