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Measuring morphological polycentricity - A comparative analysis of urban mass concentrations using remote sensing data

Taubenböck, Hannes and Standfuß, Ines and Wurm, Michael and Krehl, Angelika and Siedentop, Stefan (2017) Measuring morphological polycentricity - A comparative analysis of urban mass concentrations using remote sensing data. Computers, Environment and Urban Systems, 64, pp. 42-56. Elsevier. DOI: 10.1016/j.compenvurbsys.2017.01.005 ISSN 0198-9715

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Official URL: http://www.sciencedirect.com/science/article/pii/S0198971517300479

Abstract

Polycentricity belongs to the most versatile and fuzzy concepts in urban geography. It basically points to the ex-istence of more than one center within a conurbation. Previous studies have mostly referred to the spatial distri-bution of employment density for (sub-) center identification. In contrast, our study draws on large area 3D building models derived from ubiquitous remote sensing data. We use stereoscopic Cartosat-1 digital surface models in combination with building footprints. These geoinformation reflect the spatial configuration of the built dimension and allow a physical approach to the concept of polycentricity. For (sub-) center identification we thoroughly analyze conceptually different kinds of threshold approaches (global, region-specific and dis-tance-based) applied to concentrations of urban masses. After evaluating the advantages and disadvantages of the threshold approaches applied, we combine these methods to overcome their individual shortcomings. Last but not least, we establish a framework consisting of mapping techniques and site- and non-site specific statistics to evaluate polycentricity at fine-grained spatial intra-urban scale. In general we find that urban mass concentra-tions are a reasonable proxy for commonly used employment density data. We address the polycentricity issue across four German city regions—Frankfurt, Cologne, Stuttgart and Munich—and we find all of them to still be morphologically dominated by their core cities. Nevertheless, our analysis reveals striking differences of the urban spatial structure highlighting a rather monocentric pattern in the Munich region on the one hand, and a polycentric-dispersed distribution of urban mass concentrations in the Stuttgart region on the other hand.

Item URL in elib:https://elib.dlr.de/111038/
Document Type:Article
Title:Measuring morphological polycentricity - A comparative analysis of urban mass concentrations using remote sensing data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Taubenböck, Hanneshannes.taubenboeck (at) dlr.deUNSPECIFIED
Standfuß, InesInes.Standfuss (at) dlr.deUNSPECIFIED
Wurm, Michaelmichael.wurm (at) dlr.deUNSPECIFIED
Krehl, Angelikails dortmundUNSPECIFIED
Siedentop, Stefanils dortmundUNSPECIFIED
Date:2017
Journal or Publication Title:Computers, Environment and Urban Systems
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:64
DOI :10.1016/j.compenvurbsys.2017.01.005
Page Range:pp. 42-56
Publisher:Elsevier
ISSN:0198-9715
Status:Published
Keywords:Polycentricity, Urban spatial structure, (Sub-) Centers, Remote sensing, Morphology, Urban mass concentration, Germany
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Taubenböck, Dr. Hannes
Deposited On:14 Feb 2017 08:38
Last Modified:06 Sep 2019 15:24

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