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- W3203031645 abstract "The aim of this study is to investigate factors that significantly contribute to death of thedriver in an accident. For the purpose of this study, a total of 200 dataset was collectedfrom the accident cases reported in News Straits Times occurred throughout Malaysiaduring 2nd of January 2018 until 20th of October 2018. This research study appliesLogistic Regression technique by using SPSS software to analyze the results. Thevariables or factors studied involved several dichotomous variables such as the type ofdriver’s vehicle, the gender of the driver, the status of the driver, the state where theaccidents occurred, the time and the cause of the accident. In general, road condition,weather condition and drug abuse are not the major factors that leads to driver’s fatalaccident. Furthermore, there are only two significant variables which act as a goodpredictor for the model namely the time of accident in the afternoon as well as gender." @default.
- W3203031645 created "2021-10-11" @default.
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- W3203031645 date "2018-01-01" @default.
- W3203031645 modified "2023-09-22" @default.
- W3203031645 title "Determining significant factors that leads traffic drivers to fatal accidents in Malaysia by using : Logistic Regression / Muhammad Shafiq Azemi" @default.
- W3203031645 hasPublicationYear "2018" @default.
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