A Novel Approach to Assessing Road-Curve Crash Severity

Andry Rakotonirainy; Samantha Chen; Bridie Scott-Parker; Seng Wai Loke; Shonali Krishnaswamy

doi:10.1080/19439962.2014.959585

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A Novel Approach to Assessing Road-Curve Crash Severity

Journal article

Open access

Peer reviewed

A Novel Approach to Assessing Road-Curve Crash Severity

Andry Rakotonirainy, Samantha Chen, Bridie Scott-Parker, Seng Wai Loke and Shonali Krishnaswamy

Journal of Transportation Safety and Security, Vol.7(4), pp.358-375

2015

DOI: https://doi.org/10.1080/19439962.2014.959585

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Research Statement (supplemental) Open Access

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Abstract

data mining

road curves

rough set analysis

text mining

education campaigns

Curves are a common feature of road infrastructure; however crashes on road curves are associated with increased risk of injury and fatality to vehicle occupants. Countermeasures require the identification of contributing factors. However, current approaches to identifying contributors use traditional statistical methods and have not used self-reported narrative claim to identify factors related to the driver, vehicle and environment in a systemic way. Text mining of 3434 road-curve crash claim records filed between 1 January 2003 and 31 December 2005 at a major insurer in Queensland, Australia, was undertaken to identify risk levels and contributing factors. Rough set analysis was used on insurance claim narratives to identify significant contributing factors to crashes and their associated severity. New contributing factors unique to curve crashes were identified (e.g., tree, phone, over-steer) in addition to those previously identified via traditional statistical analysis of Police and licensing authority records. Text mining is a novel methodology to improve knowledge related to risk and contributing factors to road-curve crash severity. Future road-curve crash countermeasures should more fully consider the interrelationships between environment, the road, the driver and the vehicle, and education campaigns in particular could highlight the increased risk of crash on road-curves.

Details

Title: A Novel Approach to Assessing Road-Curve Crash Severity
Authors: Andry Rakotonirainy (Author) - Queensland University of Technology
Samantha Chen (Author) - Queensland University of Technology
Bridie Scott-Parker (Author) - University of the Sunshine Coast - Faculty of Arts and Business
Seng Wai Loke (Author) - La Trobe University
Shonali Krishnaswamy (Author) - Monash University
Publication details: Journal of Transportation Safety and Security, Vol.7(4), pp.358-375
Publisher: Taylor & Francis Inc.
Date published: 2015
DOI: 10.1080/19439962.2014.959585
ISSN: 1943-9962
Copyright note: Copyright © 2015 Taylor & Francis Inc. Reproduced with permission. This is an electronic version of an article published in Journal of Transportation Safety and Security, 7:4. 358-375. Journal of Transportation Safety and Security is available online at: www.tandfonline.com/10.1080/19439962.2014.959585
Organisation Unit: School of Social Sciences - Legacy; School of Law and Society; Sustainability Research Cluster
Language: English
Record Identifier: 99449099802621
Output Type: Journal article

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Web Of Science research areas: Transportation

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