Does poor road condition increase crashes?

Toshihiro Yokoo, Mihai Marasteanu and David Levinson

No 158, Working Papers from University of Minnesota: Nexus Research Group

Abstract: In a region well known for its severe weather, maintaining pavements to meet high standards remains a challenge. Changes in weather states (such as the freeze-thaw cycle) leads to distresses in the pavement materials. There exist claims that poor pavement quality reduces the ability of roads to drain and reduces the ability of vehicles to resist skidding, and is thus associated with more crashes. In order to improve road safety, several pavement maintenance treatments are carried out, such as “rout and seal cracks” and “hot-mix patching” for improving pavement roughness and distress (Tighe et al., 2000). Others have found that crash rate depends on the pavement type and pavement condition. Crash rate of tined pavement sites is larger than the rate of ground pavement sites. When the pavement condition is wet or icy, crashes are more likely than under dry conditions (Drakopoulos et al., 1998). , When the pavement condition is poor, severe crashes are more likely, but when the pavement condition is very poor, severe crashes are less likely to occur than poor pavement conditions (Li et al., 2013). In accident rate estimation models, the results indicate that most important independent variable is “AADT”, and “geometric design” (lane width and access control) and “pavement condition” (friction, serviceability index, and pavement type) are also important variables (Karlaftis and Golias, 2002). Our research proposes to statistically test such claims of a relationship between incident number and road quality, while controlling for traffic data (AADT and percent truck), segment length, crash conditions (date, road characteristics, and road surface), and pavement type. To investigate the relationship, we combine data from various sources. We then conduct a statistical analysis for ascertaining the effects of good road quality on incident number and severity. This paper describes the data, methods, hypotheses, and results in turn.

Keywords: Road; quality (search for similar items in EconPapers)
JEL-codes: R41 R42 (search for similar items in EconPapers)
Date: 2016
New Economics Papers: this item is included in nep-tre
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/11299/181548 First version, 2016 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nex:wpaper:poorroads

Access Statistics for this paper

More papers in Working Papers from University of Minnesota: Nexus Research Group Contact information at EDIRC.
Bibliographic data for series maintained by David Levinson ( this e-mail address is bad, please contact ).