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Quantitative assessment and comparison of urban patterns in Germany and the United States

Schmitt, Andreas and Uth, Philipp and Standfuß, Ines and Heider, Bastian and Siedentop, Stefan and Taubenböck, Hannes (2023) Quantitative assessment and comparison of urban patterns in Germany and the United States. Computers, Environment and Urban Systems, 100, pp. 1-18. Elsevier. doi: 10.1016/j.compenvurbsys.2022.101920. ISSN 0198-9715.

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Official URL: https://www.sciencedirect.com/science/article/abs/pii/S0198971522001648

Abstract

In this paper, we present methods to assess the homogeneity of the settlement landscape and to identify settlement clusters in terms of location and size. Due to various input data, methodologies, and spatial concepts, there are only a few international comparative research studies with quantitative, spatial approaches to date. Existing studies are mostly qualitative and empirically hardly replicable. Here, we introduce two novel methodological approaches to describe urban land patterns in a numerically stable, consistent and globally comparable manner. The first method evaluates the multi-scale homogeneity of the settlements and the respective density distributions in a purely non-parametric approach. The second method transfers the settlement patterns into a Gaussian Mixture Model via hierarchical multi-scale clustering in order to describe each cluster by the parameters of a 2D Gaussian distribution. In order to proof the robustness of both approaches, two different reference units are considered for the interpretation of the results: OECD functional urban areas and standardized subsets of 200 km × 200 km around the same central cities. We show that German urban areas are characterized by a higher heterogeneity within a smaller neighbourhood with an almost symmetric density distribution in comparison to urban areas in the U.S. Furthermore, German urban areas possess an increasing homogeneity with increasing size, i.e., the larger the urban agglomeration, the more uniform it appears. It is the contrary in the U.S. These findings are substantiated by the analysis of individual city centres. In Germany, many clusters of similar size define the urban region, whereas in the U.S. one large dominating cluster exceeds most neighbouring settlements significantly. The study is performed on the Global Urban Footprint Density, which assigns a density value to each urban pixel of about 30 m by 30 m. In this way, the approach is a blueprint to be extended to urban patterns of any spatial unit worldwide.

Item URL in elib:https://elib.dlr.de/196447/
Document Type:Article
Title:Quantitative assessment and comparison of urban patterns in Germany and the United States
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schmitt, AndreasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Uth, PhilippUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Standfuß, InesUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Heider, BastianUNSPECIFIEDhttps://orcid.org/0000-0002-8508-6952UNSPECIFIED
Siedentop, StefanUNSPECIFIEDhttps://orcid.org/0000-0002-4904-0105UNSPECIFIED
Taubenböck, HannesUNSPECIFIEDhttps://orcid.org/0000-0003-4360-9126UNSPECIFIED
Date:March 2023
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:100
DOI:10.1016/j.compenvurbsys.2022.101920
Page Range:pp. 1-18
Publisher:Elsevier
ISSN:0198-9715
Status:Published
Keywords:Polycentricity,
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Geoscientific remote sensing and GIS methods
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Standfuß, Ines
Deposited On:18 Sep 2023 09:30
Last Modified:19 Oct 2023 09:12

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