Fatality prediction model for motorcycle accidents in Malaysia

This paper involves building a fatality predictive model for motorcycle accidents data in Malaysia. The number of registered motorcycles in Malaysia has increased four-fold compared to the last 20 years. Thus, the motorcycle accidents rate and fatality rates among riders and pillion in Malaysia has...

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Main Authors: Nasaruddin, Norashikin, Wong, Shaw Voon, Yap, Bee Wah, Lazim, Mohamad Alias
Format: Conference or Workshop Item
Language:English
Published: IEEE 2012
Online Access:http://psasir.upm.edu.my/id/eprint/45189/1/Fatality%20prediction%20model%20for%20motorcycle%20accidents%20in%20Malaysia.pdf
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author Nasaruddin, Norashikin
Wong, Shaw Voon
Yap, Bee Wah
Lazim, Mohamad Alias
author_facet Nasaruddin, Norashikin
Wong, Shaw Voon
Yap, Bee Wah
Lazim, Mohamad Alias
author_sort Nasaruddin, Norashikin
collection UPM
description This paper involves building a fatality predictive model for motorcycle accidents data in Malaysia. The number of registered motorcycles in Malaysia has increased four-fold compared to the last 20 years. Thus, the motorcycle accidents rate and fatality rates among riders and pillion in Malaysia has also increased dramatically. However, results show that when taken into account the numbers of fatalities per 10,000 registered motorcycles, the fatality rate shows a decreasing trend starting from 1996 onwards. The motorcycle accident data for the period of 1996 to 2010 was analyzed using Smeed’s Law and regression method. The results show that regression method approach gives better estimates of fatality rate than Smeed’s equation.
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spelling upm.eprints-451892020-08-04T02:43:05Z http://psasir.upm.edu.my/id/eprint/45189/ Fatality prediction model for motorcycle accidents in Malaysia Nasaruddin, Norashikin Wong, Shaw Voon Yap, Bee Wah Lazim, Mohamad Alias This paper involves building a fatality predictive model for motorcycle accidents data in Malaysia. The number of registered motorcycles in Malaysia has increased four-fold compared to the last 20 years. Thus, the motorcycle accidents rate and fatality rates among riders and pillion in Malaysia has also increased dramatically. However, results show that when taken into account the numbers of fatalities per 10,000 registered motorcycles, the fatality rate shows a decreasing trend starting from 1996 onwards. The motorcycle accident data for the period of 1996 to 2010 was analyzed using Smeed’s Law and regression method. The results show that regression method approach gives better estimates of fatality rate than Smeed’s equation. IEEE 2012 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45189/1/Fatality%20prediction%20model%20for%20motorcycle%20accidents%20in%20Malaysia.pdf Nasaruddin, Norashikin and Wong, Shaw Voon and Yap, Bee Wah and Lazim, Mohamad Alias (2012) Fatality prediction model for motorcycle accidents in Malaysia. In: 2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE 2012), 10-12 Sept. 2012, Langkawi, Kedah. . 10.1109/ICSSBE.2012.6396632
spellingShingle Nasaruddin, Norashikin
Wong, Shaw Voon
Yap, Bee Wah
Lazim, Mohamad Alias
Fatality prediction model for motorcycle accidents in Malaysia
title Fatality prediction model for motorcycle accidents in Malaysia
title_full Fatality prediction model for motorcycle accidents in Malaysia
title_fullStr Fatality prediction model for motorcycle accidents in Malaysia
title_full_unstemmed Fatality prediction model for motorcycle accidents in Malaysia
title_short Fatality prediction model for motorcycle accidents in Malaysia
title_sort fatality prediction model for motorcycle accidents in malaysia
url http://psasir.upm.edu.my/id/eprint/45189/1/Fatality%20prediction%20model%20for%20motorcycle%20accidents%20in%20Malaysia.pdf
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AT lazimmohamadalias fatalitypredictionmodelformotorcycleaccidentsinmalaysia