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dc.contributor.authorGarnica-Monroy, Rubende
dc.contributor.authorAlvanides, Seraphimde
dc.date.accessioned2019-08-20T12:17:59Z
dc.date.available2019-08-20T12:17:59Z
dc.date.issued2019de
dc.identifier.issn2399-8083de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/63760
dc.description.abstractWith a population of more than 120 million people, most Mexican cities suffer from socioeconomic inequalities and these are worsened by spatial inequalities resulting from their urban form and structure. A number of studies have been published looking at limited public services and how this may affect those on lower incomes in Mexico. However, very few studies have used spatial accessibility as a means of explaining urban inequalities and informing city planning. Spatial accessibility is defined as the measurable geographical access from residential locations to destinations for services and public goods. This paper investigates the potential of a spatial accessibility index to provide evidence for making location/planning decisions that benefit the largest number of residents. To achieve this aim, we combine three geographical secondary data sets with geospatial analysis. First, two important urban public services, i.e. health and education, are located, and catchment areas are then generated according to their respective sizes. For the second set, the integration values of each city at metropolitan and district scales are calculated using Space Syntax to observe how its configuration may influence the distribution of activities and the way the inhabitants live and move. The third set is demographic data from the 2010 national census of Population and Housing, analysed at the residential block level. This paper focuses on the results of combining two accessibility indices (cumulative opportunities and Space Syntax’s integration value) that examine the degree to which the lack of a basic public service could be associated with the spatial segregation of an area to provide evidence (comprehensible by decision-makers) for making location and planning decisions that benefit the largest number of residents.de
dc.languageende
dc.subject.ddcSoziologie, Anthropologiede
dc.subject.ddcSociology & anthropologyen
dc.subject.otherUrban segregation, urban morphology, geospatial data, spatial accessibility, Mexican citiesde
dc.titleSpatial segregation and urban form in Mexican citiesde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalEnvironment and Planning B: Urban Analytics and City Science
dc.source.volume46de
dc.publisher.countryUSA
dc.source.issue7de
dc.subject.classozSiedlungssoziologie, Stadtsoziologiede
dc.subject.classozSociology of Settlements and Housing, Urban Sociologyen
dc.subject.thesozMexikode
dc.subject.thesozMexicoen
dc.subject.thesozStadtplanungde
dc.subject.thesozurban planningen
dc.subject.thesozStadtgeographiede
dc.subject.thesozurban geographyen
dc.subject.thesozöffentliche Dienstleistungde
dc.subject.thesozpublic serviceen
dc.subject.thesozSegregationde
dc.subject.thesozsegregationen
dc.subject.thesozMorphologiede
dc.subject.thesozmorphologyen
dc.subject.thesozEinzugsbereichde
dc.subject.thesozsuburben
dc.subject.thesozgeographische Faktorende
dc.subject.thesozgeographical factorsen
dc.subject.thesozsoziale Ungleichheitde
dc.subject.thesozsocial inequalityen
dc.subject.thesozGesundheitsversorgungde
dc.subject.thesozhealth careen
dc.subject.thesozBildungswesende
dc.subject.thesozeducation systemen
dc.subject.thesozBildungseinrichtungde
dc.subject.thesozeducational institutionen
dc.subject.thesozInformationssystemde
dc.subject.thesozinformation systemen
dc.subject.thesozGeographiede
dc.subject.thesozgeographyen
dc.subject.thesozsoziale Integrationde
dc.subject.thesozsocial integrationen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionGESISde
internal.statusnoch nicht fertig erschlossende
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dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1347-1361de
internal.identifier.classoz10213
internal.identifier.journal1549
internal.identifier.document32
internal.identifier.ddc301
dc.source.issuetopicUrban Big Data Analytics and Morphologyde
dc.identifier.doihttps://doi.org/10.1177/2399808319856629de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
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