A simultaneous equations model of crash frequency by collision type for rural intersections

Ye, Xin, Pendyala, Ram M., Washington, Simon P., Konduri, Karthik and Oh, Jutaek (2017) A simultaneous equations model of crash frequency by collision type for rural intersections. Safety Science, 47 3: 443-452. doi:10.1016/j.ssci.2008.06.007


Author Ye, Xin
Pendyala, Ram M.
Washington, Simon P.
Konduri, Karthik
Oh, Jutaek
Title A simultaneous equations model of crash frequency by collision type for rural intersections
Journal name Safety Science   Check publisher's open access policy
ISSN 0925-7535
Publication date 2017-03-01
Sub-type Article (original research)
DOI 10.1016/j.ssci.2008.06.007
Open Access Status Not yet assessed
Volume 47
Issue 3
Start page 443
End page 452
Total pages 10
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Language eng
Abstract Safety at roadway intersections is of significant interest to transportation professionals due to the large number of intersections in transportation networks, the complexity of traffic movements at these locations that leads to large numbers of conflicts, and the wide variety of geometric and operational features that define them. A variety of collision types including head-on, sideswipe, rear-end, and angle crashes occur at intersections. While intersection crash totals may not reveal a site deficiency, over exposure of a specific crash type may reveal otherwise undetected deficiencies. Thus, there is a need to be able to model the expected frequency of crashes by collision type at intersections to enable the detection of problems and the implementation of effective design strategies and countermeasures. Statistically, it is important to consider modeling collision type frequencies simultaneously to account for the possibility of common unobserved factors affecting crash frequencies across crash types. In this paper, a simultaneous equations model of crash frequencies by collision type is developed and presented using crash data for rural intersections in Georgia. The model estimation results support the notion of the presence of significant common unobserved factors across crash types, although the impact of these factors on parameter estimates is found to be rather modest.
Keyword Collision type
Crash frequency
Intersection safety
Multivariate Poisson regression
Simultaneous equations model
Unobserved heterogeneity
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Civil Engineering Publications
 
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Created: Tue, 07 Mar 2017, 16:27:05 EST by Jeannette Watson on behalf of Learning and Research Services (UQ Library)