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The association of socio-demographic characteristics towards driver behaviour and traffic fatality in Selangor, Malaysia

There are more than 6,000 road traffic fatalities each year in Malaysia since 2004, although the index of road traffic fatality per 100,000 population is decreasing steadily each year. Selangor, one of the states in Malaysia, has recorded the highest road traffic fatalities in 2019. Since traffic ac...

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Main Authors: Radzuan, N. Q., Mohd Hasnun Ariff, Hassan, Abu Kassim, K. A., Ab. Rashid, A. A., Mohd Razelan, Intan Suhana, Othman, N. A.
Format: Conference or Workshop Item
Language:English
English
Published: Springer, Singapore 2022
Subjects:
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/33364/1/The%20association%20of%20socio-demographic%20characteristics%20towards.pdf
http://umpir.ump.edu.my/id/eprint/33364/7/01_The%20Association%20of%20Socio-Demographics%20Background%20towards%20Traffic%20Fatality%20in%20Selangor%2C%20Malaysia.pdf
http://umpir.ump.edu.my/id/eprint/33364/
https://doi.org/10.1007/978-981-16-4115-2_31
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spelling my.ump.umpir.333642024-07-05T02:51:44Z http://umpir.ump.edu.my/id/eprint/33364/ The association of socio-demographic characteristics towards driver behaviour and traffic fatality in Selangor, Malaysia Radzuan, N. Q. Mohd Hasnun Ariff, Hassan Abu Kassim, K. A. Ab. Rashid, A. A. Mohd Razelan, Intan Suhana Othman, N. A. TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology There are more than 6,000 road traffic fatalities each year in Malaysia since 2004, although the index of road traffic fatality per 100,000 population is decreasing steadily each year. Selangor, one of the states in Malaysia, has recorded the highest road traffic fatalities in 2019. Since traffic accidents and driver’s behaviour is correlated, this study aims to understand the association between the socio-demographic characteristics and driver’s behaviour, and the correlation between these parameters and road fatality. Road traffic accidents in Selangor in the year 2019 were used as the input data in this study. The selected socio-demographic characteristics are gender, age group, ethnicity, level of education, job specification, and type of driving licence. The statistics show that most of the fatalities involve employed young Malay drivers with more than five years driving experience. A classification model was formulated to classify the driver’s behaviour based on the socio-demographic characteristics and vehicle type data. In addition, another classification model was developed, combining the aforementioned parameters as independent variables to classify the occurrence of fatal accidents. The supervised machine learning analysis was conducted using classifiers such as Random Forest, Classification Tree, Neural Network, Support Vector Machine, and Naïve Bayes using Orange data mining software. Random Forest was found to produce the most accurate classification of both driver’s behaviour based on the socio-demographic characteristics, and the occurrence of fatal accidents as compared to other classifiers. This study shows that socio-demographic characteristics are indeed associated with driver’s behaviour, and both socio-demographic characteristics and driver’s behaviour are among the causes of fatal accidents. Springer, Singapore 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/33364/1/The%20association%20of%20socio-demographic%20characteristics%20towards.pdf pdf en http://umpir.ump.edu.my/id/eprint/33364/7/01_The%20Association%20of%20Socio-Demographics%20Background%20towards%20Traffic%20Fatality%20in%20Selangor%2C%20Malaysia.pdf Radzuan, N. Q. and Mohd Hasnun Ariff, Hassan and Abu Kassim, K. A. and Ab. Rashid, A. A. and Mohd Razelan, Intan Suhana and Othman, N. A. (2022) The association of socio-demographic characteristics towards driver behaviour and traffic fatality in Selangor, Malaysia. In: Proceedings of HUMENS 2021. Human Engineering Symposium, HUMENS 2021 , 22 February 2021 - 22 February 2021 , Virtual Online. pp. 395-405.. ISSN 2195-4364 ISBN 978-981164114-5 https://doi.org/10.1007/978-981-16-4115-2_31
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TP Chemical technology
spellingShingle TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TP Chemical technology
Radzuan, N. Q.
Mohd Hasnun Ariff, Hassan
Abu Kassim, K. A.
Ab. Rashid, A. A.
Mohd Razelan, Intan Suhana
Othman, N. A.
The association of socio-demographic characteristics towards driver behaviour and traffic fatality in Selangor, Malaysia
description There are more than 6,000 road traffic fatalities each year in Malaysia since 2004, although the index of road traffic fatality per 100,000 population is decreasing steadily each year. Selangor, one of the states in Malaysia, has recorded the highest road traffic fatalities in 2019. Since traffic accidents and driver’s behaviour is correlated, this study aims to understand the association between the socio-demographic characteristics and driver’s behaviour, and the correlation between these parameters and road fatality. Road traffic accidents in Selangor in the year 2019 were used as the input data in this study. The selected socio-demographic characteristics are gender, age group, ethnicity, level of education, job specification, and type of driving licence. The statistics show that most of the fatalities involve employed young Malay drivers with more than five years driving experience. A classification model was formulated to classify the driver’s behaviour based on the socio-demographic characteristics and vehicle type data. In addition, another classification model was developed, combining the aforementioned parameters as independent variables to classify the occurrence of fatal accidents. The supervised machine learning analysis was conducted using classifiers such as Random Forest, Classification Tree, Neural Network, Support Vector Machine, and Naïve Bayes using Orange data mining software. Random Forest was found to produce the most accurate classification of both driver’s behaviour based on the socio-demographic characteristics, and the occurrence of fatal accidents as compared to other classifiers. This study shows that socio-demographic characteristics are indeed associated with driver’s behaviour, and both socio-demographic characteristics and driver’s behaviour are among the causes of fatal accidents.
format Conference or Workshop Item
author Radzuan, N. Q.
Mohd Hasnun Ariff, Hassan
Abu Kassim, K. A.
Ab. Rashid, A. A.
Mohd Razelan, Intan Suhana
Othman, N. A.
author_facet Radzuan, N. Q.
Mohd Hasnun Ariff, Hassan
Abu Kassim, K. A.
Ab. Rashid, A. A.
Mohd Razelan, Intan Suhana
Othman, N. A.
author_sort Radzuan, N. Q.
title The association of socio-demographic characteristics towards driver behaviour and traffic fatality in Selangor, Malaysia
title_short The association of socio-demographic characteristics towards driver behaviour and traffic fatality in Selangor, Malaysia
title_full The association of socio-demographic characteristics towards driver behaviour and traffic fatality in Selangor, Malaysia
title_fullStr The association of socio-demographic characteristics towards driver behaviour and traffic fatality in Selangor, Malaysia
title_full_unstemmed The association of socio-demographic characteristics towards driver behaviour and traffic fatality in Selangor, Malaysia
title_sort association of socio-demographic characteristics towards driver behaviour and traffic fatality in selangor, malaysia
publisher Springer, Singapore
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/33364/1/The%20association%20of%20socio-demographic%20characteristics%20towards.pdf
http://umpir.ump.edu.my/id/eprint/33364/7/01_The%20Association%20of%20Socio-Demographics%20Background%20towards%20Traffic%20Fatality%20in%20Selangor%2C%20Malaysia.pdf
http://umpir.ump.edu.my/id/eprint/33364/
https://doi.org/10.1007/978-981-16-4115-2_31
_version_ 1822924436770127872
score 13.239859

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