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

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

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 u...

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Bibliographic Details
Main Author: Azemi, Muhammad Shafiq
Format: Student Project
Language:English
Published: Faculty of Computer and Mathematical Sciences 2018
Subjects:
Computer software
Online Access:http://ir.uitm.edu.my/id/eprint/26865/
http://ir.uitm.edu.my/id/eprint/26865/1/Pbb_MUHAMMAD%20SHAFIQ%20AZEMI%20CS%20R%2019_5.pdf
id uitm-26865
recordtype eprints
spelling uitm-268652020-03-19T08:00:42Z http://ir.uitm.edu.my/id/eprint/26865/ Determining significant factors that leads traffic drivers to fatal accidents in Malaysia by using : Logistic Regression / Muhammad Shafiq Azemi Azemi, Muhammad Shafiq Computer software 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. Faculty of Computer and Mathematical Sciences 2018-01 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/26865/1/Pbb_MUHAMMAD%20SHAFIQ%20AZEMI%20CS%20R%2019_5.pdf 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)
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Computer software
spellingShingle Computer software
Azemi, Muhammad Shafiq
Determining significant factors that leads traffic drivers to fatal accidents in Malaysia by using : Logistic Regression / Muhammad Shafiq Azemi
description 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.
format Student Project
author Azemi, Muhammad Shafiq
author_facet Azemi, Muhammad Shafiq
author_sort Azemi, Muhammad Shafiq
title Determining significant factors that leads traffic drivers to fatal accidents in Malaysia by using : Logistic Regression / Muhammad Shafiq Azemi
title_short Determining significant factors that leads traffic drivers to fatal accidents in Malaysia by using : Logistic Regression / Muhammad Shafiq Azemi
title_full Determining significant factors that leads traffic drivers to fatal accidents in Malaysia by using : Logistic Regression / Muhammad Shafiq Azemi
title_fullStr Determining significant factors that leads traffic drivers to fatal accidents in Malaysia by using : Logistic Regression / Muhammad Shafiq Azemi
title_full_unstemmed Determining significant factors that leads traffic drivers to fatal accidents in Malaysia by using : Logistic Regression / Muhammad Shafiq Azemi
title_sort determining significant factors that leads traffic drivers to fatal accidents in malaysia by using : logistic regression / muhammad shafiq azemi
publisher Faculty of Computer and Mathematical Sciences
publishDate 2018
url http://ir.uitm.edu.my/id/eprint/26865/
http://ir.uitm.edu.my/id/eprint/26865/1/Pbb_MUHAMMAD%20SHAFIQ%20AZEMI%20CS%20R%2019_5.pdf
first_indexed 2023-09-18T23:17:31Z
last_indexed 2023-09-18T23:17:31Z
_version_ 1777419211282317312

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