Korean Journal of Construction Engineering and Management

ISO Journal Title : Korean J. Constr. Eng. Manag.
Open Access Journal Bimonthly
  • ISSN (Print) : 2005-6095
  • ISSN (Online) : 2465-9703

The Analysis of the Importance of Influencing Factors in the Planning Stage of the Long-Term Public Rental Housing of Remodeling Project

Jung, Yong-Chan ; Jin, Zheng-Xun ; Hyun, Chang-Taek ; Lee, Sanghoon


The government announced the Housing Welfare Roadmap (November 2017), to expand the supply of public rental housing by reconstructing aged long-term public rental complexes. Also, remodeling projects for complexes with low business feasibility of reconstruction projects are recognized as an alternative to supplying public rental housing in urban area. This study analyzed influence factors by dividing them into project feasibility, architectural plan, urban & residential environment plan, and legal system groups in order to establish a plan for long-term public rental housing remodeling project. Futhermore, this work conducted the principal component analysis to get the principal component factors among the influence factors of each group, and the weight analysis to calculate weighting of them. In addition, major influence factors were derived by calculating the relative importance score (RIS) of each factor. Lastly this paper validated the major influence factors and applicability of the procedure to select 3 complexes that can be reviewed for remolding project among 33 long-term public rental housing complexes located in Seoul. The results of this study are expected to be useful when establishing a remodeling project plan for long-term public rental housing.

A Study on Productivity Analysis of Quality Management System in Construction Site

Choi, Yeongjun ; Oh, Hyunchul ; Baek, Kihyun ; Kim, Seok


Quality management work at construction sites demands substantial time and effort, involving the preparation of documents in Excel, approval processes, and the execution of quality tests. These Excel-based tasks include printing quality test reports, performing quality tests, generating and approving test reports, and preparing management ledgers. This division of processes extends the duration of work and diminishes efficiency. Accordingly, a cloud-based construction site quality management system was developed to enhance the productivity of quality management work. The purpose of this study is to analyze the productivity of the construction site quality management system, which is in the early stages of implementation at construction sites. This study implemented the construction site quality management system at a road construction site and scrutinized subsequent alterations in the quality management workflow before and after the implementation. Additionally, a survey was conducted among quality control engineers to collect data on work time both before and after the introduction of the construction site quality management system. Based on the collected data, the Monte-Carlo simulation method was applied to analyze the productivity improvement effect of the construction site quality management system, and the results were presented. The results of this study can serve as foundational data for future research endeavors focused on the automation of quality management works.

A Study on General Contractors’ Control Measures for Construction Cost Overrun

Park, Jee Young ; Kim, Hyeon Jin ; Kim, Han Soo


The effective control of cost overrun is a crucial issue for construction companies to secure profitability. Especially in situations where cost pressures are significant due to factors such as rising raw material prices and increased financial costs due to high-interest rate policies, cost overruns resulting from project failures have a highly detrimental impact on the profitability of construction firms. The objective of this study is to analyze the current status of cost overrun control measures adopted by construction companies using the IPA technique and provide key characteristics and implications. The IPA analysis results showed that practitioners in general contractors exhibit a high level of interest and effort regarding cost overrun while the performance level is relatively low. Nevertheless, the measures considered important to control cost overruns generally show a high tendency for execution as well. Cost overrun control measures that show high importance but low execution are primarily related to collaboration and communication sectors. To effectively control cost overruns, enhancing collaboration and communication with construction supervisors/CM, headquarters, and regulatory authorities emerged as the most urgent need. Through this study, the current status and areas for improvement regarding cost overrun control measures in general contractors can be identified. This can be valuable for deriving directions and enhancements for future cost overrun control strategy development.

Progress Measurement of Structural Frame Construction using Point Cloud Data

Kim, Ju-Yong ; Kim, Sanghee ; Kim, Gwang-Hee


Recently, 3D laser scanning technology, which can collect accurate and quick information on phenomena, has been attracting attention among smart construction technologies. 3D laser scanning technology can obtain information most similar to reality at construction sites. In this study, we would like to apply a new member identification method to an actual building and present the possibility of applying point cloud data, which can be collected using 3D laser scanning technology, to measuring progress at construction sites. In order to carry out the research, we collected location information for component identification from BIM, set a recognition margin for the collected location information, and proceeded to identify the components that make up the building from point cloud data. Research results We confirmed that the columns, beams, walls, and slabs that make up a building can be identified from point cloud data. The identification results can be used to confirm all the parts that have been completed in the actual building, and can be used in conjunction with the unit price of each part in the project BOQ for prefabricated calculations. In addition, the point cloud data obtained through research can be used as accurate data for quality control monitoring of construction sites and building maintenance management. The research results can contribute to improving the timeliness and accuracy of construction information used in future project applications.

Correlation Analysis Between Awareness of the Serious Accidents and Safety Consciousness of Construction Workers Under the Act on the Punishment of Serious Accidents

Seo, Youngjun ; Kim, Seulgi ; Lee, Dongyeop ; Jung, Junhwi ; Kim, Daeyoung


The purpose of this study was to analyze the Correlation Analysis between Awareness of the Serious Disaster and Safety Consciousness of Construction Workers under the Act on the Punishment of Serious. A survey was conducted on construction workers, construction managers, and safety managers. The results of this study were as follows; The correlation analysis conducted among the three groups indicated a significant correlation, with safety managers demonstrating the highest correlation, followed by construction managers and construction workers, and all three groups exhibited a moderate correlation. The correlation analysis conducted for the entire group also revealed a significant correlation, and as the number of participants increased, higher correlation coefficients were observed. Furthermore, to ascertain the significance of the correlation coefficients, a comparison was made between the p-value and the significance level (α). Consequently, a p-value smaller than the significance level of 0.05 was obtained, leading to the rejection of the null hypothesis and the acceptance of the alternative hypothesis. Therefore, it can be concluded that there is a relationship between the level of awareness of the serious Accidents Punishment Act and the level of Safety Consciousness of Construction. One limitation of this study is that it relied on a subjective indicator through a survey, which may introduce variability in the difficulty level of the questionnaire items.

Development of an Automatic Classification Model for Construction Site Photos with Semantic Analysis based on Korean Construction Specification

Park, Min-Geon ; Kim, Kyung-Hwan


In the era of the fourth industrial revolution, data plays a vital role in enhancing the productivity of industries. To advance digitalization in the construction industry, which suffers from a lack of available data, this study proposes a model that classifies construction site photos by work types. Unlike traditional image classification models that solely rely on visual data, the model in this study includes semantic analysis of construction work types. This is achieved by extracting the significance of relationships between objects and work types from the standard construction specification. These relationships are then used to enhance the classification process by correlating them with objects detected in photos. This model improves the interpretability and reliability of classification results, offering convenience to field operators in photo categorization tasks. Additionally, the model's practical utility has been validated through integration into a classification program. As a result, this study is expected to contribute to the digitalization of the construction industry.

Optimizing Laser Scanner Selection and Installation through 3D Simulation-Based Planning - Focusing on Displacement Measurements of Retaining Wall Structures in Small-scale Buildings -

Lee, Gil-yong ; Kim, Jun-Sang ; Yoou, Geon hee ; Kim, Young Suk


The planning stage of laser scanning is crucial for acquiring high-quality 3D source data. It involves assessing the target space's environment and formulating an effective measurement strategy. However, existing practices often overlook onsite conditions, with decisions on scanner deployment and scanning locations relying heavily on the operators' experience. This approach has resulted in frequent modifications to scanning locations and diminished 3D data quality. Previous research has explored the selection of optimal scanner locations and conducted preliminary reviews through simulation, but these methods have significant drawbacks. They fail to consider scanner inaccuracies, do not support the use of multiple scanners, rely on less accurate 2D drawings, and require specialized knowledge in 3D modeling and programming. This study introduces an optimization technique for laser scanning planning using 3D simulation to address these issues. By evaluating the accuracy of scan data from various laser scanners and their positioning for scanning a retaining wall structure in a small-scale building, this method aids in refining the laser scanning plan. It enhances the decision-making process for end-users by ensuring data quality and reducing the need for plan adjustments during the planning phase.