Accident Model for Car on the Road Section of Highlands Region

DOI

10.2991/apte-18.2019.34How to use a DOI?

Keywords

Motorcycle accident, probability, socio-economic, movement, behavior, logistic regression

Abstract

Motorcycles as a mode of transportation its use continues to increase in the Surabaya City. One of the negative impacts is motorcycle accidents to increase. Based on IRSMS data are the involvement of motorcycles in the accidents of 82.6% (2,490 motorcycle accidents out of 3,014 accidents in Surabaya from 2014 - February 2017). This study was conducted to define the variables that provide opportunities for motorcycle accidents. Three approaches are used to determine the variables that provide probability for motorcycle accidents, which are based on socio-economic, movement and behavior characteristics. Logistic regression analysis is used to obtain the variable that has an effect on the probability of motorcycle accident. The results of research, the socio-economic characteristics that provide probabilities for motorcycle accidents that are gender and education. Based on the characteristics of movement, the chance of motorcycle accident is influenced by the frequency of motorcycle usage. While based on behavioral characteristics, preceding habits from the left have an effect on the chance of motorcycle accident.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sobri Abusini
AU  - Lasmini Ambarwati
PY  - 2019/10
DA  - 2019/10
TI  - Accident Model for Car on the Road Section of Highlands Region
BT  - Proceedings of the 11th Asia Pacific Transportation and the Environment Conference (APTE 2018)
PB  - Atlantis Press
SP  - 138
EP  - 142
SN  - 2352-5401
UR  - https://doi.org/10.2991/apte-18.2019.34
DO  - 10.2991/apte-18.2019.34
ID  - Abusini2019/10
ER  -