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How buildings change the fundamental allometry

Author

Listed:
  • Fabiano L Ribeiro
  • Peiran Zhang
  • Liang Gao
  • Diego Rybski

Abstract

We demonstrate that the original fundamental allometry alone cannot accurately describe the relationship between urban area and population size. Instead, building height is a third factor that interplays with area and population. To illustrate this, we propose a straightforward model based on the idea that city area is the result of people’s desire to live close to one another while also having sufficient living space . This leads to a more general form of fundamental allometry (relating area, population, and building height). We support our theoretical analysis with an empirical examination of data from 32 countries. Our findings indicate that building height influences the residuals of the fundamental allometric relationship: cities with taller buildings generally fall below the regression curve of area versus population, while those with shorter buildings tend to be above it. This suggests that building height is not merely a natural outcome of our derivation but also extends beyond the fundamental allometry, playing an additional role in shaping urban structure.

Suggested Citation

  • Fabiano L Ribeiro & Peiran Zhang & Liang Gao & Diego Rybski, 2025. "How buildings change the fundamental allometry," Environment and Planning B, , vol. 52(9), pages 2301-2315, November.
  • Handle: RePEc:sae:envirb:v:52:y:2025:i:9:p:2301-2315
    DOI: 10.1177/23998083251332324
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    References listed on IDEAS

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    1. R'emi Lemoy & Geoffrey Caruso, 2017. "Scaling evidence of the homothetic nature of cities," Papers 1704.06508, arXiv.org.
    2. Geoffrey B. West & James H. Brown & Brian J. Enquist, 1997. "A General Model for the Origin of Allometric Scaling Laws in Biology," Working Papers 97-03-019, Santa Fe Institute.
    3. Haroldo V. Ribeiro & Diego Rybski & Jürgen P. Kropp, 2019. "Effects of changing population or density on urban carbon dioxide emissions," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    4. Pengjun Zhao & Hao Wang & Qiyang Liu & Xiao-Yong Yan & Jingzhong Li, 2024. "Author Correction: Unravelling the spatial directionality of urban mobility," Nature Communications, Nature, vol. 15(1), pages 1-1, December.
    5. repec:plo:pone00:0087902 is not listed on IDEAS
    6. Luís M A Bettencourt & José Lobo & Deborah Strumsky & Geoffrey B West, 2010. "Urban Scaling and Its Deviations: Revealing the Structure of Wealth, Innovation and Crime across Cities," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-9, November.
    7. Dominique Peeters & Geoffrey Caruso & Jean Cavailhès & Isabelle Thomas & Pierre Frankhauser & Gilles Vuidel, 2015. "Emergence Of Leapfrogging From Residential Choice With Endogenous Green Space: Analytical Results," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 491-512, June.
    8. Jayanth R. Banavar & Amos Maritan & Andrea Rinaldo, 1999. "Size and form in efficient transportation networks," Nature, Nature, vol. 399(6732), pages 130-132, May.
    9. Pengjun Zhao & Hao Wang & Qiyang Liu & Xiao-Yong Yan & Jingzhong Li, 2024. "Unravelling the spatial directionality of urban mobility," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
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