Investigation of Factors Related to Crash Severities of Towns and Built-Up Areas along Roads of East Azerbaijan Province

Proceedings of ‏The 4th International Academic Conference on Humanities and Social Sciences

Year: 2020

DOI:

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Investigation of Factors Related to Crash Severities of Towns and Built-Up Areas along Roads of East Azerbaijan Province

Hamid Shirmohammadi, Sonia Moshfeghi

ABSTRACT: 

Road crashes are one of the main causes of fatalities in the country. Therefore, it is important to study the factors affecting crashes. The purpose of this article is to investigate the factors related to the crash severities in the built-up areas and towns along the roads of East Azerbaijan province. The real data of crashes in these areas have been provided from Traffic Organization. In this study, the crash data in 3 to 32 kilometers of the highways and main roads of East Azerbaijan province from 2012 to 2018 have been investigated. The severity of crashes is considered in two modes of high intensity and low intensity, and 12 variables such as crash type, time, month, day, type of day, day market, types of vehicles, age, gender, weather, reason of crashes and the lighting are selected and the relationship between them is tested by Chi-square. The model has been developed by Binary Logistic Regression to predict the effect of each factor, and the validity and goodness-of-fit of the results have been investigated by using statistical hypotheses, Omnibus tests, predictive indexes, and ROC curves. Also, the determination coefficient has been determined by the Negelkerke test. The results of the models developed for all roads indicate that most of the high-intensity crashes may cause by cars collision, male driver with cars, during 16 to 20 hours, on Fridays (weekends), and in September and December.

Keywords: Roads Crashes, Crash Severities, Built-up Areas, Towns along Roads, Binary Logistic Regression.