A Relationship Model between Accident Factors and the Traffic Accident Severity Using Logistic Regression Model

H Halim, M I Ramli, S. A Adisasmita, S. H Aly, J Prasetijo

Abstract


The present paper purposes to develop the relationship model between the factors of accidents and severity level of traffic accidents by using multinomial logistic regression model approach, for a case study the traffic accident in Makassar City, Indonesia. In further, the study evaluates the traffic accident factors which significantly influence the traffic accident severity level. In this regard, the outcome variable is the severity level of the traffic accident which has three attributes, i.e., death, serious injury, and minor injury. The explanatory variables involve victim characteristics and traffic accident characteristics. The present study used the traffic accident database during 2012 – 2015 which recorded by the traffic police agency in the city. The model calibration results show that the relationship model has a good accuracy level. The victim position and the collision types significantly influence the severity accident level. The results provide basic information for efforts in reducing traffic accidents. 


Keywords


Accident factors, traffic accidents severity, logistic regression model

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