Integrated GIS tool for investigating the relationship of road characteristics with road traffic accidents
Road accidents pose a serious economic and social problems given that the number of fatal accidents continue to rise at the national and international levels. This study investigates the relationship between three road parameters, namely number of lanes, level of service (LOS), and slope, with r...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2020
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| Online Access: | http://journalarticle.ukm.my/17208/ http://journalarticle.ukm.my/17208/1/18.pdf |
| _version_ | 1848814255122415616 |
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| author | Nur Fatma Fadilah Yaacob, Noradila Rusli, Sharifah Norashikin Bohari, Muhamad Razuhanafi Mat Yazid, Muhammad Das, Amsori |
| author_facet | Nur Fatma Fadilah Yaacob, Noradila Rusli, Sharifah Norashikin Bohari, Muhamad Razuhanafi Mat Yazid, Muhammad Das, Amsori |
| author_sort | Nur Fatma Fadilah Yaacob, |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | Road accidents pose a serious economic and social problems given that the number of fatal accidents continue to rise at the
national and international levels. This study investigates the relationship between three road parameters, namely number
of lanes, level of service (LOS), and slope, with road accidents. The data for road accidents were obtained from the Police
Department - Contingent Headquarters (IPK) Alor Setar, Kedah, the data for roads, namely number of lanes and traffic
volume, were obtained from Public Works Department (JKR), while the TanDEM-X Image was provided by the licensed
holder. The ArcGIS software 10.5 was used to process the data; this is followed by performing the regression and kernel
density estimation to determine the relationship between the parameters with accident cases. The majority of road accidents
in Kedah occurred on two-lane roads. LOS is negatively correlated with road accidents, which indicates that less accidents
occurred with higher level of flow. Slope is negatively correlated with road accidents, indicating that a smaller number of
accidents occurred on roads with higher slope values. Alor Setar and Sungai Petani have been identified as road traffic
accident hotspots for the period from 2013 to 2015. In summary, the findings of this study provide the relevant authority
such as the Traffic Police with the critical information required to make a better decision when formulating strategies to
reduce road traffic accidents. |
| first_indexed | 2025-11-15T00:31:10Z |
| format | Article |
| id | oai:generic.eprints.org:17208 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:31:10Z |
| publishDate | 2020 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:172082021-07-27T02:39:39Z http://journalarticle.ukm.my/17208/ Integrated GIS tool for investigating the relationship of road characteristics with road traffic accidents Nur Fatma Fadilah Yaacob, Noradila Rusli, Sharifah Norashikin Bohari, Muhamad Razuhanafi Mat Yazid, Muhammad Das, Amsori Road accidents pose a serious economic and social problems given that the number of fatal accidents continue to rise at the national and international levels. This study investigates the relationship between three road parameters, namely number of lanes, level of service (LOS), and slope, with road accidents. The data for road accidents were obtained from the Police Department - Contingent Headquarters (IPK) Alor Setar, Kedah, the data for roads, namely number of lanes and traffic volume, were obtained from Public Works Department (JKR), while the TanDEM-X Image was provided by the licensed holder. The ArcGIS software 10.5 was used to process the data; this is followed by performing the regression and kernel density estimation to determine the relationship between the parameters with accident cases. The majority of road accidents in Kedah occurred on two-lane roads. LOS is negatively correlated with road accidents, which indicates that less accidents occurred with higher level of flow. Slope is negatively correlated with road accidents, indicating that a smaller number of accidents occurred on roads with higher slope values. Alor Setar and Sungai Petani have been identified as road traffic accident hotspots for the period from 2013 to 2015. In summary, the findings of this study provide the relevant authority such as the Traffic Police with the critical information required to make a better decision when formulating strategies to reduce road traffic accidents. Penerbit Universiti Kebangsaan Malaysia 2020 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/17208/1/18.pdf Nur Fatma Fadilah Yaacob, and Noradila Rusli, and Sharifah Norashikin Bohari, and Muhamad Razuhanafi Mat Yazid, and Muhammad Das, Amsori (2020) Integrated GIS tool for investigating the relationship of road characteristics with road traffic accidents. Jurnal Kejuruteraan, 32 (4). pp. 683-691. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-324-2020/ |
| spellingShingle | Nur Fatma Fadilah Yaacob, Noradila Rusli, Sharifah Norashikin Bohari, Muhamad Razuhanafi Mat Yazid, Muhammad Das, Amsori Integrated GIS tool for investigating the relationship of road characteristics with road traffic accidents |
| title | Integrated GIS tool for investigating the relationship of road characteristics with road traffic accidents |
| title_full | Integrated GIS tool for investigating the relationship of road characteristics with road traffic accidents |
| title_fullStr | Integrated GIS tool for investigating the relationship of road characteristics with road traffic accidents |
| title_full_unstemmed | Integrated GIS tool for investigating the relationship of road characteristics with road traffic accidents |
| title_short | Integrated GIS tool for investigating the relationship of road characteristics with road traffic accidents |
| title_sort | integrated gis tool for investigating the relationship of road characteristics with road traffic accidents |
| url | http://journalarticle.ukm.my/17208/ http://journalarticle.ukm.my/17208/ http://journalarticle.ukm.my/17208/1/18.pdf |