• International conference on construction engineering and project management
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• 2015.10a
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• pp.627-628
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• 2015

Construction defect which can causes economic damage such as schedule delay, cost overrun is a considerably important factor in construction industry. In general, a construction defect features a difficulty to find out causes precisely because it occurs when several interrelated causes combine. Yet, studies have tried to understand the interrelationships between factors are limited. In addition, despite of a tremendous amount of construction data, it's not still enough to analyze them, but tends to depend on experience or know-how of practitioners. Thus, it is necessary to identify underlying causes in influential factors by utilizing related data. This paper analyses Interrelationships between causal factors using Association Rule Mining to discover root causes of construction defects. Confidence and Lift that can be used for presenting the interrelationships of the causes were extracted from 1241 cases in 30 projects in Korea. It is expected that this paper allows the construction managers to discover key factors and make right decisions to reduce occurrence of construction defects. Furthermore, analysis of interrelationships can improve understanding of structural patterns of construction defects.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.58-65
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• 2011

Construction Productivity is one of the most important elements in construction management. It is used in construction process scheduling and cost management, which are significant sector in construction management. It is important to make appropriate schedule and monitor how works are done within schedule. But construction project contains uncertainty and inexactitude, modifying construction schedule is being an issue to manage construction works well. Even though prediction and monitoring of productivity can be principal activity, it is hard to predict productivity with manager's experience and a standard of estimate. A large number of factors influencing productivity, such as drawing, construction method, weather, labor, material, equipment, etc. But current calculation of productivity depends on empirical probability, not consider difference of each influencing factor. In this research, the aim is to present a productivity predicting regression model of form work, which includes effectiveness of influences factors. 5 variables existed inside form work are selected by interview and site research based on literature review of existed various productivity influencing factors. The effectiveness and correlation of productivity influencing factors are analyzed by statistical approach, and it is used to make productivity regression model. The finding of this research will improves monitoring and controlling of project schedule in construction phase.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.04a
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• pp.127-128
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• 2022

The construction industry has a higher disaster rate than other industries, so safety education and management are highly important. In order to reduce the construction accident rate, it is necessary to study the key safety management factors reflecting the characteristics of the construction industry, where there are differences in processes and manpower input for each process, and a small number of managers. Therefore, in this study, key safety management factors for each Process of construction were derived through cross-analysis between safety accident types and accident occurrence objects through disaster case data. The extracted key safety management factors are expected to provide useful information for safety education and supervision of construction sites.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.40-41
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• 2021

Recently, particulate matter(PM) caused by internal factors such as industrialization and urbanization as well as external factors such as Asian dust is a serious problem in Korea. In particular, while the emission due to construction appears to be very serious among the internal factors, it is necessary to manage PM in consideration of the characteristics of construction sites. Accordingly, in this study, a PM management system suitable for construction sites was developed to reduce civil complaints caused by PM and to minimize damage to field workers and nearby residents by supporting the fine dust management system of the state and local governments. The factors to be considered when measuring PM due to the specificity of construction sites were considered, and the system components were developed based on the considerations. As a result, an IoT based construction site PM monitoring system (CPMS) that integrates each component was established.

• Journal of Construction Engineering and Project Management
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• v.7 no.4
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• pp.1-12
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• 2017

India has accorded a high priority to road infrastructure development through Public-Private Partnership (PPP) and it has set a high target for investment inflows. Yet, it is widely held that road/highway infrastructure has not been developing at required pace and that the road infrastructure projects under PPP have been suffering from several hurdles and delays, thereby affecting project success/failure. This paper is an attempt to analyze the critical success/failure factors of road infrastructure projects under PPP in India. A questionnaire survey was conducted among a sample of the stakeholders of road infrastructure projects to identify the critical success/failure factors during all four major project stages using different approaches. Initially, the critical factors were identified through ranking based on the average/mean score. Later, the conventional RII score was used to identify the critical success/failure factors. Finally, the critical success/failure factors were also identified based on the stakeholder-wise ranking of the factors and their convergence. The assessment revealed that there was a greater convergence across the different methods and also that there was greater consensus among project stakeholder on the critical success/failure factors of road PPP projects.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.05b
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• pp.209-212
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• 2009

During the last few decades, several companies and research laboratories have developed construction robots in an effort to improve productivity, quality, and reduce construction time and safety concerns. Recently, domestic construction industry is also interested in developing the construction robots. However, the studies on the research and development process is impossible in real field. A existing research's object is the development of the research on the assumption that construction's environment is a fixed form, But real construction's environment is very dynamic and atypical. So it is very difficult that we apply construction automation and robots. In order to solve this problem, this study deduce influential factors on decision making of frame construction scheduling for automated construction.

• Architectural research
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• v.16 no.2
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• pp.75-80
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• 2014

Risks, uncertainties, and associated cost overruns are critical problems for construction projects. Cost contingency is an important funding source for these unforeseen events and is included in the base estimate to help perform financially successful projects. In order to predict more accurate contingency, many empirical models using regression analysis and artificial neural network method have been proposed and showed its viability to minimize prediction errors. However, categorical factors on contingency cannot have been treated and thus considered in these empirical models since those models are able to treat only numerical factors. This paper identified potential factors on contingency in transportation construction projects and evaluated categorical factors using the one-way ANOVA statistical method. Among factors including project work type, delivery method type, contract agreement type, bid award type, letting type, and geographical location, two factors of project work type and contract agreement type were found to be statistically important on allocating cost contingency.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.65-69
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• 2015

The aim of this paper is to identify and rank the main causes of fall accidents from scaffolding according to their relative importance as perceived by project managers and site engineers in construction projects in the Gaza Strip. A total of 50 questionnaires were distributed to project managers and site engineers, 35 questionnaires were received yielding 70% response rate. A total of 33 factors that cause fall accidents in scaffolding were identified through a literature review and consolidated by a pilot study. These factors were categorized into six groups: factors related to erection, factors related to the staff (Scaffolders), factors related to loads, factors related to the personal safety, factors related to the workers behavior, factors related to the personal competencies. The results indicated that factors related to the workers behavior are the major factors that caused fall accidents from scaffolds. The results revealed that the top ranked factors which caused falls accidents from scaffolding were: absence of personal protective equipment (PPE), missing ladders, wind loads, disguised the design code, lack of proper assembly or inspection, overhead tools and materials, climbing and neglect using ladders, lack of guardrails, missing bracing and working during fatigue. These findings would help contractors to understand the top factors that caused fall accidents so that they can take them into consideration in safety planning in order to minimize the possibility of their occurrences.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.14-20
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• 2013

Substantial research has been performed on the data standards and exchanges in the AEC/FM industry over the past several years. The growing popularity of BIM technology is based heavily upon a perception that the technology can facilitate the sharing and reuse of information during a project life-cycle. Although many researchers and practitioners are in agreement about the potential applicability and benefit of BIM in construction, it is still unclear why BIM is adopted, and what factors enhance implementation of BIM. Thus, BIM acceptance and use remains a central concern of BIM research and practice. Therefore, we propose the key factors affecting the acceptance of BIM in construction organizations using factor analysis. The key factors for BIM acceptance are identified through a literature review in TAM (Davis 1989) and related theories, and consolidated by interviews and pilot studies with professionals in construction industry. Based on the factors, a questionnaire was designed and sent out to construction organizations such as contractors, architects, and engineers in Korea. Total 148 completed questionnaires were retrieved. Using factor analysis, key factors were grouped into six dimensions. These findings will clarify what the highly prioritized factors are, and can also be used in an assessment tool for the performance of BIM utilization.

• Journal of Construction Engineering and Project Management
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• v.1 no.1
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• pp.25-30
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• 2011

With a focus on different aspects of PMIS in construction projects, various sets of critical success factors (CSFs) have been suggested in the literature such as IS Success Model by various researchers. It is crucial to explore the relative importance and groupings of these factors. This paper aims to identify CSFs associated with Project Management Information System (PMIS) in construction projects, and explore their ranking and underlying relationship. CSFs for PMIS identified through a literature review, and consolidated by interviews and pilot studies with professionals in construction industry. A questionnaire instrument was sent out to experienced users (Construction Manager and Constructor) in Korea, and 253 completed questionnaires were retrieved. To increase the generalizability of the results, the respondents were spread across construction site. Using factor analysis and considering the high importance of the factor, CSFs were grouped into three dimensions. All these three groupings and their relationship were included in a framework for successful PMIS in construction projects. These findings help to clarify what the high prioritized factors are, and could also be used as an assessment tool to evaluate the performance of PMIS and thus help to identify areas for improvement.