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Human factors analysis of a fatal gas explosion on June 13, 2021 in Shiyan City, China
12 references·0 citing·48 second hop
Human factors analysis of a fatal gas explosion on June 13, 2021 in Shiyan City, China (2023)Human factors analysis of a fatal gas exp…Critical aspects of natural gas pipelines risk assessments. A case-study application on buried layout (2020)Critical aspects of natural g…Human factors of fire and explosion accidents in petrochemical enterprises (2019)Human factors of fire and exp…Calculation of accident probability of gas pipeline based on evolutionary tree and moment multiplication (2019)Calculation of accident proba…Risk identification of third-party damage on oil and gas pipelines through the Bayesian network (2018)Risk identification of third-…A hybrid model for human factor analysis in process accidents: FBN-HFACS (2018)A hybrid model for human fact…Failure probability analysis of the urban buried gas pipelines using Bayesian networks (2017)Failure probability analysis …Lessons in process safety management learned in the K aohsiung gas explosion accident in T aiwan (2016)Lessons in process safety man…Bayesian network and bow tie to analyze the risk of fire and explosion of pipelines (2016)Bayesian network and bow tie …A comprehensive risk evaluation method for natural gas pipelines by combining a risk matrix with a bow-tie model (2015)A comprehensive risk evaluati…Analysis of pipeline accidents in the United States from 1968 to 2009 (2014)Analysis of pipeline accident…Quantitative risk analysis of urban natural gas pipeline networks using geographical information systems (2013)Quantitative risk analysis of…Human Error (1990)Human ErrorValue At Risk: The New Benchmark for Managing Financial Risk (2000)Power-Law Distributions in Empirical Data (2009)A statistical analysis of causes and consequences of the release of hazardous materials from pipelines. 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(1956)Fuzzy sets (1996)A novel extension of DEMATEL approach for probabilistic safety analysis in process systems (2019)Human Factors Analysis for Maritime Accidents Based on a Dynamic Fuzzy Bayesian Network (2020)Uncertainty modeling in risk assessment of digitalized process systems (2022)Estimation of failure probability of oil and gas transmission pipelines by fuzzy fault tree analysis (2005)Multi-attribute risk assessment for risk ranking of natural gas pipelines (2008)Probability Analysis and Prevention of Offshore Oil and Gas Accidents: Fire as a Cause and a Consequence (2021)Dynamic resilience assessment and emergency strategy optimization of natural gas compartments in utility tunnels (2022)Improved quantitative risk assessment of a natural gas pipeline considering high-consequence areas (2022)Ecological interface design: theoretical foundations (1992)Risk Perception and Communication Unplugged: Twenty Years of Process1 (1995)Humans and Automation: Use, Misuse, Disuse, Abuse (1997)
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References

  • 1990Human Error5,105 cited
  • 2018A hybrid model for human factor analysis in process accidents: FBN-HFACS199 cited
  • 2015A comprehensive risk evaluation method for natural gas pipelines by combining a risk matrix with a bow-tie model174 cited
  • 2017Failure probability analysis of the urban buried gas pipelines using Bayesian networks145 cited
  • 2013Quantitative risk analysis of urban natural gas pipeline networks using geographical information systems86 cited
  • 2018Risk identification of third-party damage on oil and gas pipelines through the Bayesian network85 cited
  • 2014Analysis of pipeline accidents in the United States from 1968 to 200968 cited
  • 2020Critical aspects of natural gas pipelines risk assessments. A case-study application on buried layout59 cited
  • 2016Bayesian network and bow tie to analyze the risk of fire and explosion of pipelines45 cited
  • 2016Lessons in process safety management learned in the K aohsiung gas explosion accident in T aiwan40 cited
  • 2019Human factors of fire and explosion accidents in petrochemical enterprises16 cited
  • 2019Calculation of accident probability of gas pipeline based on evolutionary tree and moment multiplication15 cited

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