Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/2087
Title: Factors influencing road accidents in Sri Lanka: a logistic regression approach
Authors: Dhananjaya, S.A.T.
Alibuhtto, M.C.
Keywords: Binary Logistic Regression Analysis
Drivers
Pedestrians
Road Traffic Accidents
Sri Lanka
Vehicles
Issue Date: 29-Dec-2016
Publisher: Faculty of Applied Sciences, South Eastern University of Sri lanka
Citation: Proceedings of Fifth Annual Science Research Sessions 2016 on "Enriching the Novel Scientific Research for the Development of the Nation" pp.157-173
Abstract: Road accidents are a major socio-economic problem in Sri Lanka. This study aims to identify the factors that mainly contribute to accident severity in Sri Lanka and to identify the significance of the factors for formulating the model. For this purpose, road accident yearly data were collected for the period of 2010 to 2014 from the Police Traffic Headquarters in Colombo and 13 factors were considered. In this study, Binomial Logistic Regression has been used to analyze the data due to the dichotomous nature of the dependent variable.Based on the results, concluded that variables such as light condition, age of the driver, the validity of the license, urban / rural, weather, vehicle type and age of the vehicle have a decreasing effect on the probability of a fatal accident. Similarly, remaining variables such as location type, alcohol test and accident cause have an increasing effect on the probability of a fatal accident. Among them, Accident Cause is the most important variable in the model.
URI: http://ir.lib.seu.ac.lk/handle/123456789/2087
ISBN: 9789556271027
Appears in Collections:ASRS - FAS 2016

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