Developing a Construction Duration Estimation Model to Ensure the Safety in Apartment Housing Construction Sites

التفاصيل البيبلوغرافية
العنوان: Developing a Construction Duration Estimation Model to Ensure the Safety in Apartment Housing Construction Sites
المؤلفون: Jin Ho Lim, Young-Ki Huh, Do-Kyun Seol, Daeyoung Kim, Seong-Chun Jeong
المصدر: KSCE Journal of Civil Engineering. 22:2195-2205
بيانات النشر: Springer Science and Business Media LLC, 2017.
سنة النشر: 2017
مصطلحات موضوعية: Estimation, Engineering, Apartment, business.industry, Process (engineering), 0211 other engineering and technologies, 020101 civil engineering, Regression analysis, 02 engineering and technology, 0201 civil engineering, Construction site safety, Transport engineering, Acceleration, Risk analysis (engineering), Order (exchange), 021105 building & construction, Duration (project management), business, Civil and Structural Engineering
الوصف: Construction process acceleration due to the unreasonable construction duration frequently leads to construction accidents. In order to ensure the safety in construction sites and to avoid inevitable construction process acceleration, there is a need for objective standards to determine the appropriate construction duration for each construction process earlier in the process. To achieve the goal, a construction duration estimation model was developed by exploring those factors that affect the construction duration. Various statistical techniques, including multiple regression analysis and analysis of variance (ANOVA) were also conducted in order to predict proper construction duration for apartment housing projects. The results of the study will make it possible to avoid inevitable construction acceleration, and thus minimize the potential of construction disasters/accident.
تدمد: 1976-3808
1226-7988
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::60675354a54994e3fc09ae9406b1ff1e
https://doi.org/10.1007/s12205-017-0605-y
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........60675354a54994e3fc09ae9406b1ff1e
قاعدة البيانات: OpenAIRE