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

9Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

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 COVID19 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.

Cite

CITATION STYLE

APA

Redzuan, M. S., Masron, T., Ahmad, A., Abdillah, K. K., Yusuf, A., Junaini, S. N., … Jubit, N. (2025). 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. International Journal of Geoinformatics, 21(3), 29–49. https://doi.org/10.52939/ijg.v21i3.3991

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free