Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Junseo Bae"'
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32215- (2024)
Despite ongoing safety efforts, construction sites experience a concerningly high accident rate. Notwithstanding that policies and research to reduce the risk of accidents in the construction industry have been active for a long time, the accident ra
Externí odkaz:
https://doaj.org/article/ecd1d54109ed415fa91ea8c6a9d31864
Publikováno v:
Heliyon, Vol 10, Iss 1, Pp e23324- (2024)
Climate crises such as extreme weather events, natural disasters and climate change caused by climate transformations are causing much damage worldwide enough to be called a climate catastrophe. The private sector and the government across industries
Externí odkaz:
https://doaj.org/article/d9996af65daa43aba250cf405d659644
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
The goal of this study is to suggest an approach to predict building loss due to typhoons using a deep learning algorithm. Due to the influence of climate change, the frequency and severity of typhoons gradually increase and cause exponential destruc
Externí odkaz:
https://doaj.org/article/90a49f2a7e8c418692f96c7361c7e22a
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract This study aims to generate a deep learning algorithm-based model for quantitative prediction of financial losses due to accidents occurring at apartment construction sites. Recently, the construction of apartment buildings is rapidly increa
Externí odkaz:
https://doaj.org/article/d9fa4c971b1d4e4a83d816d1245d5119
Publikováno v:
Journal of Asian Architecture and Building Engineering, Vol 18, Iss 6, Pp 507-516 (2019)
There are many risks and uncertainties in plant construction projects, because of their complexity, difficulty in loss prediction and size of construction being large. The risk management of plant construction projects should not be relied solely on
Externí odkaz:
https://doaj.org/article/1415d59cc5364e34b5278507578df003
Publikováno v:
Journal of Asian Architecture and Building Engineering, Vol 18, Iss 5, Pp 472-478 (2019)
The purpose of this study is to suggest a quantitative risk assessment approach for construction sites using risk indicators to predict economic damages. The frequency of damage in building construction has recently increased, and the associated cost
Externí odkaz:
https://doaj.org/article/74bc91f45f344dfda7b33d6958268f2f
Publikováno v:
Buildings, Vol 11, Iss 4, p 165 (2021)
Educational facilities hold a higher degree of uncertainty in predicting maintenance and repair costs than other types of facilities. Moreover, achieving accurate and reliable maintenance and repair costs is essential, yet very little is known about
Externí odkaz:
https://doaj.org/article/0f452aac5de34386972f26179e830820
Autor:
Junseo Bae
Publikováno v:
Transportation Planning and Technology. 44:901-916
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4022a5111b50295cdd5f158609b193c6
https://doi.org/10.1080/03081060.2021.1992181
https://doi.org/10.1080/03081060.2021.1992181
Given trends in more frequent and severe natural disaster events, developing effective risk mitigation strategies is crucial to reduce negative economic impacts, due to the limited budget for rehabilitation. To address this need, this study aims to d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64bab59f78ba97866b618a4089803d74
https://nhess.copernicus.org/articles/22/2131/2022/
https://nhess.copernicus.org/articles/22/2131/2022/
Autor:
Junseo Bae, Kunhee Choi
Publikováno v:
Environment and Planning B: Urban Analytics and City Science. 48:2093-2109
Level-of-service has been widely used to measure the operational efficiency of existing highway systems categorically, based on certain ranges of traffic speeds. However, this existing method is generic for investigating urban traffic characteristics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfafd179e1bbd883fb470246f5dee9fd
https://doi.org/10.1177/2399808320954209
https://doi.org/10.1177/2399808320954209