Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model

The aim of this paper was to identify the determinants that influence vehicle theft by applying a negative binomial regression model. The identification of these determinants is very important to policy-makers, car-makers and car owners, as they can be used to establish practical steps for preventin...

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Main Authors:	Malina Zulkifli, Ahmad Mahir Razali, Nurulkamal Masseran, Noriszura Ismail
Format:	Article
Language:	English
Published:	Universiti Kebangsaan Malaysia 2015
Online Access:	http://journalarticle.ukm.my/9273/ http://journalarticle.ukm.my/9273/ http://journalarticle.ukm.my/9273/1/20_Malina_Zulkifli.pdf

id	ukm-9273
recordtype	eprints
spelling	ukm-92732016-12-14T06:49:25Z http://journalarticle.ukm.my/9273/ Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model Malina Zulkifli, Ahmad Mahir Razali, Nurulkamal Masseran, Noriszura Ismail, The aim of this paper was to identify the determinants that influence vehicle theft by applying a negative binomial regression model. The identification of these determinants is very important to policy-makers, car-makers and car owners, as they can be used to establish practical steps for preventing or at least limiting vehicle thefts. In addition, this paper also proposed a crime mapping application that allows us to identify the most risky areas for vehicle theft. The results from this study can be utilized by local authorities as well as management of internal resource planning of insurance companies in planning effective strategies to reduce vehicle theft. Indirectly, this paper has built ingenuity by combining information obtained from the database of Jabatan Perangkaan Malaysia and insurance companies to pioneer the development of location map of vehicle theft in Malaysia. Universiti Kebangsaan Malaysia 2015-09 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/9273/1/20_Malina_Zulkifli.pdf Malina Zulkifli, and Ahmad Mahir Razali, and Nurulkamal Masseran, and Noriszura Ismail, (2015) Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model. Sains Malaysiana, 44 (9). pp. 1363-1370. ISSN 0126-6039 http://www.ukm.my/jsm/malay_journals/jilid44bil9_2015/KandunganJilid44Bil9_2015.html
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	The aim of this paper was to identify the determinants that influence vehicle theft by applying a negative binomial regression model. The identification of these determinants is very important to policy-makers, car-makers and car owners, as they can be used to establish practical steps for preventing or at least limiting vehicle thefts. In addition, this paper also proposed a crime mapping application that allows us to identify the most risky areas for vehicle theft. The results from this study can be utilized by local authorities as well as management of internal resource planning of insurance companies in planning effective strategies to reduce vehicle theft. Indirectly, this paper has built ingenuity by combining information obtained from the database of Jabatan Perangkaan Malaysia and insurance companies to pioneer the development of location map of vehicle theft in Malaysia.
format	Article
author	Malina Zulkifli, Ahmad Mahir Razali, Nurulkamal Masseran, Noriszura Ismail,
spellingShingle	Malina Zulkifli, Ahmad Mahir Razali, Nurulkamal Masseran, Noriszura Ismail, Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model
author_facet	Malina Zulkifli, Ahmad Mahir Razali, Nurulkamal Masseran, Noriszura Ismail,
author_sort	Malina Zulkifli,
title	Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model
title_short	Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model
title_full	Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model
title_fullStr	Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model
title_full_unstemmed	Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model
title_sort	statistical analysis of vehicle theft crime in peninsular malaysia using negative binomial regression model
publisher	Universiti Kebangsaan Malaysia
publishDate	2015
url	http://journalarticle.ukm.my/9273/ http://journalarticle.ukm.my/9273/ http://journalarticle.ukm.my/9273/1/20_Malina_Zulkifli.pdf
first_indexed	2023-09-18T19:54:25Z
last_indexed	2023-09-18T19:54:25Z
_version_	1777406433468350464

Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model

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