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

Halim, Hasmar and Adisasmita, Sakti Adji and Ramli, Muhammad Isran and Aly, Sumarni Hamid and Prasetijo, Joewono (2017) A Relationship Model between Accident Factors and the Traffic Accident Severity Using Logistic Regression Model. International Journal of Engineering and Science Applications, 4 (2). ISSN ISSN : 2406-9833, e-ISSN : 24069833

[img]
Preview
Text
IJESCA_Vol 4, No 2 (2017).pdf

Download (341kB) | Preview
Official URL: http://pasca.unhas.ac.id/ojs/index.php/ijesca/inde...

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.

Item Type: Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Department of Civil Engineering > Teknik Konstruksi Sipil
Depositing User: hasmar halim
Date Deposited: 07 May 2020 23:57
Last Modified: 07 May 2020 23:57
URI: http://repository.poliupg.ac.id/id/eprint/1306

Actions (login required)

View Item View Item