Spatial linear network Voronoi analysis to quantify accessibility of police stations in South Africa
dc.contributor.advisor | Fabris-Rotelli, Inger Nicolette | |
dc.contributor.coadvisor | Stander, Rene | |
dc.contributor.coadvisor | Thiede, Renate | |
dc.contributor.email | a.antonio@tuks.co.za | en_US |
dc.contributor.postgraduate | Antonio, Arthur | |
dc.date.accessioned | 2025-02-10T07:40:09Z | |
dc.date.available | 2025-02-10T07:40:09Z | |
dc.date.created | 2025-04 | |
dc.date.issued | 2024-11 | |
dc.description | Mini Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2024. | en_US |
dc.description.abstract | This study quantifies the overlap between existing police precinct boundaries and theoretically optimal boundaries derived from Voronoi diagrams based on Euclidean and network distances. Spatial similarity measures are used to analyse the relationship between boundary overlap and police station accessibility, hypothesising that reduced overlap corresponds to decreased accessibility. Accessibility, in this mini-dissertation, refers to how easily an individual can reach a police station, with closer points being more accessible. The analysis extends to the potential effects of boundary placement on crime rates, suggesting that greater inaccessibility of police stations may correlate with less crimes reported in that precinct. By quantifying these relationships, this research evaluates the effectiveness of current precinct boundaries and their potential influence on crimes reported. For precincts with low similarity values, indicating low accessibility, we analyse the proportional change in the number of crimes reported after boundary modifications. A decrease in reported crimes within the new boundaries generated by Voronoi models would support our hypothesis. This decrease would suggest that a significant portion of crimes are now being reported to other, nearer, and more accessible police stations. | en_US |
dc.description.availability | Unrestricted | en_US |
dc.description.degree | MSc (Advanced Data Analytics) | en_US |
dc.description.department | Statistics | en_US |
dc.description.faculty | Faculty of Natural and Agricultural Sciences | en_US |
dc.description.sdg | SDG-09: Industry, innovation and infrastructure | en_US |
dc.description.sdg | SDG-10: Reduced inequalities | en_US |
dc.description.sdg | SDG-11: Sustainable cities and communities | en_US |
dc.description.sdg | SDG-16: Peace, justice and strong institutions | en_US |
dc.identifier.citation | * | en_US |
dc.identifier.doi | https://doi.org/10.25403/UPresearchdata.28378535 | en_US |
dc.identifier.other | A2025 | en_US |
dc.identifier.uri | http://hdl.handle.net/2263/100629 | |
dc.language.iso | en | en_US |
dc.publisher | University of Pretoria | |
dc.rights | © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. | |
dc.subject | UCTD | en_US |
dc.subject | Sustainable Development Goals (SDGs) | en_US |
dc.subject | Police precinct boundaries | en_US |
dc.subject | Voronoi diagrams | en_US |
dc.subject | Accessibility | en_US |
dc.subject | Crime rates | en_US |
dc.subject | Spatial similarity | en_US |
dc.title | Spatial linear network Voronoi analysis to quantify accessibility of police stations in South Africa | en_US |
dc.type | Mini Dissertation | en_US |