Factors Affecting Hit and Run Bicycle Crashes in Victoria, Australia
Keywords: Poster
ACRS
Submission Date: 2017 Conference: ARSC
Abstract
This study explores the factors that increase the likelihood of hit and run in bicycle crashes. The data of bicycle crashes from 2004 to 2010 in Victoria, Australia, is used. These factors are explored using chi-square tests and subsequently modelled using a binary logistic regression model. The results of the analysis showed that crash time, bicyclist’s age and gender, helmet use (for bicyclist), other road user’s movement intent, bicyclist’s movement intent, traffic control (other road user’s approach), traffic control (bicyclist’s approach) and crash severity are significant variables affecting the hit and run bicycle crashes.