Development of crash modification factors for Intersections in Toowoomba city

Article

Al-Marafi, Mohammad Nour, Somasundaraswaran, Kathirgamalingam and Bullen, Frank. 2021. "Development of crash modification factors for Intersections in Toowoomba city." International Journal of Urban Sciences. 25 (1), pp. 104-123. https://doi.org/10.1080/12265934.2020.1743739
Article Title

Development of crash modification factors for Intersections in Toowoomba city

ERA Journal ID124389
Article CategoryArticle
AuthorsAl-Marafi, Mohammad Nour (Author), Somasundaraswaran, Kathirgamalingam (Author) and Bullen, Frank (Author)
Journal TitleInternational Journal of Urban Sciences
Journal Citation25 (1), pp. 104-123
Number of Pages20
Year2021
Place of PublicationUnited Kingdom
ISSN1226-5934
Digital Object Identifier (DOI)https://doi.org/10.1080/12265934.2020.1743739
Web Address (URL)https://www.tandfonline.com/doi/full/10.1080/12265934.2020.1743739
Abstract

This research outlines the analytical approaches that may be employed to recommend multiple treatments for application to improve safety level at hazardous intersections in regional areas. Data from 106 intersections in the regional city of Toowoomba, Queensland, Australia were used in modelling and subsequent analysis. Specifically, crash prediction models were developed to estimate crash modification factors that could be used to propose remedial measures. A total of sixteen geometric and operational conditions were used as explanatory variables including the number of legs at an intersection, the availability of entering and exiting via through lanes, the presence of left-turning lanes, right-turning lanes, slip lanes, median islands, traffic control, and speed limits on the feed roads. The Empirical Bayes approach was employed to identify five hazardous intersections in Toowoomba for further investigation. The four most suitable techniques for estimating combined crash modification factors were reviewed and then used to propose effective road safety measures for the five selected hazardous intersections. Finally, this research suggests four future areas worthy of further investigation.

KeywordsCrash prediction models, road safety measures, Empirical-Bayes method, crash modification factors, hazardous intersections
ANZSRC Field of Research 2020400512. Transport engineering
Byline AffiliationsSchool of Civil Engineering and Surveying
Institution of OriginUniversity of Southern Queensland
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