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dc.contributor.author
Schirmer, Patrick M.
dc.contributor.supervisor
Batty, Michael
dc.contributor.supervisor
Axhausen, Kay W.
dc.date.accessioned
2019-03-29T13:21:22Z
dc.date.available
2017-06-11T18:14:50Z
dc.date.available
2017-08-04T08:50:16Z
dc.date.available
2019-03-29T13:21:22Z
dc.date.issued
2015
dc.identifier.uri
http://hdl.handle.net/20.500.11850/102330
dc.identifier.doi
10.3929/ethz-a-010485505
dc.description.abstract
Geo-spatial data available to researchers and practitioners has increased substantially over the last decades, forming new opportunities of analyzing and characterizing locations and their spatial environment in an objective way. Such descriptives also allow for use in discrete locations choice models which model relocation behavior and generally implement three groups of variables, representing attributes of the alternative, the decision-taker and the location. With the growing availability of spatial data on a disaggregated level, a large number of location variables have been reported in these models, which reduces their comparability and their transferability to other study areas. <br/> Residential location choice models are a well-known example of such location choice models often reported by researchers. In this thesis a wide range of these studies is reviewed in order to propose a common classification for location variables and categorizes their findings. Similar preferences are found, but different measurement methods and market segments across different study regions. It becomes obvious that the inclusion of socio-economic environment is more common than the representation of the built environment due to the availability in census data. <br/> Various studies in the field of Urban Planning and Design have given recommendations on "good urban form", suggesting that specific spatial characteristics inform the quality of an urban landscape and the way persons perceive it, respectively behave in it. This demonstrates the need to reflect such spatial characteristics through quantitative attributes when modeling spatial behavior in form of location choice. <br/> The options to characterize the urban morphology with such attributes are numerious and leave the researcher with the question which attributes are necessary to reflect characteristics of the urban morphology and how these can be calculated from the given data. In this thesis this question is approached by giving an overview of quantitative descriptions of the urban morphology. The basis is a data model that is simple enough to allow the reproducibility in any study area. These attributes are classified in multiple scales to reflect different perceptions of the urban morphology, i.e. the object, the composition, the neighborhood and the municipality. A case study of the canton of Zurich furthermore shows how these characteristics allow for definition of urban typologies for the proposed scales. Three cluster algorithms are applied to define such typologies: kmeans, kmedoid and latent class clustering. The cluster results are compared on their descriptive statistics, their consistency for different number of clusters, their spatial distribution and their interpretation in maps. The final part of the thesis evaluates the impact of the proposed variables on residential location choice for the Canton of Zurich: first the standard set of variables of the review,then the newly proposed morphological attributes and cluster outcomes. The standard set of variables proves to be of high value as initial setup for residential location choice models, but a comparable model quality is found for the alternative model definitions with morphological attributes, which furthermore give the a better feedback on planning policies. The low number of observations in the survey does not allow dedicated models for different household types, but the descriptive analysis given at the end of the thesis show a variation of preferences which recommends such modeling in further studies.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH-Zürich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
WAHRNEHMUNGSGEOGRAFIE
en_US
dc.subject
STADTPHYSIOGNOMIE + STADTBILD + STADTFORMEN (STÄDTEWESEN)
en_US
dc.subject
MATHEMATICAL MODELING AND SIMULATION IN GEOGRAPHY
en_US
dc.subject
CANTON OF ZURICH (SWITZERLAND)
en_US
dc.subject
MODELLRECHNUNG UND SIMULATION IN DER GEOGRAFIE
en_US
dc.subject
KANTON ZÜRICH (SCHWEIZ)
en_US
dc.subject
URBAN PHYSIOGNOMY + URBAN FORM + URBAN SETTLEMENT FORMS (URBAN STUDIES)
en_US
dc.subject
PERCEPTIONAL GEOGRAPHY
en_US
dc.subject
BEHAVIOURAL GEOGRAPHY
en_US
dc.subject
VERHALTENSGEOGRAFIE
en_US
dc.subject
WOHNLAGE + WOHNQUALITÄT (HAUSWIRTSCHAFT)
en_US
dc.subject
CLUSTER ANALYSIS + CLASSIFICATION (MATHEMATICAL STATISTICS)
en_US
dc.subject
CLUSTERANALYSE + KLASSIFIKATION (MATHEMATISCHE STATISTIK)
en_US
dc.subject
HOUSING SITE + HOUSING QUALITY (HOME ECONOMICS)
en_US
dc.title
Classification of the Urban Morphology for Use in Residential Location Choice Models
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2015
ethz.size
1 Band
en_US
ethz.code.ddc
DDC - DDC::9 - History & geography::910 - Geography & travel
en_US
ethz.identifier.diss
22601
en_US
ethz.identifier.nebis
010485505
ethz.publication.place
Zürich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::03521 - Axhausen, Kay W. / Axhausen, Kay W.
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt und Landschaft D-ARCH::02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt und Landschaft D-ARCH
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::03521 - Axhausen, Kay W. / Axhausen, Kay W.
ethz.relation.isSourceOf
handle/20.500.11850/334861
ethz.date.deposited
2017-06-11T18:15:23Z
ethz.source
ECOL
ethz.source
ECIT
ethz.identifier.importid
imp5936534dc410e33565
ethz.identifier.importid
imp59366b7abd27185622
ethz.ecolpid
eth:47953
ethz.ecitpid
pub:160461
ethz.eth
yes
en_US
ethz.identifier.internal
1097
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-19T03:17:16Z
ethz.rosetta.lastUpdated
2021-02-15T04:11:34Z
ethz.rosetta.versionExported
true
ethz.COinS
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