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Identifying Black Spots Using Property Damage Only Equivalency (PDOE) Factors
Civil Engineering and Built Environment, Science and Engineering Faculty and Centre for Accident Research and Road Safety (CARRS-Q), Faculty of Health Queensland University of Technology.
Civil Engineering and Built Environment, Science and Engineering Faculty and Centre for Accident Research and Road Safety (CARRS-Q), Faculty of Health Queensland University of Technology.
The Korea Transport Institute.
The Korea Transport Institute.
2013 (English)In: Proceedings of the 16th International Conference Road Safety on Four Continents: Beijing, China. 15-17 May 2013, Linköping: Statens väg- och transportforskningsinstitut, 2013Conference paper, Published paper (Other academic)
Abstract [en]

Methodologies for identifying ‘sites with promise’ have received considerable attention in the transportation safety literature. Robust hot spot identification (HSID) methodologies are vital as errors result in either identifying a safe site as high risk (false positive) or a high risk site as safe (false negative) misuse of public funds and lead to poor investment decisions and inefficient risk management. The historical pursuit of HSID methods development has lead to important insights; however, there remain at least several critical impediments to further progress: 1) a significant proportion of property damage only (PDO) and minor injury crashes are underreported (approximately 40%), affecting the reliability of count based models; 2) most methods ignore crash severity and costs; and 3) expected safety performance functions are heavily skewed by a preponderance of zeroes. This paper argues that it is possible and indeed desirable to incorporate crash costs into HSID. Moreover, a straightforward method is proposed whereby crashes are intelligently weighted using property damage only equivalent (PDOE) crashes. The use of PDOEs enables identification of a set of high-risk sites that reflect the true safety costs to society and simultaneously reduces the influence of under-reported PDO crashes, thereby addressing impediments 1 and 2. Non-parametric Quantile regression is used to overcome the preponderance of zeroes problem (impediment 3). The proposed procedure is illustrated using rural road segment data from Korea.

Place, publisher, year, edition, pages
Linköping: Statens väg- och transportforskningsinstitut, 2013.
Keyword [en]
Accident black spot, Damage, Method, Collision, Cost
National Category
Infrastructure Engineering
Research subject
80 Road: Traffic safety and accidents, 82 Road: Geometric design and traffic safety; X RSXC
Identifiers
URN: urn:nbn:se:vti:diva-7361OAI: oai:DiVA.org:vti-7361DiVA: diva2:759339
Conference
16th International Conference Road Safety on Four Continents. Beijing, China (RS4C 2013). 15-17 May 2013
Available from: 2014-10-29 Created: 2014-10-29 Last updated: 2014-10-29Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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