Investigating the use of dasymetric techniques for assessing employment containment in Melbourne, Australia

Detalhes bibliográficos
Autor(a) principal: McCarthy, Christabel
Data de Publicação: 2012
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/8307
Resumo: Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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spelling Investigating the use of dasymetric techniques for assessing employment containment in Melbourne, AustraliaAustralian Bureau of StatisticsCentral Business DistrictChange of Support ProblemGeographically Weighted RegressionLocal Government AreaModifiable Areal Unit ProblemOrdinary Least SquaresRoot Mean Square ErrorStatistical Local AreaDissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.This project studies employment containment in Melbourne, Australia. Employment containment is a measure of the proportion of people that work in a location close to their home. Recent urban planning policies in Melbourne have aimed to improve employment containment in the city’s suburbs. While there has been analysis of the rates at which people both live and work within broadly defined ‘local areas’, little work has been done to investigate employment containment using smaller and more uniform catchment areas as the unit of analysis. This research attempts such a finer scale analysis using dasymetric downscaling techniques. A regression modelling approach supported by land use data, alongside a binary dasymetric method, is used to develop fine scale estimates of employment distribution, while binary and populationdensity weighted methods are used to develop a fine scale estimate of working population distribution. For the employment distribution estimate, the Poisson model that distributed employment to employment-related land use classes produced the smallest error. However, the error produced by this model is still high. For the working population distribution estimate, the population-density weighted estimate is the more accurate of the approaches, and overall produced low error. For the employment containment analysis, a number of employment centres were randomly selected and an employment containment catchment has been derived from a 5 km2 commuting distance catchment. Commuting flows from an origin-destination matrix were areaweighted to estimate flows into the employment centre from the 5 km2 catchment. The method is found to be potentially useful; however inspecting the results of this employment containment calculation highlighted flaws in the current estimates that should be addressed before the measures can be used to further analyse employment containment in Melbourne. Improvements to this method would support urban strategic and transport planning analyses at a metropolitan-wide scale.Pebesma, EdzerMateu Mahiques, JorgeCosta, Ana Cristina Marinho daRUNMcCarthy, Christabel2012-12-04T17:56:32Z2012-02-072012-02-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/8307enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T03:40:53Zoai:run.unl.pt:10362/8307Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:18:07.711649Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Investigating the use of dasymetric techniques for assessing employment containment in Melbourne, Australia
title Investigating the use of dasymetric techniques for assessing employment containment in Melbourne, Australia
spellingShingle Investigating the use of dasymetric techniques for assessing employment containment in Melbourne, Australia
McCarthy, Christabel
Australian Bureau of Statistics
Central Business District
Change of Support Problem
Geographically Weighted Regression
Local Government Area
Modifiable Areal Unit Problem
Ordinary Least Squares
Root Mean Square Error
Statistical Local Area
title_short Investigating the use of dasymetric techniques for assessing employment containment in Melbourne, Australia
title_full Investigating the use of dasymetric techniques for assessing employment containment in Melbourne, Australia
title_fullStr Investigating the use of dasymetric techniques for assessing employment containment in Melbourne, Australia
title_full_unstemmed Investigating the use of dasymetric techniques for assessing employment containment in Melbourne, Australia
title_sort Investigating the use of dasymetric techniques for assessing employment containment in Melbourne, Australia
author McCarthy, Christabel
author_facet McCarthy, Christabel
author_role author
dc.contributor.none.fl_str_mv Pebesma, Edzer
Mateu Mahiques, Jorge
Costa, Ana Cristina Marinho da
RUN
dc.contributor.author.fl_str_mv McCarthy, Christabel
dc.subject.por.fl_str_mv Australian Bureau of Statistics
Central Business District
Change of Support Problem
Geographically Weighted Regression
Local Government Area
Modifiable Areal Unit Problem
Ordinary Least Squares
Root Mean Square Error
Statistical Local Area
topic Australian Bureau of Statistics
Central Business District
Change of Support Problem
Geographically Weighted Regression
Local Government Area
Modifiable Areal Unit Problem
Ordinary Least Squares
Root Mean Square Error
Statistical Local Area
description Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
publishDate 2012
dc.date.none.fl_str_mv 2012-12-04T17:56:32Z
2012-02-07
2012-02-07T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/8307
url http://hdl.handle.net/10362/8307
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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