High risk areas of snatch theft in Kuala Lumpur, Putrajaya, and Selangor, Malaysia

Kuala Lumpur and Selangor are among 14 states in Malaysia that are listed in the high number of reported cases of snatch theft. Basically, public lack of vigilance towards their belongings creates opportunities for criminals to commit crime. On the other hand, criminals are constantly seeking for t...

Full description

Saved in:
Bibliographic Details
Main Authors: Norita, Jubit, Tarmiji, Masron, Mohd Sofian, Redzuan
Format: Article
Language:English
Published: Penerbit UKM (UKM Press) 2023
Subjects:
Online Access:http://ir.unimas.my/id/eprint/44704/3/High%20risk%20areas%20of%20snatch%20-%20Copy.pdf
http://ir.unimas.my/id/eprint/44704/
https://ejournal.ukm.my/gmjss/article/view/63433
https://doi.org/10.17576/geo-2023-1904-02
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaysia Sarawak
Language: English
id my.unimas.ir.44704
record_format eprints
spelling my.unimas.ir.447042024-05-08T01:14:11Z http://ir.unimas.my/id/eprint/44704/ High risk areas of snatch theft in Kuala Lumpur, Putrajaya, and Selangor, Malaysia Norita, Jubit Tarmiji, Masron Mohd Sofian, Redzuan H Social Sciences (General) Kuala Lumpur and Selangor are among 14 states in Malaysia that are listed in the high number of reported cases of snatch theft. Basically, public lack of vigilance towards their belongings creates opportunities for criminals to commit crime. On the other hand, criminals are constantly seeking for the opportunity to target their victims when there is an opportunity to do so. This study employs the Getis Ord Gi* method and aims to identify areas of high risk in snatch theft cases with statistical significance by effectively measuring the probability of the null hypothesis. This study uses 111 station boundaries as units of analysis. The attribute data consists of reported snatch theft cases between 2015-2020. It includes cases reported by police station, the frequency of crime and gender of the complainants. The result of the study revealed that the hot spots areas with highest z score >2.58 over 5 years are in Tun H.S. Lee and Dang Wangi whereby these two areas are the main pedestrian entry to shopping complexes. Both areas are detected as repeated hot spots of snatch theft for the period of 2015-2020. The novelty of this study lies in its discovery of statistically significant snatch theft hotspots within the police station boundaries in Federal Territory of Kuala Lumpur and Selangor. Previous studies tend to identify hotspots that employs choropleth map and utilized district and city boundaries as unit of analysis for identifying these hotspots. Penerbit UKM (UKM Press) 2023-11-30 Article PeerReviewed text en http://ir.unimas.my/id/eprint/44704/3/High%20risk%20areas%20of%20snatch%20-%20Copy.pdf Norita, Jubit and Tarmiji, Masron and Mohd Sofian, Redzuan (2023) High risk areas of snatch theft in Kuala Lumpur, Putrajaya, and Selangor, Malaysia. Geografia-Malaysian Journal of Society and Space, 19 (4). pp. 15-29. ISSN 2682-7727 https://ejournal.ukm.my/gmjss/article/view/63433 https://doi.org/10.17576/geo-2023-1904-02
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic H Social Sciences (General)
spellingShingle H Social Sciences (General)
Norita, Jubit
Tarmiji, Masron
Mohd Sofian, Redzuan
High risk areas of snatch theft in Kuala Lumpur, Putrajaya, and Selangor, Malaysia
description Kuala Lumpur and Selangor are among 14 states in Malaysia that are listed in the high number of reported cases of snatch theft. Basically, public lack of vigilance towards their belongings creates opportunities for criminals to commit crime. On the other hand, criminals are constantly seeking for the opportunity to target their victims when there is an opportunity to do so. This study employs the Getis Ord Gi* method and aims to identify areas of high risk in snatch theft cases with statistical significance by effectively measuring the probability of the null hypothesis. This study uses 111 station boundaries as units of analysis. The attribute data consists of reported snatch theft cases between 2015-2020. It includes cases reported by police station, the frequency of crime and gender of the complainants. The result of the study revealed that the hot spots areas with highest z score >2.58 over 5 years are in Tun H.S. Lee and Dang Wangi whereby these two areas are the main pedestrian entry to shopping complexes. Both areas are detected as repeated hot spots of snatch theft for the period of 2015-2020. The novelty of this study lies in its discovery of statistically significant snatch theft hotspots within the police station boundaries in Federal Territory of Kuala Lumpur and Selangor. Previous studies tend to identify hotspots that employs choropleth map and utilized district and city boundaries as unit of analysis for identifying these hotspots.
format Article
author Norita, Jubit
Tarmiji, Masron
Mohd Sofian, Redzuan
author_facet Norita, Jubit
Tarmiji, Masron
Mohd Sofian, Redzuan
author_sort Norita, Jubit
title High risk areas of snatch theft in Kuala Lumpur, Putrajaya, and Selangor, Malaysia
title_short High risk areas of snatch theft in Kuala Lumpur, Putrajaya, and Selangor, Malaysia
title_full High risk areas of snatch theft in Kuala Lumpur, Putrajaya, and Selangor, Malaysia
title_fullStr High risk areas of snatch theft in Kuala Lumpur, Putrajaya, and Selangor, Malaysia
title_full_unstemmed High risk areas of snatch theft in Kuala Lumpur, Putrajaya, and Selangor, Malaysia
title_sort high risk areas of snatch theft in kuala lumpur, putrajaya, and selangor, malaysia
publisher Penerbit UKM (UKM Press)
publishDate 2023
url http://ir.unimas.my/id/eprint/44704/3/High%20risk%20areas%20of%20snatch%20-%20Copy.pdf
http://ir.unimas.my/id/eprint/44704/
https://ejournal.ukm.my/gmjss/article/view/63433
https://doi.org/10.17576/geo-2023-1904-02
_version_ 1800728064030670848