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Uncovering inequality through multifractality of land prices: 1912 and contemporary Kyoto

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  • Hadrien Salat
  • Roberto Murcio
  • Keiji Yano
  • Elsa Arcaute

Abstract

Multifractal analysis offers a number of advantages to measure spatial economic segregation and inequality, as it is free of categories and boundaries definition problems and is insensitive to some shape-preserving changes in the variable distribution. We use two datasets describing Kyoto land prices in 1912 and 2012 and derive city models from this data to show that multifractal analysis is suitable to describe the heterogeneity of land prices. We found in particular a sharp decrease in multifractality, characteristic of homogenisation, between older Kyoto and present Kyoto, and similarities both between present Kyoto and present London, and between Kyoto and Manhattan as they were a century ago. In addition, we enlighten the preponderance of spatial distribution over variable distribution in shaping the multifractal spectrum. The results were tested against the classical segregation and inequality indicators, and found to offer an improvement over those.

Suggested Citation

  • Hadrien Salat & Roberto Murcio & Keiji Yano & Elsa Arcaute, 2018. "Uncovering inequality through multifractality of land prices: 1912 and contemporary Kyoto," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-19, April.
    • Handle: RePEc:plo:pone00:0196737
    DOI: 10.1371/journal.pone.0196737
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    Cited by:

    1. Janka Lengyel & Stéphane Roux & François Sémécurbe & Stéphane Jaffard & Patrice Abry, 2023. "Roughness and intermittency within metropolitan regions - Application in three French conurbations," Environment and Planning B, , vol. 50(3), pages 600-620, March.
    2. Neelakshi, J. & Rosa, Reinaldo R. & Savio, Siomel & Stephany, Stephan & de Meneses, Francisco C. & Kherani, Esfhan Alam & Muralikrishna, P., 2022. "Multifractal characteristics of the low latitude equatorial ionospheric E–F valley region irregularities," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    3. Hadrien Salat & Dustin Carlino & Fernando Benitez-Paez & Anna Zanchetta & Daniel Arribas-Bel & Mark Birkin, 2023. "Synthetic population Catalyst: A micro-simulated population of England with circadian activities," Environment and Planning B, , vol. 50(8), pages 2309-2316, October.
    4. Yuqing Long & Yanguang Chen & Yajing Li, 2023. "Multifractal scaling analyses of the spatial diffusion pattern of COVID-19 pandemic in Chinese mainland," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.

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