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Integrating Remote Sensing and Social Science - The correlation of urban morphology with socioeconomic parameters

Taubenböck, Hannes and Wurm, Michael and Setiadi, Neysa and Gebert, Niklas and Roth, Achim and Strunz, Günter and Birkmann, Jörn and Dech, Stefan (2009) Integrating Remote Sensing and Social Science - The correlation of urban morphology with socioeconomic parameters. Urban Remote Sensing Join Event, 20..-22. May 2009, Shanghai, China.

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Abstract

The alignment, small-scale transitions and characteristics of buildings, streets and open spaces constitute a heterogeneous urban morphology. The urban morphology is the physical reflection of a society that created it, influenced by historical, social, cultural, economic, political, demographic and natural conditions as well as their developments. Within the complex urban environment homogeneous physical patterns and sectors of similar building types, structural alignments or similar built-up densities can be localized and classified. Accordingly, it is assumed that urban societies also feature a distinctive socioeconomic urban morphology that is strongly correlated with the characteristics of a city’s physical morphology: Social groups settle spatially with one’s peer more or less segregated from other social groups according to, amongst other things, their economic status. This study focuses on the analysis, whether the static physical urban morphology correlates with socioeconomic parameters of its inhabitants – here with the example indicators income and value of property. Therefore, the study explores on the capabilities of high resolution optical satellite data (Ikonos) to classify patterns of urban morphology based on physical parameters. In addition a household questionnaire was developed to investigate on the cities socioeconomic morphology.

Item URL in elib:https://elib.dlr.de/58966/
Document Type:Conference or Workshop Item (Speech)
Title:Integrating Remote Sensing and Social Science - The correlation of urban morphology with socioeconomic parameters
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Taubenböck, Hanneshannes.taubenboeck (at) dlr.deUNSPECIFIED
Wurm, Michaelmichael.wurm (at) dlr.deUNSPECIFIED
Setiadi, NeysaUnited Nations University; Institute for Environment and Human Security (UNU-EHS); BoUNSPECIFIED
Gebert, NiklasUnited Nations University - Institute for Environment and Human SecurityUNSPECIFIED
Roth, AchimAchim.Roth (at) dlr.deUNSPECIFIED
Strunz, GünterGuenter.Strunz (at) dlr.deUNSPECIFIED
Birkmann, JörnUnited Nations University - Institute for Environment and Human SecurityUNSPECIFIED
Dech, Stefanstefan.dech (at) dlr.deUNSPECIFIED
Date:20 May 2009
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:Procee
Page Range:pp. 1-7
Status:Published
Keywords:Urban remote sensing, interdisciplinary analysis, urban morphology, semantic classification, socioeconomy
Event Title:Urban Remote Sensing Join Event
Event Location:Shanghai, China
Event Dates:20..-22. May 2009
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Environment and Security
Deposited By: Taubenböck, Dr. Hannes
Deposited On:07 Jul 2009 09:38
Last Modified:31 Jul 2019 19:24

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