SSOAR Logo
    • Deutsch
    • English
  • Deutsch 
    • Deutsch
    • English
  • Einloggen
SSOAR ▼
  • Home
  • Über SSOAR
  • Leitlinien
  • Veröffentlichen auf SSOAR
  • Kooperieren mit SSOAR
    • Kooperationsmodelle
    • Ablieferungswege und Formate
    • Projekte
  • Kooperationspartner
    • Informationen zu Kooperationspartnern
  • Informationen
    • Möglichkeiten für den Grünen Weg
    • Vergabe von Nutzungslizenzen
    • Informationsmaterial zum Download
  • Betriebskonzept
Browsen und suchen Dokument hinzufügen OAI-PMH-Schnittstelle
JavaScript is disabled for your browser. Some features of this site may not work without it.

Download PDF
Volltext herunterladen

(externe Quelle)

Zitationshinweis

Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):
https://doi.org/10.17645/up.v6i3.4099

Export für Ihre Literaturverwaltung

Bibtex-Export
Endnote-Export

Statistiken anzeigen
Weiterempfehlen
  • Share via E-Mail E-Mail
  • Share via Facebook Facebook
  • Share via Bluesky Bluesky
  • Share via Reddit reddit
  • Share via Linkedin LinkedIn
  • Share via XING XING

Urbanization Patterns around the North Sea: Long-Term Population Dynamics, 1300-2015

[Zeitschriftenartikel]

Mil, Yvonne van
Rutte, Reinout

Abstract

Around the North Sea, how have port cities and cities in the hinterlands of port cities influenced one another in the past? What possible links are there between population trends in various urban areas and time periods? Is it possible to identify the origin of the urbanization patterns around the N... mehr

Around the North Sea, how have port cities and cities in the hinterlands of port cities influenced one another in the past? What possible links are there between population trends in various urban areas and time periods? Is it possible to identify the origin of the urbanization patterns around the North Sea? To understand the current era of urbanization, we need to analyze historical trends and urbanization patterns in the long term. By mapping the population figures for eight moments in history and combining this with data on political boundaries and large infrastructures that facilitate flows of goods and people, this article aims to contribute to an improved understanding of contemporary and historical urbanization trends around the North Sea. It also presents the first spatial dataset on urban settlements around the North Sea by means of a series of demographic maps, from 1300 to 2015. It provides a detailed explanation of the method used for mapping and handling demographical data. Each map is accompanied by a brief explanation of the urbanization pattern, with special attention to identifying demographic and economic developments and possible clarifications for centers of gravity and shifts. The maps lay the foundation for further research on social patterns and spatial developments in urban (port) regions around the North Sea and for understanding urban culture through space and time. Port cities must be analyzed from the perspective of the sea, which requires a rethinking of data sets and data borders, to understand the ways in which these port cities have served as porous distribution hubs and as transit nodes for boundary-crossing flows.... weniger

Klassifikation
Raumplanung und Regionalforschung

Freie Schlagwörter
North Sea region; demography; geo-spatial mapping; infrastructure; political boundaries; population numbers; port cities; urbanization patterns

Sprache Dokument
Englisch

Publikationsjahr
2021

Seitenangabe
S. 10-26

Zeitschriftentitel
Urban Planning, 6 (2021) 3

Heftthema
Planning for Porosity: Exploring Port City Development through the Lens of Boundaries and Flows

ISSN
2183-7635

Status
Veröffentlichungsversion; begutachtet (peer reviewed)

Lizenz
Creative Commons - Namensnennung 4.0


GESIS LogoDFG LogoOpen Access Logo
Home  |  Impressum  |  Betriebskonzept  |  Datenschutzerklärung
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.
 

 


GESIS LogoDFG LogoOpen Access Logo
Home  |  Impressum  |  Betriebskonzept  |  Datenschutzerklärung
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.