Analysis on accident-causing factors of urban buried gas pipeline network by combining DEMATEL, ISM and BN methods

Li, Feng; Wang, Wenhe; Dubljević, Stevan; Khan, Faisal; Jin, Xu; Yi, Jun

doi:10.1016/j.jlp.2019.06.001

Cited by 93 publications

(36 citation statements)

References 31 publications

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“…Xie and Liu (2019) [18] used it to establish a hierarchical structure of influencing factors and to distinguish cause and effect factors. Li, Wang, Dubljevic et al ( 2019) [19] used it to establish a hierarchical network model, which they mapped to a Bayesian network (BN) to further transform the conditional probability distribution; they quantified the strength of coupling relationships in an accident-causing system accordingly to determine main paths resulting in system failure. Sun, Zhou, Zhang et al ( 2019) [20] used it to integrate the interaction direction and intensity between failure factors and hierarchical factor structures, then used the analytic network process (ANP) to determine the relative importance of CNC equipment fault factors.…”

Section: Previous Applications Of Traditional Dematel-ism Integration Methodsmentioning

confidence: 99%

Improved DEMATEL-ISM integration approach for complex systems

Chen

2021

PLoS ONE

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Purpose Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) are commonly used separately, but also may be combined per their common characteristics to identify causal relationships and hierarchical structure among factors in complex systems with a relatively small computational burden. The purpose of this study is to establish an improved DEMATEL-ISM integration approach to remedy the disadvantages of the traditional DEMATEL-ISM integration method. A case study was conducted to compare the proposed improved integration approach against the traditional integration method, and to validate its feasibility and effectiveness. Methods The proposed improved DEMATEL-ISM integration approach has two main parts: a threshold determination via maximum mean de-entropy (MMDE) method and an additional transitivity check process. The factors influencing China’s rural-urban floating population’s willingness to participate in social insurance was analyzed as a case study. Results The traditional and improved methods show notable differences in the hierarchical factor structure and the inner influence relationship among factors that they respectively reveal. The traditional integration approach results in some irrationality, while the improved approach does not. Originality This study confirms the importance of proper threshold determination and reachability matrix transitivity checking during DEMATEL-ISM integration. The improved approach includes a scientific threshold determination method based on the MMDE method, plus a transitivity check of the reachability matrix with necessary corrections to ensure its soundness. It can be straightforwardly operated at a relatively low computational burden while providing accurate analysis results.

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Section: Previous Applications Of Traditional Dematel-ism Integration Methodsmentioning

confidence: 99%

Improved DEMATEL-ISM integration approach for complex systems

Chen

2021

PLoS ONE

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“…Subsequent to the identification of interrelationship, ISM then assists towards developing structures in a hierarchical manner. In order to integrate the DEMATEL results as input for ISM, conventional hit and trial techniques have been usually employed by many researchers to obtain cut-off value [36,37]. This approach is not only time consuming due to taking experts' opinions, but may also induce bias due to human intervention, which poses risk of inclusion or exclusion of a significant relation between two factors.…”

Section: Methodsmentioning

confidence: 99%

An Integrated Decision-Making Approach for Cause-And-Effect Analysis of Sustainable Manufacturing Indicators

et al. 2020

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Sustainability is a growing concern for manufacturing companies, as they are major contributors to pollution and consume a substantial portion of the world´s natural resources. Sustainable manufacturing can reduce waste, conserve energy and increase resource efficiency. However, one of the main challenges facing manufacturing organisations to put sustainability into practice is the lack of understanding of the cause-and-effect relationships between critical indicators of sustainable manufacturing. To overcome this challenge, a novel, rigorous and integrated framework, composed of four quantitative methods, is proposed to analyse critical indicators of sustainable manufacturing. The analysis is based on responses from both academic and industry experts. These four methods including DEMATEL (decision-making trial and evaluation laboratory), the MMDE (maximum mean de-entropy) algorithm, ISM (interpretive structural modelling) and SEM (structural equation modelling) are uniquely integrated to present statistically validated relationships between critical indicators using information on varying degrees of relationship between them. The final cause-and-effect models for the respondent groups (i.e., researchers and industry experts) are further validated through gathering the viewpoints of a researcher and an industry practitioner for its robustness. The novelty of our research lies in: (1) proposing a novel and integrated rigorous quantitative framework combined with qualitative research method; (2) applying the proposed framework to analyse contextual relationships between critical indicators of implementing sustainability, in the manufacturing sector as a whole, which to the best of authors' knowledge is the first of its kind; and (3) comparing and contrasting results of researchers and industry practitioners' groups along with a check of their validation and robustness.

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“…4. These risk factors are found from literature and expert knowledge (You et al, 2014;EGIG, 2018;Xing et al, 2020;Li et al, 2019;Halim et al, 2020). The BEs, IEs and TE in the FT model are explained in Table 1 and Table 2.…”

Section: Identification Of Integrated Hazardsmentioning

confidence: 99%

“…Currently, considerable efforts have been made on qualitative and quantitative risk studies of urban oil and gas pipelines. Li et al (2019) analyzed the cause of accidents based on a combination of DEMATEL, ISM, and BN to reduce pipeline network risk and avoid leak accidents. Xing et al (2020) studied urban pipeline accidents from a systematic perspective, and the direct and indirect causes of the accident were considered to deeply analyze the accident-causing factors and identify the risk associated with the leaks.…”

Section: Introductionmentioning

confidence: 99%

Dynamic probability assessment of urban natural gas pipeline accidents considering integrated external activities

Zhang

Yang

et al. 2021

Journal of Loss Prevention in the Process Industries

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Urban gas pipelines usually have high structural vulnerability due to long service time. The locations across urban areas with high population density make the gas pipelines easily exposed to external activities. Recently, urban pipelines may also have been the target of terrorist attacks. Nevertheless, the intentional damage, i.e. terrorist attack, was seldom considered in previous risk analysis of urban gas pipelines. This work presents a dynamic risk analysis of external activities to urban gas pipelines, which integrates unintentional and intentional damage to pipelines in a unified framework. A Bayesian network mapping from the Bow-tie model is used to represent the evolution process of pipeline accidents initiating from intentional and unintentional hazards. The probabilities of basic events and safety barriers are estimated by adopting the Fuzzy set theory and hierarchical Bayesian analysis (HBA). The developed model enables assessment of the dynamic probabilities of consequences and identifies the most credible contributing factors to the risk, given observed evidence. It also captures both data and model uncertainties. Eventually, an industrial case is presented to illustrate the applicability and effectiveness of the developed methodology. It is observed that the proposed methodology helps to more accurately conduct risk assessment and management of urban natural gas pipelines.

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Analysis on accident-causing factors of urban buried gas pipeline network by combining DEMATEL, ISM and BN methods

Cited by 93 publications

References 31 publications

Improved DEMATEL-ISM integration approach for complex systems

Improved DEMATEL-ISM integration approach for complex systems

An Integrated Decision-Making Approach for Cause-And-Effect Analysis of Sustainable Manufacturing Indicators

Dynamic probability assessment of urban natural gas pipeline accidents considering integrated external activities

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