• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.04a
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• pp.233-234
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• 2022

In order to minimize casualties in case of a fire in a building, it is necessary to anticipate the time required for evacuation of occupants and the delay in evacuation in advance, and prepare countermeasures for possible occurrences. In fact, various factors that cannot be predicted exist and cannot be considered by excluding them, so the risk is predicted and evaluated through quantitative evacuation modeling. In order to understand this, we analyzed domestic and international evacuation modeling research trends. For about 40 years, starting with the characteristics of human movement, an evacuation modeling technique based on scientific methods has been developed through actual fire accident cases and various real-world experiments with humans. Then, in order to analyze the natural reaction of humans, which has a decisive influence in the recognition and decision-making phase, evacuation modelling studies have been conducted in depth using psychological and physical experimental methods.

• Korean Journal of Construction Engineering and Management
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• v.13 no.6
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• pp.94-106
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• 2012

In recent years, the risks and uncertainties associated with mixed used development in urban regeneration projects which have actively been implemented at home and abroad have been on the rise due to the uncertainties of the initial business plan, difficulty of financing, increase in total cost and schedule delay. To cope with rapid social and economic changes and optimize benefits, a risk-based configuration management process that considers life cycle is required, along with accurate planning in the early stage of the business. In addition, it is necessary to prepare measures that can respond to the evaluation and measurement of the configuration factors in relation to the business process. However, the focus of previous studies on configuration management in the field of construction was mainly on humanities and the sociological aspects such as organization, leadership, ideology and similar concepts. There has been limited research on the process and measurement and evaluation methods for configuration factors required in decision-making on the risks and changes that can occur in the actual project implementation phase. Accordingly, in this study, we defined risk-based configuration factors and developed a process and MECA/3DAM/CII methodology to measure and evaluate these factors so as to carry out systematic configuration management of mixed used development in urban regeneration projects.

• Korean Journal of Construction Engineering and Management
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• v.7 no.5
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• pp.85-93
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• 2006

This study is started from a situation of korean construction which has been undergoing diversity. And risk of construction project has been increased recently. The purpose of this study is to propose the model which is able to estimate the proper manpower by eliciting the variable which is offered in the pre-design and construction phase. The existing method of estimate has a problem with calculating exact costs. For this model, it was analyzed the existing manpower estimating model and used historical data of 38 apartment houses, constructed from 2000 to now. Based on these, the regression model of the construction manpower was built. And then the regression model was verified. The result of verification was relatively adequate in the statistics exept for some cases. This regression model will help make it possible for constructor to estimate the deduction of retirement more accurate than existing method.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.238-244
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• 2022

Civil projects are associated with many uncertainties because they involve a long duration, many resources, a large area, and many supply chains. Therefore, the price of a civil project is not simply proportional to the quantity and unit price of the item but has a variable value, including uncertainty risk. This study investigates the influence of the uncertainty factors in the pre-bid clarification document on bid price formation during the project bidding phase. To this end, civil projects from the California Department of Transportation (Caltrans) were used as research data. This study randomly selected fifty sample data from each of twelve counties from 2008-to 2020: six hundred. The authors observed that each project sample had 0 to n query cases due to uncertainty. Then, this study examined the project uncertainty cases and categorized them into the following four uncertainty factors: 'conflict' (UF1), 'impossibility' (UF2), 'lack' (UF3), and 'missing' (UF4). Under the extracting process, the cases are classified into four uncertainty factors. With the project not containing any uncertainty factors as a control group, the project containing these uncertainty factors was designated as an experimental group. After comparing the bidder's price, the experimental group's bid price was higher than the control group's. This result suggests that uncertainty factors in bid documents induce bidders to set a high bid price as a defense against uncertainty.

• Journal of Construction Engineering and Project Management
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• v.1 no.3
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• pp.45-51
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• 2011

During disaster response, prioritization of limited resources is one of the most important but challenging tasks. At the same time, it is imperative to timely provide to the rescuers with the adequate heavy equipment to facilitate lifesaving operations. However, supply of high demand equipment is usually insufficient during the initial phase of disaster response, challenging lifesaving operations. At the same time, resources outside of the disaster affected zone converge into the area to assist the response efforts, which is the effect of convergence that often made resource coordination challenging in large scale disasters. Meanwhile, the initial condition of the disaster is usually best known by civilians already at the area before and during impact of the disaster. The knowledge of the civilians is not always received and considered by the responding organizations. With the help of these civilians, critical information such as victim location, infrastructure damage, and risk condition could be better know before any response actions are taken. To efficiently collect information and utilize the converging resources, this paper proposes a geospatial information repository for initial condition reporting and update to guide search and rescue operations and deployment of equipment with safety considerations for the rescuers in large scale disaster response scenarios.

• Journal of the Korean Society of Safety
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• v.34 no.6
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• pp.38-49
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• 2019

While the overall industrial accident rate has been decreased, but those of the construction industry has not been. For safety management during the planning/design phase, which accounts for 45% of the cause of accident at the construction site, Design For Safety (DFS) was established to minimize a hazard and risk in 2016. Currently, DFS system has difficulty settling down in Korea due to the several reasons. So, this paper aims to propose to the Key Success Factor (KSF) and related action plan to improve DFS system. This study was conducted by following 2 steps: i) identification of problems on current DFS, and ii) proposal of KSF and following action plan for DFS. The DFS in Korea was compared with UK, Singapore, Australia, and US on 7 criteria (application target, execution period, change of design, collaboration among participants, expert participants, alternative review and decision support system). DFS was compared with other countries's system based on the identical criteria and the corresponding improvement measures were also proposed. The results of this study can be utilized to improve DFS system in various aspects.

• Journal of the Korean Institute of Educational Facilities
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• v.25 no.6
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• pp.35-44
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• 2018

The purpose of this study is to predict more accurate construction costs and to support efficient decision making in the planning and design stages of smart education facilities. The higher the error in the projected cost, the more risk a project manager takes. If the manager can predict a more accurate construction cost in the early stages of a project, he/she can secure a decision period and support a more rational decision. During the planning and design stages, there is a limited amount of variables that can be selected for the estimating model. Moreover, since the number of completed smart schools is limited, there is little data. In this study, various artificial intelligence models were used to accurately predict the construction cost in the planning and design phase with limited variables and lack of performance data. A theoretical study on an artificial neural network and deep learning was carried out. As the artificial neural network has frequent problems of overfitting, it is found that there is a problem in practical application. In order to overcome the problem, this study suggests that the improved models of Deep Neural Network and Deep Belief Network are more effective in making accurate predictions. Deep Neural Network (DNN) and Deep Belief Network (DBN) models were constructed for the prediction of construction cost. Average Error Rate and Root Mean Square Error (RMSE) were calculated to compare the error and accuracy of those models. This study proposes a cost prediction model that can be used practically in the planning and design stages.

• Journal of the Korean Geosynthetics Society
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• v.22 no.3
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• pp.27-35
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• 2023

Ensuring the stability of visible structures during excavation works are extremely crucial. While the stability of the ground is analyzed through numerical calculations the during design phase, the conditions during construction often differ. Therefore, it is imperative to analyze the stability of the wall through measurements. The cost of measurements on the construction site is set at a very low unit price, which increases the risk of accidents involving retaining walls. In this study, we argue for the importance of automated or wireless system measurements of retaining walls, by estimating construction duration and accident costs through the analysis of hypothetical accident cases, and comparing these with measurement costs. In case of a major destruction during excavation work, the accident handling cost could be less than 5% of the total measurement budget. Therefore, increasing the measurement budget to prevent accidents in advance can be economically beneficial.

• Korean Journal of Construction Engineering and Management
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• v.15 no.3
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• pp.23-30
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• 2014

Overseas construction orders of domestic companies had been increased significantly in a short period from $10.9 billion in 2005 to $64.9 billion in 2012. However experts are concerned that quality of growth will not support quantitative growth. This study suggest concentrate competencies for not only winning in bid but also successful execution of domestic companies. 4 Steps which are Pre-Marketing, Bid-Preparation, Bidding, Contract Phase are defined for competency assessment. After drawing specific tasks by phase, survey asking importance and capability of the tasks to the person in charge of bidding and site was conducted by utilizing Likert 7 point scale. According to the result of IPA analysis, domestic construction companies need to ensure internal competencies; Project risk review, Bid team organization, and external competencies; Client needs grasp, Localization strategy, Cooperation establishment. Hearafter domestic construction companies will be able to utilize the result of the study for setting bidding strategy for winning in bid and improving earning rate.

• Journal of Korea Water Resources Association
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• v.36 no.5
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• pp.715-724
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• 2003

It is true that SOC facilities, such as dams, need long life cycles since more time has to be invested for the phases of planning, examination, feasibility study, design, contract, construction, and maintenance. This longer life cycle is easily exposed to the risk. And thus, brings additional cost by the delayed project, convenient loss according to the additional run of use, and benefit lose of not to using the facilities. So, the purpose of this study is to try to find a solution to reduce these time consuming problems which could diminish the whole national competition. Hence, this study is to show efficient, systematical project performance and network model by using reciprocal analyses between the construction period and cost based on economical analysis of each phase of life cycles. In addition, on the basis of these outputs, the Fast Track Method is suggested as an alternative solution as a new Approach in Life Cycle's Analysis.