TY - JOUR
T1 - Freight-train derailment rates for railroad safety and risk analysis
AU - Liu, Xiang
AU - Rapik Saat, M.
AU - Barkan, Christopher P.L.
N1 - The first author was supported in part by research grants from the Association of American Railroads , BNSF Railway , ABSG consulting , NEXTRANS University Transportation Center and a FHWA Dwight D. Eisenhower Transportation fellowship.
During preparation of this paper, the first author was also partially funded by the Department of Civil and Environmental Engineering, and the School of Engineering, both at Rutgers University. The second author was supported in part by the National University Rail (NURail) Center, a U.S. DOT OST-R Tier 1 University Transportation Center. The authors are grateful to Professor Yili Hong (Virginia Tech) and three anonymous reviewers for their constructive comments on several drafts of the manuscript.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Derailments are the most common type of train accident in the United States. They cause damage to infrastructure, rolling stock and lading, disrupt service, and have the potential to cause casualties, and harm the environment. Train safety and risk analysis relies on accurate assessment of derailment likelihood. Derailment rate – the number of derailments normalized by traffic exposure – is a useful statistic to estimate the likelihood of a derailment. Despite its importance, derailment rate analysis using multiple factors has not been previously developed. In this paper, we present an analysis of derailment rates on Class I railroad mainlines based on data from the U.S. Federal Railroad Administration and the major freight railroads. The point estimator and confidence interval of train and car derailment rates are developed by FRA track class, method of operation and annual traffic density. The analysis shows that signaled track with higher FRA track class and higher traffic density is associated with a lower derailment rate. The new accident rates have important implications for safety and risk management decisions, such as the routing of hazardous materials.
AB - Derailments are the most common type of train accident in the United States. They cause damage to infrastructure, rolling stock and lading, disrupt service, and have the potential to cause casualties, and harm the environment. Train safety and risk analysis relies on accurate assessment of derailment likelihood. Derailment rate – the number of derailments normalized by traffic exposure – is a useful statistic to estimate the likelihood of a derailment. Despite its importance, derailment rate analysis using multiple factors has not been previously developed. In this paper, we present an analysis of derailment rates on Class I railroad mainlines based on data from the U.S. Federal Railroad Administration and the major freight railroads. The point estimator and confidence interval of train and car derailment rates are developed by FRA track class, method of operation and annual traffic density. The analysis shows that signaled track with higher FRA track class and higher traffic density is associated with a lower derailment rate. The new accident rates have important implications for safety and risk management decisions, such as the routing of hazardous materials.
KW - Derailment rate
KW - Hazardous materials transportation
KW - Railroad safety
KW - Risk analysis
UR - http://www.scopus.com/inward/record.url?scp=84988565682&partnerID=8YFLogxK
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U2 - 10.1016/j.aap.2016.09.012
DO - 10.1016/j.aap.2016.09.012
M3 - Article
C2 - 27676241
AN - SCOPUS:84988565682
SN - 0001-4575
VL - 98
SP - 1
EP - 9
JO - Accident Analysis and Prevention
JF - Accident Analysis and Prevention
ER -