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Types of Morphological Configurations of the City across the Globe - a Remote Sensing based Comparative Approach

Debray, Henri and Qiu, Chunping and Schmitt, Michael and Wang, Yuanyuan and Zhu, Xiao Xiang and Taubenböck, Hannes (2021) Types of Morphological Configurations of the City across the Globe - a Remote Sensing based Comparative Approach. In: 26th International Conference on Urban Planning and Regional Development in the Information Society GeoMultimedia 2021, pp. 969-978. CORP – Competence Center of Urban and Regional Planning. Real CORP 2021, 2021-09-08 - 2021-09-10, Vienna, Austira. ISBN 978-3-9504945-0-1. ISSN 2521-3938.

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Official URL: https://archive.corp.at/cdrom2021/papers2021/CORP2021_16.pdf

Abstract

The spatial configuration of the built city is like DNA – it is unique to each city. And yet, it could be shown, that spatial configurations of cities are very similar in certain geographical regions on our globe and, in turn, very different from other regions. In this study, the classification scheme of local climate zones (LCZs) is applied to spatially map the morphological appearances of the cities across the globe. We empirically explore their spatial configurations using different city models and three alternative data representations. We use a single spatial unit model to compute a global land use mixture, a monocentric model to compute density diffusion, as well as to describe a concentric land use mixture at intra-urban scale. We then, for each data representation, cluster cities using k-means to extract typologies of urban morphology. While the results show 1) the geographical congruence of some types of urban morphology, they also show that there are also 2) strong intra-regional variabilities, and 3) multiple cross-regional types. These point to deeper premises than the geographical location of the respective city as main encoder for the city’s DNA. Through the comparison of the results obtained for the three data representation, we discuss these various aspects.

Item URL in elib:https://elib.dlr.de/143981/
Document Type:Conference or Workshop Item (Speech)
Title:Types of Morphological Configurations of the City across the Globe - a Remote Sensing based Comparative Approach
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Debray, HenriUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Qiu, ChunpingTechnichal University MünchenUNSPECIFIEDUNSPECIFIED
Schmitt, MichaelTechnichal University MünchenUNSPECIFIEDUNSPECIFIED
Wang, YuanyuanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zhu, Xiao XiangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Taubenböck, HannesUNSPECIFIEDhttps://orcid.org/0000-0003-4360-9126UNSPECIFIED
Date:2021
Journal or Publication Title:26th International Conference on Urban Planning and Regional Development in the Information Society GeoMultimedia 2021
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 969-978
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Schrenk, ManfredUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Popovich, Vasily V.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zeile, PeterUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Elisei, PietroUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Beyer, ClemensUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ryser, JudithUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Stöglehner, GernozUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Publisher:CORP – Competence Center of Urban and Regional Planning
ISSN:2521-3938
ISBN:978-3-9504945-0-1
Status:Published
Keywords:Urban morphological patterns, Local Climate Zones, Remote sensing, City models, Comparative urban research
Event Title:Real CORP 2021
Event Location:Vienna, Austira
Event Type:international Conference
Event Start Date:8 September 2021
Event End Date:10 September 2021
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 - Remote Sensing and Geo Research, R - Project Big Data Platform [EO]
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Remote Sensing Technology Institute > EO Data Science
Deposited By: Debray, Henri
Deposited On:21 Sep 2021 13:14
Last Modified:24 Apr 2024 20:43

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