Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Indication of long-range correlations governing city size

Li, Y., Ural, D., Kantelhardt, J. W., Rybski, D. (2024): Indication of long-range correlations governing city size. - PNAS Nexus, 3, 9, pgae329.
https://doi.org/10.1093/pnasnexus/pgae329

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
pgae329.pdf (Verlagsversion), 6MB
Name:
pgae329.pdf
Beschreibung:
-
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Li, Yunfei1, Autor              
Ural, Deniz1, Autor              
Kantelhardt, Jan W.2, Autor
Rybski, Diego2, Autor
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: 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.

Details

einblenden:
ausblenden:
Sprache(n): eng - Englisch
 Datum: 2024-04-082024-07-292024-08-092024-09-09
 Publikationsstatus: Final veröffentlicht
 Seiten: 9
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: PIKDOMAIN: RD2 - Climate Resilience
Organisational keyword: RD2 - Climate Resilience
Working Group: Urban Transformations
MDB-ID: No data to archive
Regional keyword: Europe
Model / method: Quantitative Methods
Research topic keyword: Cities
Research topic keyword: Complex Networks
Research topic keyword: Land use
MDB-ID: pending
OATYPE: Gold Open Access
DOI: 10.1093/pnasnexus/pgae329
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: PNAS Nexus
Genre der Quelle: Zeitschrift, other, oa
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 3 (9) Artikelnummer: pgae329 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/2752-6542
Publisher: Oxford University Press