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Development of Framework for Estimating Fatality-Related Losses in the Korean Construction Industry

Bibliographic Data

ID15465764
AuthorsJaehyun Lee (0000-0001-5964-1871, Seoul National University of Science and Technology), Jaewook Jeong (0000-0002-7198-4620, Seoul National University of Science and Technology), Jayho Soh (0000-0003-3917-1045, Seoul National University of Science and Technology), Jaemin Jeong (0000-0002-1286-2260, Seoul National University of Science and Technology)
Year2021
Volume18
Issue16
Pages8787-8787
Publication date2021-08-20
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph18168787
PMID34444537
OpenAlexW3196227727
LanguageEN
Citations received1
References cited49

The number of fatalities in the construction industry is highest among all industries; thus, various losses in the form of fatalities in construction represent a significant factor for safety management. If a fatality occurs, it is important to estimate the overall loss, as a significant financial loss occurs for each project participant. However, in studies of the cost of accidents involving a fatality conducted abroad, the framework cannot be applied as it is because insurance types, systems, and legal cost systems differ by country. Therefore, we developed a framework for calculating the fatality loss considering various aspects of labor, industry, and regulations in Korea. This was done in four steps: (i) data collection and criteria selection; (ii) proposed framework development; (iii) conduct of questionnaire surveys for the case study; and (iv) analysis and evaluation of the case study. As a result of the data analysis after the case study of general construction companies, the total fatality loss was estimated to be 2,198,260 USD/person. The contributions of this study are the development of a framework composed of newly discovered items that can acquire reliable data in consideration of the properties of the construction industry

Actuarial science · Business · Case fatality rate · Construction engineering · Construction industry · Data collection · Environmental health · Operations management · Operations research · Population · Risk analysis (engineering · Statistics · Engineering · Mathematics · Medicine · Occupational Health and Safety Research · Risk and Safety Analysis · Transportation Systems and Infrastructure

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Citations per year0.25
Citation span2022 - 2022 (1)
Highly citedNo

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