2013RMIT Research Repository (RMIT University Library)Requires access

Factors contributing to crashes at intersections and mid- blocks: Study of two-vehicle crashes at Australian Capital Territory

Sareh Bahrololoom, Richard Tay, Clare D’Souza, Amir Sobhani

Open publisher page 0 citations

Abstract

Intersections are recognized as being among the most hazardous locations on the roads. Therefore, many jurisdictions around the world have set specific targets for the reduction in the number of deaths and serious injuries resulting from crashes at intersection. To achieve these goals and enhance road safety require a better understanding of the factors contributing to crashes at these hazardous locations in order to develop more targeted countermeasures. This study examines the effects of traffic characteristics, roadway design, vehicle features, collision types and road user characteristics on two-vehicle crashes at intersections compared to non-intersections in the Australian Capital Territory. These factors will be explored using chi-square tests and subsequently modelled using the binary logistic regression model. The results showed that the distribution of crash types is different for intersections and mid-blocks. We found that several roadway, environment, traffic, and crash characteristics had differential effects on intersections and mid-block crashes.

About this research paper

What this paper is about

Intersections are recognized as being among the most hazardous locations on the roads. Therefore, many jurisdictions around the world have set specific targets for the reduction in the number of deaths and serious injuries resulting from crashes at intersection. To achieve these goals and enhance road safety require a better understanding of the factors contributing to crashes at these hazardous locations in order to develop more targeted countermeasures. This study examines the effects of traffic characteristics, roadway design, vehicle features, collision types and road user characteristics on two-vehicle crashes at intersections compared to non-intersections in the Australian Capital Territory. These factors will be explored using chi-square tests and subsequently modelled using the binary logistic regression model. The results showed that the distribution of crash types is different for intersections and mid-blocks. We found that several roadway, environment, traffic, and crash characteristics had differential effects on intersections and mid-block crashes.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Intersections are recognized as being among the most hazardous locations on the roads. Therefore, many jurisdictions around the world have set specific targets for the reduction in the number of deaths and serious injuries resulting from crashes at intersection. To achieve these goals and enhance road safety require a better understanding of the factors contributing to crashes at these hazardous locations in order to develop more targeted countermeasures. This study examines the effects of traffic characteristics, roadway design, vehicle features, collision types and road user characteristics on two-vehicle crashes at intersections compared to non-intersections in the Australian Capital Territory. These factors will be explored using chi-square tests and subsequently modelled using the binary logistic regression model. The results showed that the distribution of crash types is different for intersections and mid-blocks. We found that several roadway, environment, traffic, and crash characteristics had differential effects on intersections and mid-block crashes.

Key concepts: Intersection (aeronautics), Crash, Transport engineering, Collision, Logistic regression, Binary logit model, Hazardous waste, Poison control

Related papers

Back to paper searchBrowse research topicsOriginal source
Factors contributing to crashes at intersections and mid- blocks: Study of two-vehicle crashes at Australian Capital Territory — Research Paper | ScholarLens