Accident prediction model for railway-highway interfaces

Oh, Jutaek, Washington, Simon P. and Nam, Doohee (2006) Accident prediction model for railway-highway interfaces. Accident Analysis and Prevention, 38 2: 346-356. doi:10.1016/j.aap.2005.10.004


Author Oh, Jutaek
Washington, Simon P.
Nam, Doohee
Title Accident prediction model for railway-highway interfaces
Journal name Accident Analysis and Prevention   Check publisher's open access policy
ISSN 0001-4575
1879-2057
Publication date 2006-03-01
Year available 2005
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1016/j.aap.2005.10.004
Open Access Status Not yet assessed
Volume 38
Issue 2
Start page 346
End page 356
Total pages 11
Place of publication Oxford, United Kingdom
Publisher Elsevier
Language eng
Abstract Considerable past research has explored relationships between vehicle accidents and geometric design and operation of road sections, but relatively little research has examined factors that contribute to accidents at railway-highway crossings. Between 1998 and 2002 in Korea, about 95% of railway accidents occurred at highway-rail grade crossings, resulting in 402 accidents, of which about 20% resulted in fatalities. These statistics suggest that efforts to reduce crashes at these locations may significantly reduce crash costs. The objective of this paper is to examine factors associated with railroad crossing crashes. Various statistical models are used to examine the relationships between crossing accidents and features of crossings. The paper also compares accident models developed in the United States and the safety effects of crossing elements obtained using Korea data. Crashes were observed to increase with total traffic volume and average daily train volumes. The proximity of crossings to commercial areas and the distance of the train detector from crossings are associated with larger numbers of accidents, as is the time duration between the activation of warning signals and gates. The unique contributions of the paper are the application of the gamma probability model to deal with underdispersion and the insights obtained regarding railroad crossing related vehicle crashes.
Keyword Gamma
International comparison
Negative binomial
Poisson
Railroad crossings
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collection: School of Civil Engineering Publications
 
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