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To be, or not to be ‘urban’? A multi-modal method for the differentiated measurement of the degree of urbanization

Taubenböck, Hannes und Droin, Ariane und Standfuß, Ines und Dosch, Fabian und Sander, Nikola und Milbert, Antonia und Eichfuss, Silas und Wurm, Michael (2022) To be, or not to be ‘urban’? A multi-modal method for the differentiated measurement of the degree of urbanization. Computers, Environment and Urban Systems, 95, Seiten 1-12. Elsevier. doi: 10.1016/j.compenvurbsys.2022.101830. ISSN 0198-9715.

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Offizielle URL: https://www.sciencedirect.com/science/article/pii/S0198971522000746

Kurzfassung

Today, 56.6% of the world’s population is urban and the trend is rising; in Germany, the urbanization process is almost complete at 80.3%. This is the ubiquitously used narrative. Surprisingly, the figures behind it are rarely questioned. The spatial statistics responsible for this meta-narrative are, however, prone to ambiguity. They suffer from a lack of systematic empirical justification, and from cross-national differences in cut-off values used to differentiate between urban and rural populations. In this study, we present an empirical approach that allows to systematically map urban and rural populations in a spatially and thematically differentiated manner using a multimodal method. On the one hand, we resort to the common approach of presenting the degree of urbanization in terms of population figures for administrative units. However, we do not only use the common national threshold value, but we project various national thresholds applied in different countries across the globe to classify multiple degrees of urbanization onto our study site Germany. On the other hand, we also calculate various degrees of urbanization at a higher spatial resolution using a regular grid. Beyond the common approach of calculating the degree of urbanization by population figures, we also apply at grid-level two additional variables: building density and the share of a certain building type. By systematically applying thresholds between minimum and maximum per variable, we trace the effects on the resulting degree of urbanization. These multiple perspectives lead us to propose that a range rather than a singular threshold allows us to estimate the degree of urbanization in a more differentiated way. To do so, we estimate the degree of urbanization for Germany on a probability-based basis. Therefore, we combine possible variants from the administrative approach using population figures and the grid-based approach using thresholds of population, building density and the share of a certain building type. Our results show that Germany can be considered urban by at least 50.0% up to possibly 68.1% of the population, which by no means comes near the reported 80.3%. We conclude that the results of the commonly used approach to quantify urban populations are not tenable in their clarity and should therefore be used only with caution. cacaution for political and societal decision-making

elib-URL des Eintrags:https://elib.dlr.de/187856/
Dokumentart:Zeitschriftenbeitrag
Titel:To be, or not to be ‘urban’? A multi-modal method for the differentiated measurement of the degree of urbanization
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Taubenböck, Hanneshannes.taubenboeck (at) dlr.dehttps://orcid.org/0000-0003-4360-9126NICHT SPEZIFIZIERT
Droin, ArianeAriane.Droin (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Standfuß, InesInes.Standfuss (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Dosch, Fabianfabian.dosch (at) bbr.bund.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Sander, NikolaNikola.Sander (at) bib.bund.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Milbert, AntoniaAntonia.Milbert (at) bbr.bund.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Eichfuss, SilasSilas.Eichfuss (at) bbr.bund.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Wurm, Michaelmichael.wurm (at) dlr.dehttps://orcid.org/0000-0001-5967-1894NICHT SPEZIFIZIERT
Datum:2022
Erschienen in:Computers, Environment and Urban Systems
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:95
DOI:10.1016/j.compenvurbsys.2022.101830
Seitenbereich:Seiten 1-12
Verlag:Elsevier
ISSN:0198-9715
Status:veröffentlicht
Stichwörter:Degree of urbanization Urban Rural Spatial statistics Building density Population densi
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Geowissenschaftl. Fernerkundungs- und GIS-Verfahren, R - Fernerkundung u. Geoforschung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Georisiken und zivile Sicherheit
Hinterlegt von: Taubenböck, Prof. Dr. Hannes
Hinterlegt am:22 Sep 2022 09:31
Letzte Änderung:28 Mär 2023 11:05

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