Integrated GIS tool for investigating the relationship of road characteristics with road traffic accidents

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

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Official URL: https://www.ukm.my/jkukm/volume-324-2020/

Abstract

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.

Item Type:Article
Keywords:Road accidents; Number of lanes; Level of Service (LOS); Slope; GIS application
Journal:Jurnal Kejuruteraan
ID Code:17208
Deposited By: ms aida -
Deposited On:26 Jul 2021 04:42
Last Modified:27 Jul 2021 02:39

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