p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Forum Geografi
Yoshinari Kimura
Graduate School of Literature and Human Sciences, Osaka Metropolitan University, 3-3-138, Sugimoto, Sumiyoshi-Ku, Osaka 5588585

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Criminological Insights: A Comprehensive Spatial Analysis of Crime Hot Spots of Property Offenses in Malaysia's Urban Centers Azizul Ahmad; Tarmiji Masron; Syahrul Nizam Junaini; Mohamad Hardyman Barawi; Mohd Sofian Redzuan; Yoshinari Kimura; Norita Jubit; Luqman Haqim Bismelah; Asykal Syakinah Mohd Ali
Forum Geografi Vol. 38 No. 1 (2024): April 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v38i1.4306

Abstract

This study examines property crime trends in Selangor, Kuala Lumpur, and Putrajaya from 2015 to 2020, utilizing Geographic Information Systems (GIS) and comprehensive crime data from the Royal Malaysia Police. It focuses on the relationship between property crime rates and the delineation of police station jurisdictions across Selangor State, Kuala Lumpur Federal Territory (KLFT), and Putrajaya Federal Territory (PFT). The objective is to understand the dynamics of property crime, its evolution, and the influence of the National Transformation Program on crime prevention strategies. By assessing the spatial distribution of property crimes, this research aims to identify underlying trends and the efficacy of hot spot policing. The analysis is underpinned by an extensive review of secondary data from the Intelligence/Operations/Records Division of the Royal Malaysia Police Headquarters, enabling a deep dive into the spatial characteristics of property crime within these regions. The findings contribute to the broader understanding of crime prevention in Malaysia, underscoring the importance of GIS technology and the need for strategic interventions tailored to specific crime patterns. This study provides critical insights for policymakers and law enforcement to formulate evidence-based strategies, enhance public safety, and inform future crime prevention efforts.
Urban Violent Crime Dynamics in Kuala Lumpur and Putrajaya: Utilizing Spatial Temporal Techniques Mohd Sofian Redzuan; Tarmiji Masron; Adibah Yusuf; Syahrul Nizam Junaini; Yoshinari Kimura; Mohamad Hardyman Barawi; Mohamad Suhaidi Salleh; Ruslan Rainis; Azizul Ahmad
Forum Geografi Vol. 39 No. 1 (2025): April 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v39i1.6456

Abstract

This paper investigates the patterns of violent crime in Kuala Lumpur and Putrajaya between 2015 and 2020 using advanced spatial analysis techniques, including Spatial Autocorrelation, Standard Deviational Ellipse (SDE), and Mean Centre (MC). The study analyzes the spatial distribution and temporal dynamics of violent crimes, tracks shift in crime hotspots and examines the influence of socio-economic factors on these patterns. Findings reveal that violent crimes predominantly occur in the late afternoon and night, with peak incidents at 3:00 PM (1,830 cases, 8.28%). The study highlights notable shifts in crime hotspots, initially concentrated in commercial districts and gradually expanding to transportation networks and emerging urban areas. The Moran Index values indicate a transition from a near-random pattern in 2015 (-0.002668) to a mild clustering in 2018 (0.032962). Additionally, socio-economic factors, including population density, economic conditions, and the COVID-19 pandemic, significantly impacted crime patterns, leading to changes in crime rates and hotspot locations. These findings are crucial for law enforcement and urban planning, emphasizing the need for adaptive crime prevention strategies that respond to evolving urban challenges, and demonstrating the importance of integrating socio-economic data into spatial crime analysis for comprehensive crime mitigation.