Explaining Property Damage from Crashes at Signalized Intersections

Kofi Obeng and Mark Burkey

Transportation Planning and Technology, 2006, vol. 29, issue 3, 217-231

Abstract: In this article, we estimate a Tobit model of property damage costs of crashes that occur at signalized intersections with data from one US city -- Greensboro, North Carolina. The model includes data on technological variables, types of crash, types of vehicle, traffic and intersection characteristics, and driver condition at the time of crash. The results indicate that driver condition and type of vehicle contribute more to higher property damage costs than any other variable. Those variables that have negative effects on these costs are being a female driver, traffic volume, commercial and institutional land uses. From the results, we conclude that traffic countermeasures such as reducing the amber signal phase time and posting lower speed limits on urban roads could reduce property damage costs.

Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03081060600810972 (text/html)
Access to full text is restricted to subscribers.

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:taf:transp:v:29:y:2006:i:3:p:217-231

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GTPT20

DOI: 10.1080/03081060600810972

Access Statistics for this article

Transportation Planning and Technology is currently edited by Dr. David Gillingwater

More articles in Transportation Planning and Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().