date: 2024-09-20T10:06:19Z pdf:PDFVersion: 1.6 pdf:docinfo:title: Indication of long-range correlations governing city size xmp:CreatorTool: Servigistics Arbortext Advanced Print Publisher 11.1.4546/W-x64 access_permission:can_print_degraded: true subject: DOI: 10.1093/pnasnexus/pgae329; PNAS Nexus, 3, 9, 2024-08-09.; 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. dc:format: application/pdf; version=1.6 pdf:docinfo:creator_tool: Servigistics Arbortext Advanced Print Publisher 11.1.4546/W-x64 access_permission:fill_in_form: true pdf:encrypted: false dc:title: Indication of long-range correlations governing city size modified: 2024-09-20T10:06:19Z cp:subject: DOI: 10.1093/pnasnexus/pgae329; PNAS Nexus, 3, 9, 2024-08-09.; 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. pdf:docinfo:subject: DOI: 10.1093/pnasnexus/pgae329; PNAS Nexus, 3, 9, 2024-08-09.; 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. pdf:docinfo:creator: Yunfei Li meta:author: Deniz Ural meta:creation-date: 2024-09-04T09:20:00Z created: Wed Sep 04 11:20:00 CEST 2024 access_permission:extract_for_accessibility: true Creation-Date: 2024-09-04T09:20:00Z Author: Deniz Ural producer: PDFlib+PDI 9.0.7p3 (C++/Win64); modified using iTextSharp 4.1.6 by 1T3XT pdf:docinfo:producer: PDFlib+PDI 9.0.7p3 (C++/Win64); modified using iTextSharp 4.1.6 by 1T3XT pdf:docinfo:custom:EPSprocessor: PStill version 1.84.42 dc:description: DOI: 10.1093/pnasnexus/pgae329; PNAS Nexus, 3, 9, 2024-08-09.; 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. Keywords: city size; long-range correlations; spatial network; regional development access_permission:modify_annotations: true dc:creator: Deniz Ural description: DOI: 10.1093/pnasnexus/pgae329; PNAS Nexus, 3, 9, 2024-08-09.; 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. dcterms:created: 2024-09-04T09:20:00Z Last-Modified: 2024-09-20T10:06:19Z dcterms:modified: 2024-09-20T10:06:19Z title: Indication of long-range correlations governing city size xmpMM:DocumentID: uuid:E5CEC966-CCE6-5CCA-B838-EA4526CAAF6F Last-Save-Date: 2024-09-20T10:06:19Z pdf:docinfo:keywords: city size; long-range correlations; spatial network; regional development pdf:docinfo:modified: 2024-09-20T10:06:19Z meta:save-date: 2024-09-20T10:06:19Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Deniz Ural EPSprocessor: PStill version 1.84.42 dc:subject: city size; long-range correlations; spatial network; regional development access_permission:assemble_document: true xmpTPg:NPages: 9 access_permission:extract_content: true access_permission:can_print: true meta:keyword: city size; long-range correlations; spatial network; regional development access_permission:can_modify: true pdf:docinfo:created: 2024-09-04T09:20:00Z