Quantifying the Third-Party Loss in Building Construction Sites Utilizing Claims Payouts: A Case Study in South Korea
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- Sang-Guk Yum & Sungjin Ahn & Junseo Bae & Ji-Myong Kim, 2020. "Assessing the Risk of Natural Disaster-Induced Losses to Tunnel-Construction Projects Using Empirical Financial-Loss Data from South Korea," Sustainability, MDPI, vol. 12(19), pages 1-15, September.
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- Junseo Bae & Sang-Guk Yum & Ji-Myong Kim, 2021. "Harnessing Machine Learning for Classifying Economic Damage Trends in Transportation Infrastructure Projects," Sustainability, MDPI, vol. 13(11), pages 1-12, June.
- Ji-Myong Kim & Kwang-Kyun Lim & Sang-Guk Yum & Seunghyun Son, 2022. "A Deep Learning Model Development to Predict Safety Accidents for Sustainable Construction: A Case Study of Fall Accidents in South Korea," Sustainability, MDPI, vol. 14(3), pages 1-17, January.
- Ji-Myong Kim & Junseo Bae & Seunghyun Son & Kiyoung Son & Sang-Guk Yum, 2021. "Development of Model to Predict Natural Disaster-Induced Financial Losses for Construction Projects Using Deep Learning Techniques," Sustainability, MDPI, vol. 13(9), pages 1-12, May.
- Ralf Dethlefsen & Luisa Orlik & Martin Müller & Aristomenis K. Exadaktylos & Stefan M. Scholz & Jolanta Klukowska-Rötzler & Mairi Ziaka, 2022. "Work-Related Injuries among Insured Construction Workers Presenting to a Swiss Adult Emergency Department: A Retrospective Study (2016–2020)," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
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Keywords
sustainable construction management; third-party loss; loss assessment; loss indicators; ANOVA; multiple regression analysis;All these keywords.
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