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:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/6578/ http://umpir.ump.edu.my/id/eprint/6578/ http://umpir.ump.edu.my/id/eprint/6578/ 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

id	ump-6578
recordtype	eprints
spelling	ump-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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
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/ http://umpir.ump.edu.my/id/eprint/6578/ http://umpir.ump.edu.my/id/eprint/6578/ 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
first_indexed	2023-09-18T22:02:28Z
last_indexed	2023-09-18T22:02:28Z
_version_	1777414490094043136

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

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