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Comparative Predictive Model for Road Traffic Accidents Involving Bicycles in Ireland

Mykhalevskiy, Sergiy (2016) Comparative Predictive Model for Road Traffic Accidents Involving Bicycles in Ireland. Masters thesis, Dublin, National College of Ireland.

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Abstract

Recently many people choose the bicycle as a means of transportation because of low costs, avoiding traffic, convenient traffic and improving health. But the increase of cyclists on the roads is leading to increase accidents involving them. Due the vulnerability of the cyclists it is significant to identify the main factors contributing to increase in severity of accident occurrence in Ireland. The research explores this factors using Linear Regression, Multinomial Logit Regression, Decision Tree and Clustering and compares severity of cyclists collision in Dublin verses Cork and rural areas. The Multinomial Logistic Model predicts the probability in three injury severity outcomes: fatal, serious and minor. The analyses based on Road Safety Authority data between 2004 and 2013 in Ireland. The largest increase of the probability of fatal injury increases is caused by speed. Poor visibility on the roads increases fatality due to serious accidents. Interesting facts were relieved in comparison of accidents occurrence in Dublin, Cork and rural areas.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 27 Jan 2017 15:44
Last Modified: 27 Jan 2017 15:44
URI: http://trap.ncirl.ie/id/eprint/2521

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