Accident prevention through design (PtD): Integration of building information modeling and PtD knowledge base

Yuan, Jingfeng; Li, Xuewei; Xiahou, Xiaer; Tymvios, Nicholas; Zhou, Zhipeng; Li, Qiming

doi:10.1016/j.autcon.2019.02.015

Cited by 88 publications

(74 citation statements)

References 40 publications

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“…Furthermore, designers can alleviate safety accidents by choosing alternative technologies and improving project resilience [19]. Yuan et al realized that integrating the DFS knowledge base and Building Information Modelling (BIM) can evaluate safety risks during the design phase [20]. In addition, Szymberski [21] proposed the time-safety impact curve, and found that the ability to affect life cycle safety will reduce as the project proceeds.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid PSO–SVM Model Based on Safety Risk Prediction for the Design Process in Metro Station Construction

Liu

Xie

Bian

et al. 2020

IJERPH

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Incorporating safety risk into the design process is one of the most effective design sciences to enhance the safety of metro station construction. In such a case, the concept of Design for Safety (DFS) has attracted much attention. However, most of the current research overlooks the risk-prediction process in the application of DFS. Therefore, this paper proposes a hybrid risk-prediction framework to enhance the effectiveness of DFS in practice. Firstly, 12 influencing factors related to the safety risk of metro construction are identified by adopting the literature review method and code of construction safety management analysis. Then, a structured interview is used to collect safety risk cases of metro construction projects. Next, a developed support vector machine (SVM) model based on particle swarm optimization (PSO) is presented to predict the safety risk in metro construction, in which the multi-class SVM prediction model with an improved binary tree is designed. The results show that the average accuracy of the test sets is 85.26%, and the PSO–SVM model has a high predictive accuracy for non-linear relationship and small samples. The results show that the average accuracy of the test sets is 85.26%, and the PSO–SVM model has a high predictive accuracy for non-linear relationship and small samples. Finally, the proposed framework is applied to a case study of metro station construction. The prediction results show the PSO–SVM model is applicable and reasonable for safety risk prediction. This research also identifies the most important influencing factors to reduce the safety risk of metro station construction, which provides a guideline for the safety risk prediction of metro construction for design process.

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Section: Introductionmentioning

confidence: 99%

A Hybrid PSO–SVM Model Based on Safety Risk Prediction for the Design Process in Metro Station Construction

Liu

Xie

Bian

et al. 2020

IJERPH

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“…Therefore, Yuan et al [31] combined laws and regulations with the safety knowledge of experts, and established an automated construction safety inspection rule database system to improve the efficiency of traditional manual safety planning. By analyzing the information provided by the 3D model, Hallman [32] pointed out that the petrochemical industry needs to take safety protection measures during the design phase and construction phase, so that on-site operators, safety managers, and safety supervisors can acquire correct safety protection information in real time, which is critical to job safety management.…”

Section: Discussionmentioning

confidence: 99%

Integration of Safety Knowledge into Three-Dimensional Model Design and Construction Plan from the Perspective of Project Executors in Petrochemical Industry

Wen¹,

Liang²

2021

IJSSE

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In petrochemical industry, the execution of construction involves three main issues, namely, design planning, construction, and job safety. Three-dimensional (3D) models are increasingly applied to design and construction. However, the improper concept of 3D design has bred potential unsatisfactory behaviors and the lack of vigilance among workers. Besides, many employees are not fully aware of the safety in 3D design and construction planning. Therefore, our goal is to improve the safety and health of construction workers through design practices in the upstream of the construction phase, and verify the applicability of the combination of 3D models and safety knowledge. Specifically, a questionnaire survey was carried out among 124 employees in the construction-related fields of the petrochemical industry. The collected data were processed, and statically analyzed on SPSS. The results show that safety knowledge was acceptable in 3D model design from the perspective of project executors, and the integration of safety knowledge into the design helps to improve the safety environment of the construction site.

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“…China is also one of the largest construction industry and have developed models for safety using BIM. Areas such as BIM-based risk identification [39], accident prevention through design [40] are explored. Construction industry in the UK have also adopted BIM for various safety purposes, such as energy-efficient buildings [41], construction health and safety [42].…”

Section: Documents By Countries-phase II (Part A)mentioning

confidence: 99%

Bibliometric Survey for Adoption of Building Information Modeling (BIM) in Construction Industry– A Safety Perspective

Hire

Sandbhor

Ruikar

2021

Arch Computat Methods Eng

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The construction industry is multidisciplinary in nature and various operations are executed at the same time. One of the major resources for executing construction operations is the human workforce. Management of this workforce with effective safety provisions is a prime factor for reducing accidents on construction sites. Nowadays, technologies such as Building Information Modeling (BIM) offer the potential to manage safety on-site with their automatic safety checking capability. BIM is a model-based smart nD platform that offers tools for architecture, engineering, and construction proficients to plan, design, and manage construction activities more efficiently. Despite its growing use globally, BIM has not been adopted sufficiently in the Indian construction industry. This paper presents a bibliometric analysis of the adoption of BIM in the global construction and the Indian construction industry. It also reviews the adoption of BIM for safety in the global and Indian construction industry. The bibliometric analysis is carried out in two phases, at first it reviews the adoption of BIM globally, and limits the findings to cover BIM adoption in the Indian construction industry. Secondly, it reviews the adoption of BIM for safety in global construction and limits the findings to cover BIM adoption for safety in India. Various complementary tools such as VOSviewer, iMapbuilder have been used for data analysis. The research highlights the need for BIM in India particularly for safety on construction sites.

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Accident prevention through design (PtD): Integration of building information modeling and PtD knowledge base

Cited by 88 publications

References 40 publications

A Hybrid PSO–SVM Model Based on Safety Risk Prediction for the Design Process in Metro Station Construction

A Hybrid PSO–SVM Model Based on Safety Risk Prediction for the Design Process in Metro Station Construction

Integration of Safety Knowledge into Three-Dimensional Model Design and Construction Plan from the Perspective of Project Executors in Petrochemical Industry

Bibliometric Survey for Adoption of Building Information Modeling (BIM) in Construction Industry– A Safety Perspective

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