Street luminosity influence on reported thefts from vehicles during night-time

Detalhes bibliográficos
Autor(a) principal: Ventura, José Mario Roberto
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/134616
Resumo: Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
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spelling Street luminosity influence on reported thefts from vehicles during night-timeSpatial analysisCrime analysisCrime patternsTheft from vehicle crimeStreet illuminanceStreet light polesGeographically Weighted Poisson RegressionOrdinary Least Squares RegressionVancouverSenseBoxSDG 16 - Peace, justice and strong institutions. Target 16.3 - Promote the rule of law at the national and international levels and ensure equal access to justice for allDissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesCriminality across many urban settings has created the need to develop tools that help better understand the social and physical determinants of crime. One specific aspect is how certain urban characteristics may influence criminal activities. One facet of the built environment, street lighting, influences the perception of safety for a potential victim, and it also influences a perpetrator´s risk analysis, affecting how it envisions both costs and rewards for committing a crime. The study looked into the relationship between street illuminance levels, through street light pole density as a proxy, and other crime determinants and the prevalence of reported Night-Time Theft from Vehicle crimes in Vancouver, BC, Canada, through exploratory spatial data analysis and by fitting Geographically Weighted Poisson Regressions. To test if street lighting pole density is a usable proxy for street illuminance it also modeled the relationship between street lighting pole and tree densities and measured night time street illuminance by fitting an Ordinary Least Squares regression. Night time street illuminance was measured using a specially built georeferenced mobile illuminance collection station based on the senseBox. Findings suggest that while a citywide effect is evident for some of the explanatory variables, there is an evident nonstationary relation between the explanatory variables and Night-Time Theft from Vehicle crimes in Vancouver. Regarding street lighting, regressions suggest it may not be an important covariate with Night-Time Theft from Vehicle crime. Coefficients are quite heterogenous throughout with most of the study area showing a mix of weak to mild positive association, specially on the East side, and weak to mild negative associations. The OLS regression showed a moderately weak relation between light poles and tree densities to collected street illuminance. The question of street lighting pole density being a usable proxy for street illuminance could not be answered with confidence.Costa, Ana Cristina Marinho daGould, MichaelPesch, MarioRUNVentura, José Mario Roberto2022-03-16T11:35:10Z2022-03-022022-03-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/134616TID:202965937enginfo: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:RCAAP2024-03-11T05:13:03Zoai:run.unl.pt:10362/134616Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:48:10.434373Repositório 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 Street luminosity influence on reported thefts from vehicles during night-time
title Street luminosity influence on reported thefts from vehicles during night-time
spellingShingle Street luminosity influence on reported thefts from vehicles during night-time
Ventura, José Mario Roberto
Spatial analysis
Crime analysis
Crime patterns
Theft from vehicle crime
Street illuminance
Street light poles
Geographically Weighted Poisson Regression
Ordinary Least Squares Regression
Vancouver
SenseBox
SDG 16 - Peace, justice and strong institutions. Target 16.3 - Promote the rule of law at the national and international levels and ensure equal access to justice for all
title_short Street luminosity influence on reported thefts from vehicles during night-time
title_full Street luminosity influence on reported thefts from vehicles during night-time
title_fullStr Street luminosity influence on reported thefts from vehicles during night-time
title_full_unstemmed Street luminosity influence on reported thefts from vehicles during night-time
title_sort Street luminosity influence on reported thefts from vehicles during night-time
author Ventura, José Mario Roberto
author_facet Ventura, José Mario Roberto
author_role author
dc.contributor.none.fl_str_mv Costa, Ana Cristina Marinho da
Gould, Michael
Pesch, Mario
RUN
dc.contributor.author.fl_str_mv Ventura, José Mario Roberto
dc.subject.por.fl_str_mv Spatial analysis
Crime analysis
Crime patterns
Theft from vehicle crime
Street illuminance
Street light poles
Geographically Weighted Poisson Regression
Ordinary Least Squares Regression
Vancouver
SenseBox
SDG 16 - Peace, justice and strong institutions. Target 16.3 - Promote the rule of law at the national and international levels and ensure equal access to justice for all
topic Spatial analysis
Crime analysis
Crime patterns
Theft from vehicle crime
Street illuminance
Street light poles
Geographically Weighted Poisson Regression
Ordinary Least Squares Regression
Vancouver
SenseBox
SDG 16 - Peace, justice and strong institutions. Target 16.3 - Promote the rule of law at the national and international levels and ensure equal access to justice for all
description Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
publishDate 2022
dc.date.none.fl_str_mv 2022-03-16T11:35:10Z
2022-03-02
2022-03-02T00:00:00Z
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/10362/134616
TID:202965937
url http://hdl.handle.net/10362/134616
identifier_str_mv TID:202965937
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)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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