Risk Comparison of Transporting Hazardous Materials in Unit Trains versus Mixed Trains

2017 ◽  
Vol 2608 (1) ◽  
pp. 134-142 ◽  
Author(s):  
Xiang Liu

This research developed an integrated, generalized risk analysis methodology for comparing hazardous materials transportation risk in unit trains versus mixed trains for the same amount of traffic demand. The risk methodology accounted for FRA track class, method of operation, annual traffic density, train length, speed, point of derailment, the number and placement of tank cars in a train, tank car placement, tank car safety design, and population density along the rail line. With these inputs, the methodology estimates train derailment rate, the probability of tank car derailment and release, and release consequence by train configuration. The analysis showed that tank car positions could affect the risk comparison between unit trains and mixed trains in transporting hazardous materials. In particular, if all tank cars were in positions that were least prone to derailment, distributing tank cars to many unit trains could reduce the overall risk. Otherwise, consolidating tank cars into unit trains could lead to a lower risk. The methodology has been implemented in a computer-aided decision support tool that automatically calculates the risk values for various track, rolling stock, and operational characteristics.

Author(s):  
Xiang Liu ◽  
Tejashree Turla ◽  
Zhipeng Zhang

Rail plays a key role in the transportation of hazardous materials (hazmat). Improving railroad hazmat transportation safety is a high priority for both industry and government. Many severe railroad hazmat release incidents occur because of train accidents. The Federal Railroad Administration identifies over 300 accident causes, including infrastructure defects, rolling stock failures, human factors, and other causes. Understanding how hazmat transportation risk varies with accident cause is a key step in identifying, developing, evaluating, and prioritizing cost-justified accident prevention strategies, thereby mitigating hazmat transportation risk. The objective of this paper is to develop an integrated, generalized risk analysis methodology that can estimate accident-cause-specific hazmat transportation risk, accounting for various train and track characteristics, such as train length, speed, point of derailment, the number and placement of tank cars in a train, tank car safety design, and population density along rail lines. Using the two major causes of accidents on freight railroads—broken rails and track geometry defects—as an example, this paper demonstrates a step-by-step analytical procedure and decision support tool to assess how accident frequency, severity, and hazmat transportation risk vary by accident cause. The research method can be adapted for risk analysis at corridor- or network-level accounting for other accident causes.


Author(s):  
Zheyong Bian ◽  
Xiang Liu

Abstract Rail plays an important role in hazmat transportation, transporting over two million carloads of hazardous materials (hazmat) in the United States annually. Compared with a truck trailer carrying a single hazmat car, a train has much more severe consequence of hazmat release due to carrying multiple connected hazmat cars (e.g., 50 to 120 flammable liquid cars). It is of high priority for the government and railroad companies to enhance the railroad hazmat transportation safety since the train accidents can cause severe railroad hazmat release incidents. Based on the data provided by Federal Railroad Administration (FRA) of the U.S. Department of Transportation (U.S.DOT), there are over 300 accident causes, including infrastructure failure defects, rolling stock failures, human errors, weather conditions, etc. It is significant to understand the relationship between hazmat transportation risk and accident cause to provide guidance for developing, evaluating, and prioritizing accident prevention strategies, thereby mitigating hazmat transportation risk. Therefore, this paper reviews the literature on rail transport of hazmat release risk analysis in order to capture the event chain leading to hazmat release, possible risk factors, and the state of the art on existing risk analysis methodologies. We reviewed the related references based on a five-step process: (1) train accident occurrence, (2) number of cars derailed, (3) number of hazardous material cars derailed, (4) number of hazmat cars releasing, and (5) release consequences. First, many severe hazmat release incidents are caused by train accidents, particularly train derailments. Prior research found that over 70% of freight train mainline derailments were caused by either infrastructure defects or rolling stock failures. Possible strategies for reducing the probability of train accidents include the prevention of track defects, equipment condition monitoring to reduce in-service failures, and the use of more advanced train control technologies to reduce human error. Second, number of cars derailed is an important factor causing hazmat releasing. Based on the reviewed literature, the total number of cars derailed depends on accident cause, speed, train length, and point of derailment. Third, the literature implied that the total number of hazmat cars derailed is related to train length, number of hazmat cars and non-hazmat cars in a train, and their placement. Fourth, the number of hazmat cars releasing contents is influenced by hazardous materials car safety design, accident speed, etc. Finally, the consequences of a release can be measured by different metrics, such as property damage, environmental impact, traffic delay, or the affected population. Geographical information systems (GIS) can be used for consequence analysis integrated with other databases such as census and rail network data.


2011 ◽  
Vol 361-363 ◽  
pp. 1230-1239
Author(s):  
Zong Feng Zou ◽  
Bao Quan Zhang

The related issues of hazardous materials transportation in recent years are summarized and reviewed from the following aspects: hazardous materials transportation risk evaluation models, road routing models, the application of related technology, early warning for emergency response and joint action mechanism and platform construction, the research situation and development pattern of unified monitoring platform, etc. Analysis shows that it is essential to establish more in-depth and scientific quantitative models based on the attainment of more comprehensive and continuous data as well as the consideration of various constraints. It is a direction for future research to develop comprehensive application of technology and to establish HAZMAT transportation joint control platform in large area, and the leading and facilitating role of government should be paid more attention on joint control platform construction in large area.


2020 ◽  
Vol 2020 ◽  
pp. 1-16 ◽  
Author(s):  
Changxi Ma ◽  
Jibiao Zhou ◽  
Xuecai (Daniel) Xu ◽  
Fuquan Pan ◽  
Jin Xu

To comprehensively understand the research progress of the fleet scheduling for hazardous materials, the study has summarized the corresponding research results from three aspects (a) hazardous materials transportation risk, (b) route optimization, and (c) fleet scheduling, and then pointed out potential problems from six aspects: (a) the coupling risk of the transport fleet; (b) the screening of time and space for the transport of hazardous materials; (c) the scheduling optimization for transport fleets; (d) taking insufficient account of transport risks fairness; (e) insufficient robustness of scheduling schemes; and (f) lacking of research results on fleet scheduling of transport in the context of antiterrorism. After that, by considering the existing shortcomings of the current research, five research directions are presented that should be further explored in the future. Subsequently, both rough set and association rule theory is applied to explore the cause chain of transportation accidents for hazardous materials, and analyze the mechanism of transport accident for hazardous materials. Next, the Bayesian network is presented to predict the accident rate of hazardous materials transportation under different temporal and spatial conditions, and the dynamic rolling scheduling method of hazardous materials transport fleet is constructed under normal and antiterrorism background.


Author(s):  
Mark Abkowitz ◽  
Eric Meyer

The development and implementation of a methodology by which evacuation planners can assess the sufficiency of their current evacuation plan, identify inadequacies, and define and evaluate potential improvement strategies are discussed. Such goals are accomplished through innovative uses of information technology and the development of a modeling environment that builds on previous work by introducing more representative and efficient algorithms. The new evacuation planning methodology is subsequently applied to a fixed facility incident scenario to demonstrate its applicability to present practice. In this context, several important conclusions are reached, illustrating the importance of having this type of decision-support tool available. Advancements made to the state of the art are assessed and further research needs in this critical and emerging field are identified.


Author(s):  
Christopher P. L. Barkan ◽  
C. Tyler Dick ◽  
Robert Anderson

U.S. freight railroad accident and hazardous materials release rates have declined substantially since 1980. Ironically, this trend has made the identification and implementation of further safety improvement options more challenging because less empirical information exists on which accident causes present the greatest risks. Consequently, more sophisticated methods are needed to identify the best options for transportation risk reduction. Of particular interest is identifying the principal causes of accidents that can result in a tank car release of hazardous materials, which can harm people, property, and the environment. Because large hazardous materials release accidents are relatively rare, railroads cannot effectively manage safety improvement efforts solely in response to the causes of specific accidents. Instead, a risk-based approach is needed to better understand predictive factors for conditions that can cause a release. Railroad derailment data were analyzed to identify the conditions most likely to lead to a release accident. The objective was to identify proxy variables that can be used as performance measures. The speed of derailment and number of derailed cars highly correlated with hazardous materials releases. Some accident causes are much more likely to lead to release conditions than others. Accident prevention efforts to reduce these causes are more likely to reduce the risk of major railroad hazardous materials release accidents.


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