Determining significant factors that leads traffic drivers to fatal accidents in Malaysia by using : Logistic Regression / Muhammad Shafiq Azemi

Azemi, Muhammad Shafiq (2018) Determining significant factors that leads traffic drivers to fatal accidents in Malaysia by using : Logistic Regression / Muhammad Shafiq Azemi. [Student Project] (Unpublished)

Abstract

The aim of this study is to investigate factors that significantly contribute to death of the driver in an accident. For the purpose of this study, a total of 200 dataset was collected from the accident cases reported in News Straits Times occurred throughout Malaysia during 2nd of January 2018 until 20th of October 2018. This research study applies Logistic Regression technique by using SPSS software to analyze the results. The variables or factors studied involved several dichotomous variables such as the type of driver’s vehicle, the gender of the driver, the status of the driver, the state where the accidents 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 fatal accident. Furthermore, there are only two significant variables which act as a good predictor for the model namely the time of accident in the afternoon as well as gender.

Metadata

Item Type: Student Project
Creators:
CreatorsID Num. / Email
Azemi, Muhammad ShafiqUNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science > Computer software
Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science > Computer software
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons.) Management Mathematics
Item ID: 26865
Uncontrolled Keywords: Fatal Accidents ; Logistic Regression ; SPSS Software
URI: http://ir.uitm.edu.my/id/eprint/26865

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