Identification of Hazardous Road Sections: Crash Data versus Composite Index Method

In current road safety practices, the identification of hazardous road sections are normally based on crash data. However, the information provided by crash data may not be adequate to explain the causal factors that lead to a crash. Therefore, a different kind of road safety indicator that can ex...

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Main Authors: Intan Suhana, Mohd Razelan, Hussain, Hamid, Teik Hwa, Law, Ahmad, Farhan
Format: Article
Language:English
English
Published: 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6578/1/Identification_of_Hazardous_Road_Sections-_Crash_Data_versus_Composite_Index_Method.pdf
http://umpir.ump.edu.my/id/eprint/6578/4/Identification%20of%20Hazardous%20Road%20Sections.pdf
http://umpir.ump.edu.my/id/eprint/6578/
http://dx.doi.org/ 10.7763/IJET.2014.V6.745
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spelling my.ump.umpir.65782018-02-06T07:32:08Z http://umpir.ump.edu.my/id/eprint/6578/ Identification of Hazardous Road Sections: Crash Data versus Composite Index Method Intan Suhana, Mohd Razelan Hussain, Hamid Teik Hwa, Law Ahmad, Farhan TA Engineering (General). Civil engineering (General) In current road safety practices, the identification of hazardous road sections are normally based on crash data. However, the information provided by crash data may not be adequate to explain the causal factors that lead to a crash. Therefore, a different kind of road safety indicator that can extensively describe the actual road environment problems of a road section is considered essential. This paper considered fourteen road environment indicators based on their abilities to portray current road environment conditions and their potential towards road crash incidence. These indicators were collected using naturalistic driving technique within the 80-km road length connecting Kuantan and Maran town in the state of Pahang, Malaysia in which the composite road environment risk index was finally developed. This composite road environment risk index is found to be a useful proactive method to identify the potential problematic road sections that require urgent road improvement works as compared to the reactive crash data analysis method. 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6578/1/Identification_of_Hazardous_Road_Sections-_Crash_Data_versus_Composite_Index_Method.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/6578/4/Identification%20of%20Hazardous%20Road%20Sections.pdf Intan Suhana, Mohd Razelan and Hussain, Hamid and Teik Hwa, Law and Ahmad, Farhan (2014) Identification of Hazardous Road Sections: Crash Data versus Composite Index Method. IACSIT International Journal of Engineering and Technology, 6 (6). pp. 481-486. http://dx.doi.org/ 10.7763/IJET.2014.V6.745 DOI: 10.7763/IJET.2014.V6.745
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Intan Suhana, Mohd Razelan
Hussain, Hamid
Teik Hwa, Law
Ahmad, Farhan
Identification of Hazardous Road Sections: Crash Data versus Composite Index Method
description In current road safety practices, the identification of hazardous road sections are normally based on crash data. However, the information provided by crash data may not be adequate to explain the causal factors that lead to a crash. Therefore, a different kind of road safety indicator that can extensively describe the actual road environment problems of a road section is considered essential. This paper considered fourteen road environment indicators based on their abilities to portray current road environment conditions and their potential towards road crash incidence. These indicators were collected using naturalistic driving technique within the 80-km road length connecting Kuantan and Maran town in the state of Pahang, Malaysia in which the composite road environment risk index was finally developed. This composite road environment risk index is found to be a useful proactive method to identify the potential problematic road sections that require urgent road improvement works as compared to the reactive crash data analysis method.
format Article
author Intan Suhana, Mohd Razelan
Hussain, Hamid
Teik Hwa, Law
Ahmad, Farhan
author_facet Intan Suhana, Mohd Razelan
Hussain, Hamid
Teik Hwa, Law
Ahmad, Farhan
author_sort Intan Suhana, Mohd Razelan
title Identification of Hazardous Road Sections: Crash Data versus Composite Index Method
title_short Identification of Hazardous Road Sections: Crash Data versus Composite Index Method
title_full Identification of Hazardous Road Sections: Crash Data versus Composite Index Method
title_fullStr Identification of Hazardous Road Sections: Crash Data versus Composite Index Method
title_full_unstemmed Identification of Hazardous Road Sections: Crash Data versus Composite Index Method
title_sort identification of hazardous road sections: crash data versus composite index method
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/6578/1/Identification_of_Hazardous_Road_Sections-_Crash_Data_versus_Composite_Index_Method.pdf
http://umpir.ump.edu.my/id/eprint/6578/4/Identification%20of%20Hazardous%20Road%20Sections.pdf
http://umpir.ump.edu.my/id/eprint/6578/
http://dx.doi.org/ 10.7763/IJET.2014.V6.745
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score 13.188404