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 exte...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
International Association of Computer Science and Information Technology
2014
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/37919/ http://psasir.upm.edu.my/id/eprint/37919/1/Identification%20of%20hazardous%20road%20sections%20crash%20data%20versus%20composite%20index%20method.pdf |
| _version_ | 1848848736167395328 |
|---|---|
| author | Mohd Razelan, Intan Suhana Hamid, Hussain Law, Teik Hua Mohd Sadullah, Ahmad Farhan |
| author_facet | Mohd Razelan, Intan Suhana Hamid, Hussain Law, Teik Hua Mohd Sadullah, Ahmad Farhan |
| author_sort | Mohd Razelan, Intan Suhana |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T09:39:14Z |
| format | Article |
| id | upm-37919 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:39:14Z |
| publishDate | 2014 |
| publisher | International Association of Computer Science and Information Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-379192015-12-29T09:51:44Z http://psasir.upm.edu.my/id/eprint/37919/ Identification of hazardous road sections: crash data versus composite index method Mohd Razelan, Intan Suhana Hamid, Hussain Law, Teik Hua Mohd Sadullah, Ahmad Farhan 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. International Association of Computer Science and Information Technology 2014-12 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/37919/1/Identification%20of%20hazardous%20road%20sections%20crash%20data%20versus%20composite%20index%20method.pdf Mohd Razelan, Intan Suhana and Hamid, Hussain and Law, Teik Hua and Mohd Sadullah, Ahmad Farhan (2014) Identification of hazardous road sections: crash data versus composite index method. International Journal of Engineering and Technology, 6 (6). pp. 481-486. ISSN 1793-8236; ESSN: 1793-8244 http://www.ijetch.org/index.php?m=content&c=index&a=show&catid=59&id=859 10.7763/IJET.2014.V6.745 |
| spellingShingle | Mohd Razelan, Intan Suhana Hamid, Hussain Law, Teik Hua Mohd Sadullah, Ahmad Farhan Identification of hazardous road sections: crash data versus composite index method |
| title | 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_short | Identification of hazardous road sections: crash data versus composite index method |
| title_sort | identification of hazardous road sections: crash data versus composite index method |
| url | http://psasir.upm.edu.my/id/eprint/37919/ http://psasir.upm.edu.my/id/eprint/37919/ http://psasir.upm.edu.my/id/eprint/37919/ http://psasir.upm.edu.my/id/eprint/37919/1/Identification%20of%20hazardous%20road%20sections%20crash%20data%20versus%20composite%20index%20method.pdf |