Document Details

Document Type : Thesis 
Document Title :
SAFETY AND SECURITY IN RESIDENTIAL DISTRICTS: SPATIAL ANALYSIS MODEL OF URBAN ENVIRONMENT AND CRIME, A CASE STUDY OF RIYADH CITY
الأمن والسلامة في المناطق السكنية: نموذج تحليل مكاني للبيئة الحضرية والجرائم، دراسة تطبيقية في مدينة الرياض".
 
Subject : Faculty Architecture and Planning 
Document Language : Arabic 
Abstract : Urban planning plays a key role in crime prevention. This planning helps in identifying the root causes and inaugurates the presence of the states and aids in building the trust among the groups and institutions which is a key tactic in crime prevention. Understanding the correlation between urban planning and crimes is significant for criminologists as well as urban planners to make suitable decisions for designing urban areas. The central aim involved in preventing crimes is to minimize the existing opportunities for committing a crime. Such type of prevention is termed as CPTED Principles. This study explores crime occurrences especially in the 15 municipal districts of Riyadh by employing the principles of CPTED. The study also aims to examine the link between Built Environment and potentiality for crime. To accomplish this, statistical analysis that is performed using the data attained from field work and GIS (Geographical Information System) that are obtained from secondary data and the police records in the districts of Riyadh. Further a GIS is selected for estimation based on spatialised details thereby it reveals the statistical correlation dynamics. Additionally, it finds that, correlation exists between socio-economic factors as well as crime occurrences in Riyadh city. Collected data are tested. The descriptive statistical analysis, correlation, ANOVA and regression analysis proved relationship amongst the variables considered for the research. Lastly, the research also afforded recommendations to consider in future. Keywords: Urban Planning, Crime Occurrence, Built Environment, CPTED Principles, Geographic Information System, Statistical Analysis 
Supervisor : Prof. Abdul Qader Murad 
Thesis Type : Doctorate Thesis 
Publishing Year : 1445 AH
2023 AD 
Added Date : Saturday, September 16, 2023 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
تركي خلف المطيريAlmutairi, Turki ResearcherDoctorate 

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