Academic Journal
A Bibliometrics-Based Systematic Review of Safety Risk Assessment for IBS Hoisting Construction.
| Title: | A Bibliometrics-Based Systematic Review of Safety Risk Assessment for IBS Hoisting Construction. |
|---|---|
| Authors: | Junjia, Yin, Alias, Aidi Hizami, Haron, Nuzul Azam, Abu Bakar, Nabilah |
| Source: | Buildings (2075-5309); Jul2023, Vol. 13 Issue 7, p1853, 24p |
| Subject Terms: | Risk assessment, Artificial neural networks, Bibliometrics, Digital twin, Industrialism |
| Abstract: | Construction faces many safety accidents with urbanization, particularly in hoisting. However, there is a lack of systematic review studies in this area. This paper explored the factors and methods of risk assessment in hoisting for industrial building system (IBS) construction. Firstly, bibliometric analysis revealed that future research will focus on "ergonomics", "machine learning", "computer simulation", and "wearable sensors". Secondly, the previous 80 factors contributing to hoisting risks were summarized from a "human–equipment–management–material–environment" perspective, which can serve as a reference point for managers. Finally, we discussed, in-depth, the application of artificial neural networks (ANNs) and digital twins (DT). ANNs have improved the efficiency and accuracy of risk assessment. Still, they require high-quality and significant data, which traditional methods do not provide, resulting in the low accuracy of risk simulation results. DT data are emerging as an alternative, enabling stakeholders to visualize and analyze the construction process. However, DT's interactivity, high cost, and information security need further improvement. Based on the discussion and analysis, the risk control model created in this paper guides the direction for future research. [ABSTRACT FROM AUTHOR] |
| Copyright of Buildings (2075-5309) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: A Bibliometrics-Based Systematic Review of Safety Risk Assessment for IBS Hoisting Construction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Junjia%2C+Yin%22">Junjia, Yin</searchLink><br /><searchLink fieldCode="AR" term="%22Alias%2C+Aidi+Hizami%22">Alias, Aidi Hizami</searchLink><br /><searchLink fieldCode="AR" term="%22Haron%2C+Nuzul+Azam%22">Haron, Nuzul Azam</searchLink><br /><searchLink fieldCode="AR" term="%22Abu+Bakar%2C+Nabilah%22">Abu Bakar, Nabilah</searchLink> – Name: TitleSource Label: Source Group: Src Data: Buildings (2075-5309); Jul2023, Vol. 13 Issue 7, p1853, 24p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+neural+networks%22">Artificial neural networks</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink><br /><searchLink fieldCode="DE" term="%22Industrialism%22">Industrialism</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Construction faces many safety accidents with urbanization, particularly in hoisting. However, there is a lack of systematic review studies in this area. This paper explored the factors and methods of risk assessment in hoisting for industrial building system (IBS) construction. Firstly, bibliometric analysis revealed that future research will focus on "ergonomics", "machine learning", "computer simulation", and "wearable sensors". Secondly, the previous 80 factors contributing to hoisting risks were summarized from a "human–equipment–management–material–environment" perspective, which can serve as a reference point for managers. Finally, we discussed, in-depth, the application of artificial neural networks (ANNs) and digital twins (DT). ANNs have improved the efficiency and accuracy of risk assessment. Still, they require high-quality and significant data, which traditional methods do not provide, resulting in the low accuracy of risk simulation results. DT data are emerging as an alternative, enabling stakeholders to visualize and analyze the construction process. However, DT's interactivity, high cost, and information security need further improvement. Based on the discussion and analysis, the risk control model created in this paper guides the direction for future research. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Buildings (2075-5309) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/buildings13071853 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 1853 Subjects: – SubjectFull: Risk assessment Type: general – SubjectFull: Artificial neural networks Type: general – SubjectFull: Bibliometrics Type: general – SubjectFull: Digital twin Type: general – SubjectFull: Industrialism Type: general Titles: – TitleFull: A Bibliometrics-Based Systematic Review of Safety Risk Assessment for IBS Hoisting Construction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Junjia, Yin – PersonEntity: Name: NameFull: Alias, Aidi Hizami – PersonEntity: Name: NameFull: Haron, Nuzul Azam – PersonEntity: Name: NameFull: Abu Bakar, Nabilah IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 20755309 Numbering: – Type: volume Value: 13 – Type: issue Value: 7 Titles: – TitleFull: Buildings (2075-5309) Type: main |
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