Freight-train derailment rates for railroad safety and risk analysis.

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.

[1]  Mohd Rapik Saat,et al.  Safety Effectiveness of Integrated Risk Reduction Strategies for Rail Transport of Hazardous Materials , 2013 .

[2]  Mohd Rapik Saat,et al.  Analysis of Causes of Major Train Derailment and Their Effect on Accident Rates , 2012 .

[3]  Daniel C Smith,et al.  Pipeline and Hazardous Materials Safety Administration , 2009 .

[4]  Dominique Lord,et al.  Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory. , 2005, Accident; analysis and prevention.

[5]  C. A. Geffen Assessment of the risk of transporting propane by truck and train , 1980 .

[6]  Christopher P. L. Barkan,et al.  Research Pays Off: Enhanced Tank Car Design Improves the Safety of Transporting Crude Oil and Alcohol by Rail , 2015 .

[7]  Theodore S. Glickman,et al.  Risks of Catastrophic Derailments Involving the Release of Hazardous Materials , 1984 .

[8]  J. Hilbe Negative Binomial Regression: Preface , 2007 .

[9]  S. Miaou The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions. , 1994, Accident; analysis and prevention.

[10]  Morteza Bagheri,et al.  Evaluation of Risk Associated with Stationary Dangerous Goods Railway Cars , 2007 .

[11]  Simon Washington,et al.  On the nature of over-dispersion in motor vehicle crash prediction models. , 2007, Accident; analysis and prevention.

[12]  A. Agresti An introduction to categorical data analysis , 1997 .

[13]  Doohee Nam,et al.  Accident prediction model for railway-highway interfaces. , 2006, Accident; analysis and prevention.

[14]  M J Maher,et al.  A comprehensive methodology for the fitting of predictive accident models. , 1996, Accident; analysis and prevention.

[15]  Christopher P. L. Barkan,et al.  Effect of Train Speed on Risk Analysis of Transporting Hazardous Materials by Rail , 2010 .

[16]  Athaphon Kawprasert Quantitative analysis of options to reduce risk of hazardous materials transportation by railroad , 2011 .

[17]  P R Nayak,et al.  EVENT PROBABILITIES AND IMPACT ZONES FOR HAZARDOUS MATERIALS ACCIDENTS ON RAILROADS , 1983 .

[18]  Steven V. Sawadisavi Development of machine-vision technology for inspection of railroad track , 2011 .

[19]  Christopher P. L. Barkan,et al.  Cooperative Research in Tank Car Safety Design: How Science and Engineering Are Reducing the Risk of Rail Transport of Hazardous Materials , 2013 .

[20]  Xiang Liu,et al.  Analysis of Derailments by Accident Cause , 2011 .

[21]  G R Wood Confidence and prediction intervals for generalised linear accident models. , 2005, Accident; analysis and prevention.

[22]  Srinivas Reddy Geedipally,et al.  Investigating the effect of modeling single-vehicle and multi-vehicle crashes separately on confidence intervals of Poisson-gamma models. , 2010, Accident; analysis and prevention.

[23]  M A Abdel-Aty,et al.  Exploring the relationship between alcohol and the driver characteristics in motor vehicle accidents. , 2000, Accident; analysis and prevention.

[24]  William R. Rhyne Hazardous Materials Transportation Risk Analysis: Quantitative Approaches for Truck and Train , 1994 .

[25]  Stephen E. Fienberg,et al.  The analysis of cross-classified categorical data , 1980 .

[26]  F F Saccomanno,et al.  MINIMIZING DERAILMENTS OF RAILCARS CARRYING DANGEROUS COMMODITIES THROUGH EFFECTIVE MARSHALING STRATEGIES , 1989 .

[27]  Xiang Liu Statistical Temporal Analysis of Freight Train Derailment Rates in the United States , 2015 .

[28]  W. B. Andrews ASSESSMENT OF THE RISK OF TRANSPORTING LIQUID CHLORINE BY RAIL , 1980 .

[29]  Xiang Liu,et al.  Accident Analysis and Prevention Analysis of U.s. Freight-train Derailment Severity Using Zero-truncated Negative Binomial Regression and Quantile Regression , 2022 .

[30]  Karen A. F. Copeland An Introduction to Categorical Data Analysis , 1997 .

[31]  Christopher P. L. Barkan,et al.  BENEFIT-COST EVALUATION OF USING DIFFERENT SPECIFICATION TANK CARS TO REDUCE THE RISK OF TRANSPORTING ENVIRONMENTALLY SENSITIVE CHEMICALS , 1991 .

[32]  Bryan Schlake Impact of automated condition monitoring technologies on railroad safety and efficiency , 2011 .

[33]  G R Wood,et al.  Generalised linear accident models and goodness of fit testing. , 2002, Accident; analysis and prevention.

[34]  Christopher P. L. Barkan,et al.  Railroad Accident Rates for Use in Transportation Risk Analysis , 2004 .

[35]  Shaw-Pin Miaou,et al.  Modeling Traffic Crash-Flow Relationships for Intersections: Dispersion Parameter, Functional Form, and Bayes Versus Empirical Bayes Methods , 2003 .

[36]  Fan Peng,et al.  Scheduling of track inspection and maintenance activities in railroad networks , 2011 .

[37]  Dominique Lord,et al.  Methodology for estimating the variance and confidence intervals for the estimate of the product of baseline models and AMFs. , 2008, Accident; analysis and prevention.

[38]  E Hauer,et al.  Overdispersion in modelling accidents on road sections and in empirical bayes estimation. , 2001, Accident; analysis and prevention.

[39]  Christopher P. L. Barkan,et al.  Effects of Route Rationalization on Hazardous Materials Transportation Risk , 2008 .

[40]  Dominique Lord,et al.  Modeling motor vehicle crashes using Poisson-gamma models: examining the effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter. , 2006, Accident; analysis and prevention.

[41]  Yu-Jiang Zhang,et al.  Objective Track Quality Indices , 2004 .

[42]  C. Tyler Dick,et al.  Railroad Derailment Factors Affecting Hazardous Materials Transportation Risk , 2003 .

[43]  C. Tyler Dick,et al.  Multivariate Statistical Model for Predicting Occurrence and Location of Broken Rails , 2003 .

[44]  Theodore S. Glickman REROUTING RAILROAD SHIPMENTS OF HAZARDOUS MATERIALS TO AVOID POPULATED AREAS , 1983 .

[45]  L. A. Goodman On the Exact Variance of Products , 1960 .