• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2023.05a
• /
• pp.383-384
• /
• 2023

Using the CSI(Construction Safety Management Integrated Information) data, a comparative analysis was conducted by work type and construction cost according to whether the construction sites were subject to making a safety management plan or not. As a result, by type of work, the ratio of deaths in non-plan sites was high in mechanical facilities and earthworks, and the operation performance of the system was much higher in sites that were less than 5 billion won of construction cost.

• Journal of the Korean Society of Safety
• /
• v.35 no.2
• /
• pp.47-54
• /
• 2020

The purpose of this study is to determine whether the variables of the agency factors affected the number of occupational fatalities in the construction industry in order to determine whether there is a relationship between the number of occupational fatalities occurring at the construction sites and the agency. The considered agencies are KOSHA (Korea Occupational Safety and Health Agency) and MOEL (Ministry of Employment and Labor). The variables of two agency factors are classified as follows: the variables of two agency factors are the number of employees, budget amounts, technical support and guidance for construction sites of KOSHA, and the number of labor inspectors, the number of inspection and oversight workplace, the number of criminally punished construction sites and fines levied on them in the industrial accident prevention departments of Regional Employment and Labor Office. The multiple regression analysis was conducted to determine the effect of two agency factors on the total number of occupational fatalities in the construction industry. The policy implications derived from this study are that, in order to reduce the fatalities of construction sites by KOSHA, the appropriate level of increased budget for KOSHA must be secured every year. In addition, the amount of fines levied on construction sites by the labor inspector in the industrial accident prevention departments of Regional Employment and Labor Office reduces the occupational fatalities at the construction sites.

• Journal of the Korean Institute of Rural Architecture
• /
• v.16 no.1
• /
• pp.95-102
• /
• 2014

The number of industrial accident victims in the construction industry accounts for 1/3 of those in the entire industries and about 30% of the total compensation costs are spent in the construction industry. As such, the construction industry is a typical industry causing numerous safety accidents. This study analyzes the status of industrial accidents in small scale construction sites to build maximum five-story buildings by examining statistical data for the past five years, investigating those construction sites and conducting interviews with the workers. This study also seeks the causes of and measures for industrial accidents in the small scale construction industry through comparison with relevant systems. The findings are as follows: (1) To reduce hazard rate, shaping the working environment and safety measures that take into account the physically weak classes of the middle aged and the aging are urgently required, because 62.9% of the industrial accidents in the construction industry occurred to those who are 50 years of age or older. (2) The hazard rate at small scale construction sites with less than 10 construction workers accounts for 55% of that of the entire industries. The government, in this context, needs to support finance or technology and improve system by selecting the small scale construction sites, where industrial accidents occur frequently. (3) Because the hazard rate of unskilled workers with less than 6 months of work experience accounts for 90.95% of the total, safety education needs to be concentrated on those unskilled workers. (4) The relevant standards need to be segmented and revised and bolstered, given that 64.79% of death disaster in the construction industry occurs in the temporary structures including scaffolds and ladders.

• International Journal of High-Rise Buildings
• /
• v.7 no.1
• /
• pp.33-46
• /
• 2018

The Case Study prepared by PCPA and Lift Group will identify a growing development problem in urban areas; high value project sites that are restrictive in size or "tight" are underutilized and underdeveloped. In an effort to remedy this problem, our team will evaluate a design program through the lens of both conventional construction and Core Cantilever Construction. It is also important to differentiate between Core Cantilever construction and the plagued "Lift Slab" construction method as they may be confused, due to the top down construction sequence. This article will demonstrate that constraints inherent to conventional construction techniques prohibit economically viable development of these project sites, while Core Cantilever construction methods increase the projects value by reducing construction timelines and increasing the useable floor area.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2020.11a
• /
• pp.55-56
• /
• 2020

The construction industry has the highest occupational fatality and injury rates related to accidents of any industry. Accordingly, safety managers closely monitor to prevent accidents in real-time by installing surveillance cameras at construction sites. However, due to human cognitive ability limitations, it is impossible to monitor many videos simultaneously, and the fatigue of the person monitoring surveillance cameras is also very high. Thus, to help safety managers monitor work and reduce the occupational accident rate, a study on object recognition in construction sites was conducted through surveillance cameras. In this study, we applied to the instance segmentation to identify the classification and location of objects and extract the size and shape of objects in construction sites. This research considers ways in which deep learning-based computer vision technology can be applied to safety management on a construction site.

• Journal of the Korean Society of Safety
• /
• v.17 no.2
• /
• pp.69-75
• /
• 2002

Current fire safety in the construction sites has developed piecemeal over a considerable period of time. However, the law and regulation of fire safety is insufficient to protect fro in the construction sites. The frequency of fire in the construction sites is very rare but it brings longterm deterioration durability of building structure and large scale industrial calamity. There are many process of works and each work deals with many kind of flammable material, so it is very difficult to find a proper safety fire prevention. This study executed the questionnaire and fire experiment of the welding work to provide effective fire prevention counterplan.

• Journal of the Korea Institute of Building Construction
• /
• v.21 no.5
• /
• pp.397-408
• /
• 2021

The construction industry has the highest occupational accidents/injuries and has experienced the most fatalities among entire industries. Korean government installed surveillance camera systems at construction sites to reduce occupational accident rates. Construction safety managers are monitoring potential hazards at the sites through surveillance system; however, the human capability of monitoring surveillance system with their own eyes has critical issues. A long-time monitoring surveillance system causes high physical fatigue and has limitations in grasping all accidents in real-time. Therefore, this study aims to build a deep learning-based safety monitoring system that can obtain information on the recognition, location, identification of workers and heavy equipment in the construction sites by applying multiple object tracking with instance segmentation. To evaluate the system's performance, we utilized the Microsoft common objects in context and the multiple object tracking challenge metrics. These results prove that it is optimal for efficiently automating monitoring surveillance system task at construction sites.

• Journal of the Korean Society of Safety
• /
• v.36 no.3
• /
• pp.31-39
• /
• 2021

In Korea, more than half of work-related fatalities have occurred on construction sites. To reduce such occupational accidents, safety inspection by government agencies is essential in construction sites that present a high risk of serious accidents. To address this issue, this study developed risk prediction models of serious accidents in construction sites using five machine learning methods: support vector machine, random forest, XGBoost, LightGBM, and AutoML. To this end, 15 proactive information (e.g., number of stories and period of construction) that are usually available prior to construction were considered and two over-sampling techniques (SMOTE and ADASYN) were used to address the problem of class-imbalanced data. The results showed that all machine learning methods achieved 0.876~0.941 in the F1-score with the adoption of over-sampling techniques. LightGBM with ADASYN yielded the best prediction performance in both the F1-score (0.941) and the area under the ROC curve (0.941). The prediction models revealed four major features: number of stories, period of construction, excavation depth, and height. The prediction models developed in this study can be useful both for government agencies in prioritizing construction sites for safety inspection and for construction companies in establishing pre-construction preventive measures.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2000.06a
• /
• pp.940-948
• /
• 2000

Noise and vibration generated at construction sites become serious issues because of bigger construction projects and growing use of heavy equipment. Especially in downtown construction, noise and vibration easily exceed the legal standards that can suffer the most of surrounding residents. The number of complaints by the residents who are exposed to the noise increases as their consciousness grows. However, the Korean regulations for the construction noise and vibration only present the overall limits for target areas and times zones, and this make it difficult to take effective measures. Also in rural area, disputes between construction sites and residents arise, but the dispute resolution or taking measures are difficult because clear standards concerning cause-and-effect, estimation of effective levels, calculation of damages, and future precautions and examples lack. This paper describes legal standards regarding the noise and vibration and presents judging standards for the physical damages. This paper also introduces example public complaints that happened at Daewoo construction sites to describe the problems in the existing law and further to enable smooth construction progresses by emphasizing the seriousness of public complaints.

• Journal of the Korea Institute of Building Construction
• /
• v.9 no.3
• /
• pp.59-64
• /
• 2009

This study is to analyse the causes of accident in small and medium-sized construction sites and to provide prevention strategies and system improvement guidance. Although occupational safety and health act regulates the standards and installations of temporary structures, about an half of construction accidents were caused by poor temporary structures such as guardrails, scaffolds, work platforms, etc. It investigated 51 construction sites which is located in metropolitan area by asking a series of questions including their knowledge about regulations and opinions about prevention strategies. The result shows that many of the respondents do not have sufficient understandings about the regulations, and it implies that education and training must be reinforced in order to enhance the safety-awareness and to develop the comprehension of regulations.