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 road...

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Main Authors: Yaacob, Nur Fatma Fadilah, Rusli, Noradila, Bohari, Sharifah Norashikin, Mat Yazid, Muhamad Razuhanafi, Muhammad Das, Amsori
Format: Article
Published: UKM Press 2020
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Online Access:http://eprints.utm.my/id/eprint/90246/
http://dx.doi.org/10.17576/jkukm-2020-32(4)-18
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spelling my.utm.902462021-03-31T06:22:57Z http://eprints.utm.my/id/eprint/90246/ Integrated GIS tool for investigating the relationship of road characteristics with road traffic accidents Yaacob, Nur Fatma Fadilah Rusli, Noradila Bohari, Sharifah Norashikin Mat Yazid, Muhamad Razuhanafi Muhammad Das, Amsori TE Highway engineering. Roads and pavements 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. UKM Press 2020 Article PeerReviewed Yaacob, Nur Fatma Fadilah and Rusli, Noradila and Bohari, Sharifah Norashikin and Mat Yazid, Muhamad Razuhanafi 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 2289-7526 http://dx.doi.org/10.17576/jkukm-2020-32(4)-18
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TE Highway engineering. Roads and pavements
spellingShingle TE Highway engineering. Roads and pavements
Yaacob, Nur Fatma Fadilah
Rusli, Noradila
Bohari, Sharifah Norashikin
Mat Yazid, Muhamad Razuhanafi
Muhammad Das, Amsori
Integrated GIS tool for investigating the relationship of road characteristics with road traffic accidents
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.
format Article
author Yaacob, Nur Fatma Fadilah
Rusli, Noradila
Bohari, Sharifah Norashikin
Mat Yazid, Muhamad Razuhanafi
Muhammad Das, Amsori
author_facet Yaacob, Nur Fatma Fadilah
Rusli, Noradila
Bohari, Sharifah Norashikin
Mat Yazid, Muhamad Razuhanafi
Muhammad Das, Amsori
author_sort Yaacob, Nur Fatma Fadilah
title 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_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_sort integrated gis tool for investigating the relationship of road characteristics with road traffic accidents
publisher UKM Press
publishDate 2020
url http://eprints.utm.my/id/eprint/90246/
http://dx.doi.org/10.17576/jkukm-2020-32(4)-18
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score 13.18916