Indication of long-range correlations governing city size

City systems are characterized by the functional organization of cities on a regional or country scale. While there is a relatively good empirical and theoretical understanding of city size distributions, insights about their spatial organization remain on a conceptual level. Here, we analyze empirically the correlations between the sizes of cities (in terms of area) across long distances. Therefore, we (i) define city clusters, (ii) obtain the neighborhood network from Voronoi cells, and (iii) apply a fluctuation analysis along all shortest paths. We find that most European countries exhibit long-range correlations but in several cases these are anti-correlations. In an analogous way, we study a model inspired by Central Places Theory and find that it leads to positive long-range correlations, unless there is strong additional spatial disorder-contrary to intuition. We conclude that the interactions between cities extend over large distances reaching the country scale. Our findings have policy relevance as urban development or decline can affect cities at a considerable distance.

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Publication Details

Journal
PNAS Nexus
Published
2024-08-09
DOI
https://doi.org/10.1093/pnasnexus/pgae329
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Indication of long-range correlations governing city size

Diego Rybski, Deniz Ural, Jan W. Kantelhardt, Yunfei Li
PNAS Nexus
Complex Systems and Time Series Analysis
article

Indication of long-range correlations governing city size

Diego Rybski, Deniz Ural, Jan W. Kantelhardt, Yunfei Li
article en

Abstract

City systems are characterized by the functional organization of cities on a regional or country scale. While there is a relatively good empirical and theoretical understanding of city size distributions, insights about their spatial organization remain on a conceptual level. Here, we analyze empirically the correlations between the sizes of cities (in terms of area) across long distances. Therefore, we (i) define city clusters, (ii) obtain the neighborhood network from Voronoi cells, and (iii) apply a fluctuation analysis along all shortest paths. We find that most European countries exhibit long-range correlations but in several cases these are anti-correlations. In an analogous way, we study a model inspired by Central Places Theory and find that it leads to positive long-range correlations, unless there is strong additional spatial disorder-contrary to intuition. We conclude that the interactions between cities extend over large distances reaching the country scale. Our findings have policy relevance as urban development or decline can affect cities at a considerable distance.

PNAS NexusVol. 3(9)
Wuppertal Institute for Climate, Environment and Energy (DE), Leibniz Association (DE), Complexity Science Hub (AT), Leibniz Institute of Ecological Urban and Regional Development (DE), Potsdam Institute for Climate Impact Research (DE), Martin Luther University Halle-Wittenberg (DE)
Alexander von Humboldt-Stiftung, Deutsche Forschungsgemeinschaft
Sustainable cities and communities
Openalex Percentile: Top 84%
Complex Systems and Time Series Analysis
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Indication of long-range correlations governing city size — Diego Rybski, Deniz Ural, et al. · PNAS Nexus (2024) | TGRS Research Map | TGRS