Risk assessment for construction of urban rail transit projects

Yan, Hongyan; Ce, Gao; Elzarka, Hazem; Mostafa, Kareem; Tang, Wenbin

doi:10.1016/j.ssci.2019.05.042

Cited by 52 publications

(30 citation statements)

References 30 publications

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“…Subjective method including analytic hierarchy method, subjective weighting method, Delphi method and comparison weighting method, mainly depends on experts' experience, which will likely lead to biased results by personal judgement. Objective method including entropy weight method, mean square method, principal component analysis method, coefficient of variation method, mainly relies on data collected, which has high accuracy in weight identification [32]. Therefore, this study adopted entropy weight method to determine the weight of evaluating indicators because of the advantage of fully focusing on the initial data of the sample.…”

Section: Methods and Materials A Entropy Weight Methodsmentioning

confidence: 99%

How to Improve Regional Innovation Quality From the Perspective of Green Development? Findings From Entropy Weight Method and Fuzzy-Set Qualitative Comparative Analysis

Zhang

2020

IEEE Access

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Innovation is increasingly becoming the most crucial and effective way to tackle climate change and environmental pollution. Recently, innovation quality has received continuous attention from scholars, entrepreneurs and policymakers. It is necessary to measure innovation quality from the perspective of green development. Based on the statistics data of 30 provincial-level innovation systems in China, this study comprehensively evaluates regional innovation quality and identifies the configuration of factors which could lead to high regional innovation quality. Firstly, this study establishes an indicator system of measuring regional innovation quality which includes seven indicators from three aspects of technological, economic and ecological benefit of innovative activities, and entropy weight method is used to comprehensively evaluate regional innovation quality. The result reveals there are big differences between different regions in China in innovation quality. In terms of three economic regions in China, innovation quality in the eastern region is the highest, followed by the central region and the lowest in the western region. Then, fuzzy-set qualitative comparative analysis method is applied, which uncovers three configurations of factors that could lead to high regional innovation quality. Finally, the conclusion of this study provides policy pathways for improving regional innovation quality. INDEX TERMS Regional innovation quality, configuration of factors, entropy weight method, fuzzy-set qualitative comparative analysis, china, green development perspective.

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Section: Methods and Materials A Entropy Weight Methodsmentioning

confidence: 99%

How to Improve Regional Innovation Quality From the Perspective of Green Development? Findings From Entropy Weight Method and Fuzzy-Set Qualitative Comparative Analysis

Zhang

2020

IEEE Access

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“…Monte Carlo [32], ontology [33], Bayesian network, and other methods have been applied in construction risk identification. BIM technology [34], queuing method [35], particle swarm optimization [36], combined dynamic weighting method [37], work decomposition structure (WBS)-risk decomposition structure (RBS) risk identification matrix [38], and other methods have been applied in construction risk evaluation. There are also related studies on the safety management of urban rail transit.…”

Section: Status Of Construction Riskmentioning

confidence: 99%

Risk Assessment of Urban Rail Transit PPP Project Construction Based on Bayesian Network

Liu

Jiao

et al. 2021

Sustainability

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In recent years, the accident rate of urban rail transit PPP (public–private partnerships) project under construction has been relatively high, and the issue of security risks has attracted great attention from all walks of life. Therefore, it is necessary to identify, analyze, and evaluate the issue of security risks of the urban rail transit PPP project. This paper takes the PPP project of urban rail transit as the object. Through offline interviews and surveys and online questionnaires, this paper focuses on identifying and analyzing the risks brought by the introduction of PPP mode to the urban rail transit project and its action mechanism. The risk evaluation method based on Bayesian network model is studied, which is described from three dimensions: risk occurrence probability, risk reasoning, and risk sensitivity. Finally, an example of Xuzhou Metro Line 3 is given to verify the feasibility of the proposed method. This study provides a reference basis for relevant practitioners and promotes the healthy development of the industry.

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“…They grouped the safety risks into three categories: geological, technical and environmental risks. Yan et al (2019) proposed a vague fuzzy matter-element risk assessment model through combining vague set and matter-element theory. In the model, the types of risks were divided into five categories according to the 4M1E (man, machine, material, method and environment) thinking.…”

Section: Literature Reviewmentioning

confidence: 99%

Identifying critical factors influencing the safety of Chinese subway construction projects

Zhang

Sunindijo

Loosemore

et al. 2020

ECAM

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PurposeThe image of the construction industry in China, as in many other countries, is tarnished by its poor safety record. With the rapid development of subway systems in Chinese urban areas, construction workers are being exposed to new risks which are poorly understood and managed. Subway construction projects are large scale and scattered over many construction sites, and involve numerous stakeholders and sophisticated technologies in challenging underground environments. Accident rates are high and have significant economic and social consequences for the firms and people involved. Addressing the gap in research about the safety risk in these projects, the purpose of this paper is to advance understanding of the factors influencing the safety of Chinese subway construction projects with the overall objective of reducing accident rates.Design/methodology/approachA survey was conducted with 399 subway construction professionals across five stakeholder groups. Follow-up interviews were also conducted with five experienced experts in safety management on subway projects to validate the results.FindingsIt was found that the eight most critical factors perceived by stakeholders to influence safety risks on Chinese subway projects are: project management team; contractor-related factors; site underground environment; safety protection during the use of machines; safety management investment; site construction monitoring and measurement; hazard identification and communication; and use of machines in all stages. This indicates that in allocating limited project resources to improve the safety of subway projects, managers should focus on: developing safety knowledge and positive attitudes in leadership teams; formulating effective risk management systems to identify, assess, mitigate, measure and monitor safety risks on site; improving communications with stakeholders about these risks and effectively managing plant, equipment and machinery.Originality/valueThis research contributes a new multi-stakeholder perspective to the lack of safety research in Chinese subway construction projects. The research findings provide important new insights for policymakers and managers in improving safety outcomes on these major projects, producing potentially significant social and economic benefits for society and the construction industry.

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Risk assessment for construction of urban rail transit projects

Cited by 52 publications

References 30 publications

How to Improve Regional Innovation Quality From the Perspective of Green Development? Findings From Entropy Weight Method and Fuzzy-Set Qualitative Comparative Analysis

How to Improve Regional Innovation Quality From the Perspective of Green Development? Findings From Entropy Weight Method and Fuzzy-Set Qualitative Comparative Analysis

Risk Assessment of Urban Rail Transit PPP Project Construction Based on Bayesian Network

Identifying critical factors influencing the safety of Chinese subway construction projects

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