Assessing Malaysia’s Urban Security through Emerging Hot Spot Analysis (EHSA): A Spatiotemporal Investigation of Burglary Patterns within Police Jurisdictions of Selangor, Kuala Lumpur, and Putrajaya, Malaysia

This study investigates the spatiotemporal patterns of midnight burglary (12 am–6:59 am) across 84 Police Station Boundaries (PSBs) in Selangor, Kuala Lumpur, and Putrajaya using Emerging Hot Spot Analysis (EHSA). The research addresses critical issues in urban crime dynamics, particularly the impact of the COVID-19 pandemic on burglary trends. The objectives include identifying intensifying, diminishing, and other hotspot categories to enhance understanding of spatial crime distributions. A spatiotemporal design, utilizing advanced GIS tools, classifies crime hotspots into nuanced categories, enabling a comprehensive analysis of burglary trends from 2015–2020. Findings reveal significant disparities in burglary intensification in areas such as Kajang (8.60%), Selayang (4.73%), and Klang (4.56%), with diminishing trends observed in regions like Sri Muda. Oscillating and emerging patterns were noted in Kuang and Rawang. Conclusions emphasize the need for targeted, evidence-based law enforcement strategies to mitigate crime risks effectively. The study underscores implications for collaborative urban security policies, advocating for adaptive resource allocation and strategic interventions amidst evolving socio-economic disruptions. This work contributes to criminological literature by demonstrating the utility of EHSA in spatiotemporal crime analysis and informing public safety initiatives.

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Publication Details

Journal
International Journal of Geoinformatics
Published
2025-03-19
DOI
https://doi.org/10.52939/ijg.v21i3.3991
Citations
4
Primary Topic
Crime Patterns and Interventions
Type
article
Field-Weighted Citation Impact
16.81
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article

Assessing Malaysia’s Urban Security through Emerging Hot Spot Analysis (EHSA): A Spatiotemporal Investigation of Burglary Patterns within Police Jurisdictions of Selangor, Kuala Lumpur, and Putrajaya, Malaysia

4 citations
International Journal of Geoinformatics
Crime Patterns and Interventions
16.81
article

Assessing Malaysia’s Urban Security through Emerging Hot Spot Analysis (EHSA): A Spatiotemporal Investigation of Burglary Patterns within Police Jurisdictions of Selangor, Kuala Lumpur, and Putrajaya, Malaysia

article en
4 citations

Abstract

This study investigates the spatiotemporal patterns of midnight burglary (12 am–6:59 am) across 84 Police Station Boundaries (PSBs) in Selangor, Kuala Lumpur, and Putrajaya using Emerging Hot Spot Analysis (EHSA). The research addresses critical issues in urban crime dynamics, particularly the impact of the COVID-19 pandemic on burglary trends. The objectives include identifying intensifying, diminishing, and other hotspot categories to enhance understanding of spatial crime distributions. A spatiotemporal design, utilizing advanced GIS tools, classifies crime hotspots into nuanced categories, enabling a comprehensive analysis of burglary trends from 2015–2020. Findings reveal significant disparities in burglary intensification in areas such as Kajang (8.60%), Selayang (4.73%), and Klang (4.56%), with diminishing trends observed in regions like Sri Muda. Oscillating and emerging patterns were noted in Kuang and Rawang. Conclusions emphasize the need for targeted, evidence-based law enforcement strategies to mitigate crime risks effectively. The study underscores implications for collaborative urban security policies, advocating for adaptive resource allocation and strategic interventions amidst evolving socio-economic disruptions. This work contributes to criminological literature by demonstrating the utility of EHSA in spatiotemporal crime analysis and informing public safety initiatives.

International Journal of Geoinformatics
Universiti of Malaysia Sabah (MY), Osaka City University (JP), Universiti Malaysia Sarawak (MY), National University of Malaysia (MY)
Sustainable cities and communities
Openalex Percentile: Top 1%
Crime Patterns and Interventions
16.81
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