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Human Risk Analysis And Evaluation Of Metro Construction Safety

Posted on:2017-01-28Degree:MasterType:Thesis
Country:ChinaCandidate:H L SunFull Text:PDF
GTID:2322330515963602Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
As an important means of urban transport,metro has received more and more attention,while the situation of its construction safety management is unoptimistic considering a growing number of safety incidents.Although human factor is the key factor in safety management,researches in the field of metro construction safety evaluation are limited..This thesis will fully identify human safety risk factors and analyze the cause-effect relationships among them.Through all these works,the overall evaluation of the human risk level of metro construction safety is then realized.Firstly,Human Factors Analysis and Classification System(HFACS)is revised to adapt to metro construction through expert review.Human risk factor set affecting the safety of metro construction is obtained.Secondly,this thesis extend traditional two-dimensional evaluation model,which considers probability and impact of individual risk factors,to five dimensions,i.e.,probability,impact,complexity,unpredictability and uncontrollability.Based on this,Competitive Compensation Risk Aggregation Algorithm(CCRAA)is used to assess single risk,forming single security risk assessment method,which provides support to metro project safety human risk assessment.Then analyze the cause-effect relationships and their strength among human factors in the HFACS model through expert interview.Intuition fuzzy entropy is used to weigh expert to avoid disturb caused by experts' subjectivity.An overall assessment method of human safety risk based on Bayesian network model is then established.Finally,the above evaluation method is applied to S metro line human security risk assessment.It is proved that the analysis framework and risk assessment method promoted in this thesis are validated.The major accident causation chains are found,enabling profound human risk countermeasures.
Keywords/Search Tags:HFACS, Bayesian Networks, Risk Aggregation
PDF Full Text Request
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