A quantitative risk assessment model for evaluating hazmat transportation accident risk

Weng, Jinxian; Gan, Xiafan; Zhang, Zheyu

doi:10.1016/j.ssci.2021.105198

Cited by 23 publications

(12 citation statements)

References 23 publications

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“…According to a review of hazmat risk assessment literature between 1991 and 2020, many current risk assessment models are based on various simplifying assumptions, which leads to high uncertainty in the results. 35 These limitations/simplifying assumptions in reported literature include (i) applying a common national frequency uniformly on all road segments 29,30 or assuming that the frequency is uniform over entire administrative districts, 36 (ii) not using historical accident data and incident probabilities, 37,29 which are indispensable for a practicable QRA, and (iii) considering only population densities along the route for calculating the number of fatalities, which does not take into account the occupants of vehicles on the road who are more susceptible in the event of an accident. 36,37 All of these imply that the accuracy and practicability of risk assessment models must be improved further.…”

Section: Used Bowtie Analysis In a Bayesianmentioning

confidence: 99%

“…35 These limitations/simplifying assumptions in reported literature include (i) applying a common national frequency uniformly on all road segments 29,30 or assuming that the frequency is uniform over entire administrative districts, 36 (ii) not using historical accident data and incident probabilities, 37,29 which are indispensable for a practicable QRA, and (iii) considering only population densities along the route for calculating the number of fatalities, which does not take into account the occupants of vehicles on the road who are more susceptible in the event of an accident. 36,37 All of these imply that the accuracy and practicability of risk assessment models must be improved further. Furthermore, it is necessary to incorporate the risk amplification or mitigation contribution of road characteristics and traffic conditions.…”

Section: Used Bowtie Analysis In a Bayesianmentioning

confidence: 99%

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Risk Assessment Framework for Selecting the Safer Route for Hazmat Transportation Based on Accident Database and Vulnerability Models

Tasnim,

Tahmid,

Jahan

et al. 2023

ACS Chem. Health Saf.

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Accidents involving the transportation of hazardous materials (hazmats) may cause fatalities, injuries, and property damage along the transport route. It is thus imperative to adopt and implement a risk assessment and management framework that can be easily employed by decision/policymakers. This paper presents a quantitative risk assessment (QRA) framework to select the safest route for the transport of hazardous materials utilizing an accident database and human vulnerability models. Statistical models from relevant accident studies are used to determine the accident enhancing/mitigating contributions of different road geometrical features, which are then applied to data derived from an available database to determine accident frequencies. Consequences of accidents with humans are assessed using ALOHA and vulnerability models, while the risk is determined by combining both accident frequencies and consequences. The proposed method has been applied in a case study to assess the relative risks involved in LPG transportation along two different routes in Bangladesh and to identify the safer route. The effectiveness of a number of risk reduction measures has been assessed to manage risks, and the results of the risk assessment have been spatially presented on a geographical map. This map will help decision makers to make routing decisions and identify route sections that are most at risk to take appropriate emergency response actions and allocate medical and support services during emergencies.

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Section: Used Bowtie Analysis In a Bayesianmentioning

confidence: 99%

Section: Used Bowtie Analysis In a Bayesianmentioning

confidence: 99%

Risk Assessment Framework for Selecting the Safer Route for Hazmat Transportation Based on Accident Database and Vulnerability Models

Tasnim,

Tahmid,

Jahan

et al. 2023

ACS Chem. Health Saf.

View full text Add to dashboard Cite

show abstract

“…Have introduced Bayesian network (BN) to predict the accident of handling time to enhance the performance of emergency rescue in transportation accidents of hazardous materials. Weng et al [8] developed a quantitative risk assessment for the hazmat transportation accident in which the possible accident scenarios are identified by an event tree with help of six intermediate events. Ghaleh et al [9].…”

Section: Introductionmentioning

confidence: 99%

Cost and Risk Prediction in Road Transportation of Hazmat by ANFIS Trained with PSO, FA, HBBO and ICA

Mourad¹,

Zennir²,

Tolba³

2022

IJSSE

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This paper proposes adaptive neuro-fuzzy inference system (ANFIS) to predict the risk with its aggregated cost (CR) of an accident in road transportation of hazardous material, the aim is to provide a more accurate and reliable data for the safety of transportation. The determination risk index by the conventional methods such as Risk graphs and deterministic approaches may lead to imprecise values due to the uncertainties, in both parameters and models. The proposed technique is a hybrid schema, which combines the main advantageous of fuzzy logic (address uncertainties) and neural network (learn from a given data). In other hand our study seeks to tune the parameters of the proposed model by particle swarm optimization (PSO), firefly algorithm (FA), imperialist competitive algorithm (ICA) and human based-behavior optimization (HBBO) and hence optimize the performance of ANFIS. The simulation result of this work and the comparative analysis shows that ANFIS yield height performance and the ANFIS-PSO was the outstanding one in the training phase, while ANFIS-FA gives better results in the testing process.

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“…15 Chakrabarti and Parikh have proposed a risk-based approach to the HazMat transportation route evaluation by considering the probability of the collision accident and its consequences. 16 A more advanced quantitative risk assessment model was developed by Weng et al 14 for evaluating HazMat transportation accident risk. Zhong et al have investigated the vulnerability of the HazMat highway transportation network by quantifying the Impact Strength of each link in the entire network.…”

Section: Introductionmentioning

confidence: 99%

“…They may vary from human errors to severe weather conditions . Various approaches have been applied to the risk assessment of HazMat transportation, which includes conventional statistical methods, the F–N curve, the event tree, and the Bayesian network . Chakrabarti and Parikh have proposed a risk-based approach to the HazMat transportation route evaluation by considering the probability of the collision accident and its consequences .…”

Section: Introductionmentioning

confidence: 99%

A Safety Function Deployment Approach to Risk Management of HazMat Highway Transportation

Zhigerbayeva

Yang

2021

ACS Chem. Health Saf.

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Various methods have been developed to ensure the safe transportation of hazardous materials (HazMat). These methods span from conventional statistical methods to modern risk management approaches. An essential question is how to establish the linkages between the regulatory requirements and the safety measures. The analysis of historical data from the past accident report databases would limit our focus on the specific incidents and their causes. Thus, we may overlook some critical elements in risk management, including regulatory compliance, expert opinions, and suggestions. It is necessary to develop a systematic approach that can translate the regulatory requirements of HazMat transportation into specified safety measures (both technical and administrative) to support the risk management. This study develops a structured and transparent method that integrates the quality function deployment (QFD) and risk assessment, namely, safety function deployment (SFD), to identify potential risks and find critical safety barriers for HazMat highway transportation. The proposed method is demonstrated by a hypothetical case study. The approach can serve as a tool to map the safety requirement into specific safety barriers to minimize the risk of HazMat highway transportation.

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A quantitative risk assessment model for evaluating hazmat transportation accident risk

Cited by 23 publications

References 23 publications

Risk Assessment Framework for Selecting the Safer Route for Hazmat Transportation Based on Accident Database and Vulnerability Models

Risk Assessment Framework for Selecting the Safer Route for Hazmat Transportation Based on Accident Database and Vulnerability Models

Cost and Risk Prediction in Road Transportation of Hazmat by ANFIS Trained with PSO, FA, HBBO and ICA

A Safety Function Deployment Approach to Risk Management of HazMat Highway Transportation

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