Logo do repositório
 
Publicação

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

2022-03-02Dissertação de mestrado Acesso aberto
Ver registo simples
dc.contributor.advisorCosta, Ana Cristina Marinho da
dc.contributor.advisorGould, Michael
dc.contributor.advisorPesch, Mario
dc.contributor.authorVentura, José Mario Roberto
dc.date.accessioned2022-03-16T11:35:10Z
dc.date.available2022-03-16T11:35:10Z
dc.date.issued2022-03-02
dc.descriptionDissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologiespt_PT
dc.description.abstractCriminality 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.pt_PT
dc.identifier.tid202965937pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/134616
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectSpatial analysispt_PT
dc.subjectCrime analysispt_PT
dc.subjectCrime patternspt_PT
dc.subjectTheft from vehicle crimept_PT
dc.subjectStreet illuminancept_PT
dc.subjectStreet light polespt_PT
dc.subjectGeographically Weighted Poisson Regressionpt_PT
dc.subjectOrdinary Least Squares Regressionpt_PT
dc.subjectVancouverpt_PT
dc.subjectSenseBoxpt_PT
dc.subjectSDG 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 allpt_PT
dc.titleStreet luminosity influence on reported thefts from vehicles during night-timept_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Tecnologias Geoespaciaispt_PT

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura
Nome:
TGEO0276.pdf
Tamanho:
22.01 MB
Formato:
Adobe Portable Document Format
Ver/Abrir

Coleções

NIMS - MSc Dissertations Geospatial Technologies (Erasmus-Mundus)