Early Warning of the Construction Safety Risk of a Subway Station Based on the LSSVM Optimized by QPSO

Zhang, Leian; Wang, Junwu; Wu, Han; Wu, Mengwei; Guo, Junhong; Wang, Sheng‐Min

doi:10.3390/app12115712

Cited by 7 publications

(7 citation statements)

References 37 publications

(78 reference statements)

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“…BPA(E) is [0.002, 0.106, 0.689, 0.098, 0.106], and BPA(G) is [0.01, 0.958, 0.025, 0, 0.006]. According to equation (3)(4)(5)(6),α is 0.77, β is 1.089, γ is [0.717, 0.572], and the confidence degree is [0.125, 0.162]. According to equation (7)(8) (m(A k ))-max(m(A p ), k≠p) is 0.624 (0.738-0.114=0.624), which is greater than or equal to 0.2.…”

Section: Results and Analysismentioning

confidence: 99%

“…BPA(E11) is [0, 0, 0.17, 0.657, 0.173], and BPA(E12) is [0.725, 0.007, 0, 0, 0.268]. According to equation (3)(4)(5)(6), the conflict degree (α) is 0.605, the variance degree (β) is 0.998, the uncertainty degree (γ) is calculated as [0.725, 0.68] and the confidence degree is [0.207, 0.22]. The corrected fused BPA is [0.356, 0.004, 0.091, 0.35, 0.2] by equation (7)(8).…”

Section: Results and Analysismentioning

confidence: 99%

“…Due to the complex and sensitive construction environment, a single data source is susceptible to electromagnetic interference, human subjective influence, and cannot reflect the construction site in real time, and there are fuzzy information in the obtained data. Therefore, multiple information sources are usually evaluated cooperatively to improve data reliability [4][5] . Cloud model (CM) was proposed in the 1990s and can be used to quantify qualitative data [6] .…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A collapse risk assessment method for subway foundation pit based on cloud model and improved Dempster-Shafer evidence theory

Zeng

Zhu

et al. 2023

Preprint

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Collapse is the main engineering hazard in the construction of open-cut foundation pit, and risk assessment is one of the important ways to reduce it. Aiming at the high conflicting evidence fusion failure, a fast convergence and highly reliable multi-data fusion method based on cloud model (CM) and improved Dempster-Shafer evidence theory is proposed, which can achieve accurate assessment of subway pit collapse risk. Firstly, CM is introduced to quantify the qualitative metrics. Then, A new correction parameter is defined for improving the conflicting among evidence bodies based on conflict degree, discrepancy degree and uncertainty, while a fine-tuning term is added to reduce the subjective effect of global focal element assignment. Finally, the risk level is obtained by the maximum affiliation principle. The method has been successfully applied to Luochongwei Station. The difference between the maximum value and the second largest value of the basic probability assignment is 0.624, and the global uncertainty degree is 0.087, both of which satisfy the decision evaluation condition, but other methods can only satisfy one or neither of them. And it requires only 5 cycles to reach the steady state by fusing data of the same index, which has faster convergence compared with other methods. The proposed method has good universality and effectiveness in subway pit collapse risk assessment.

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Section: Results and Analysismentioning

confidence: 99%

Section: Results and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A collapse risk assessment method for subway foundation pit based on cloud model and improved Dempster-Shafer evidence theory

Zeng

Zhu

et al. 2023

Preprint

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show abstract

“…Yu et al [23] identified safety risks in Chinese subway construction, including safety attitude, construction site safety, and government regulation. In addition, Zhang et al [24] classified subway safety risks into human, machine, management, material, and environmental risks based on accident causation theory and a literature review. Qie and Yan [25] categorized the five types of SCSR identified, including human-type safety risk, equipment-type safety risk, environmental-type safety risk, management-type safety risk, and safety culture-type, and concluded that the human-type risks are the key risks causing high-risk accidents.…”

Section: Literature Review 21 Safety Risk Identification Of Subway Co...mentioning

confidence: 99%

Research on Safety Risk Transfer in Subway Shield Construction Based on Text Mining and Complex Networks

Wu,

Zhang,

Huang

et al. 2023

Buildings

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Subway construction is often in a complex natural and human-machine operating environment, and that complicated setting leads to subway construction being more prone to safety accidents, which can cause substantial casualties and monetary losses. Thus, it is necessary to investigate the safety risks of subway construction. The existing literature on the identification and assessment of subway construction safety risks (SCSR) is susceptible to the influence of subjective factors. Moreover, although existing studies have explored the interrelationships between different risks, these studies usually analyze the interrelationships of single risks, lack the study of risk chain transfer relationships, and fail to find out the key path of risk transfer. Therefore, this paper innovatively combines text mining, association rules, and complex networks to deep mine subway construction safety incident reports and explore the risk transfer process. Firstly, it uses text mining technology to identify subway construction safety risks. Then, association rules are introduced to explore the causal relationships among safety risks. Finally, the key safety risks and important transfer paths of subway construction safety accidents (SCSA) are obtained based on the complex network model. Research results show that (a) improper safety management, unimplemented safety subject responsibilities, violation of operation rules, non-perfect safety responsibilities system and insufficient safety education and training are the key safety risks in SCSA; (b) two shorter key risk transfer paths in the subway construction safety network can be obtained: insufficient safety education and training→lower safety awareness→violation of operation rules→safety accidents; insufficient safety checks or hidden trouble investigations→violation of operation rules→safety accidents; (c) in the process of risk transfer, the risk can be controlled by controlling the key safety risk or cutting off the transfer paths. This paper provides new ideas and methods for SCSR identification and influence element mining, and the results of the study help safety managers propose accurate subway construction safety risk control measures.

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“…The reasons for risk are equally varied. Environmental changes, COVID-19, and mechanical failures can all lead to risks [13][14][15]. The damage can be significant if there is landslide, falling of large components, chemical blasting, or machine collapse [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

A Bibliometric Review on Safety Risk Assessment of Construction Based on CiteSpace Software and WoS Database

Junjia,

Alias,

Haron

et al. 2023

Sustainability

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As urbanization continues to grow around the world, the risks associated with construction are increasing. Scientific and practical risk assessments help reduce safety risks and achieve healthy, long-term growth, so there has been much research in this field. Through a review of the literature, this study aims to reveal the state and trends of research in the field of safety risk assessment. We searched 473 articles on construction risk assessment from the Web of Science (WoS) in the last decade, bibliometrically analyzed them, and then uncovered their significance using CiteSpace software (6.1. R6 (64-bit) Basic). The primary topics of conversation are countries, institutions, authors, and keywords, followed by references. According to the co-authorship analysis, the current research in this field is mainly from China, the USA, and Australia. Most influential authors currently have teaching or research positions at educational institutions; the most notable of which include Huazhong University of Science and Technology, Hong Kong Polytechnic University, and Tsinghua University. They form a relatively close network of institutional cooperation. Based on the results of the co-term analysis, this study found that the current research hotspots are mainly focusing on “multi-objective optimization”, “risk management”, “mechanical characterization”, “mental fatigue”, “accident prevention”, and many others. Data-driven, AI-assisted, and multi-stakeholder participation are the future trends in this field.

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Early Warning of the Construction Safety Risk of a Subway Station Based on the LSSVM Optimized by QPSO

Cited by 7 publications

References 37 publications

A collapse risk assessment method for subway foundation pit based on cloud model and improved Dempster-Shafer evidence theory

A collapse risk assessment method for subway foundation pit based on cloud model and improved Dempster-Shafer evidence theory

Research on Safety Risk Transfer in Subway Shield Construction Based on Text Mining and Complex Networks

A Bibliometric Review on Safety Risk Assessment of Construction Based on CiteSpace Software and WoS Database

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