2015
DOI: 10.17576/jsm-2015-4409-20
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Statistical Analysis of Vehicle Theft Crime in Peninsular Malaysia using Negative Binomial Regression Model

Abstract: 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

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“…As a developing country, the transportation system in Malaysia has become vital, and the demand for vehicles has been increasing every year [ 1 , 2 ]. The number of registered vehicles was 15,790,732 in 2006, and it grew to 29,666,187 by September 2018 [ 3 , 4 ]. The rising population and number of vehicles on the roads increased the risk of road traffic accidents (RTAs), leading to injuries and even fatalities [ 5 , 6 ].…”
Section: Introductionmentioning
confidence: 99%
“…As a developing country, the transportation system in Malaysia has become vital, and the demand for vehicles has been increasing every year [ 1 , 2 ]. The number of registered vehicles was 15,790,732 in 2006, and it grew to 29,666,187 by September 2018 [ 3 , 4 ]. The rising population and number of vehicles on the roads increased the risk of road traffic accidents (RTAs), leading to injuries and even fatalities [ 5 , 6 ].…”
Section: Introductionmentioning
confidence: 99%
“…As the term of statistics, there are many cases or reports due to the vehicle burglaries and theft and it keep increase time by time. The crime statistical reports state that vehicle burglary is increasing dramatically around the world [2].…”
Section: Introductionmentioning
confidence: 99%