• Proceedings of the KSR Conference
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• 2005.11a
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• pp.1121-1129
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• 2005

The purpose of this study. was to Identification the Risk of construction method to protect and reduce the risk of construction period. The inspection list usually has the difference of importance because this list is not made by Method which is not focused on Method. We tested Risk occurring frequency and it's strength by checking the level of Risk. To solve and compensate the matter which happened by changing the each Method Check List to each General Inspection List, we added the each Method Check List by checking the importance of check list of each process. By doing this, the Check List for finding Risk level of Method was created by using the check list of each Method.

• Journal of the Korea Institute of Building Construction
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• v.18 no.4
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• pp.385-394
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• 2018

There have been frequent reports of schedule delays due to various risks of remodeling projects, which are different from new construction. Therefore, this study was carried out to analyze the risk factors inherent in the remodeling project and the likelihood of schedule delay occurrence in the remodeling construction work. To analyze the relationship between the risk factors and the likelihood of schedule delays of remodeling projects, (1) a prototype of the office building remodeling work was developed through the analysis of existing case and literature, (2) a questionnaire survey was conducted on 29 construction managers who have been or are currently conducting remodeling projects, and (3) after evaluating the reliability of the collected questionnaire results, the relationship between the two elements, which denotes (i) likelihood of schedule delays per each work, (ii) importance of risk factors, and (iii) risk factors affecting schedule delay in remodeling work, was suggested. Using the results of this study, it is expected to develop a plan for preventing the schedule delay of the office building remodeling work through control the risk factors that may cause schedule delays.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.463-466
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• 2008

Owing to the characteristics of the construction industry, large number of risk factors exist in construction projects compared to other industries. In the year 2007, due to industrial disaster, there was a loss of about 70 million number of working days and about 3 trillion won of the economic direct loss Economic loss is estimated up to 16trillion won including the indirect loss. Hence, a countermeasure is required to reduce the loss. However, the existing safety management is inefficient because it is based on experiential safety knowledge in the form of safety index, regulations. The purpose of this research is to improve this problem by proposing a quantitative risk assessment methodology. First, the limitation of existing hazard index is analyzed and subsequently variables for assessing degree of risk is established. Finally, these variables are then combined and a quantitative risk assessment methodology is proposed.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.397-402
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• 2013

In super-tall building construction projects, schedule risk factors which vertically change and are not found in the low and middle-rise building construction influence duration of a project by vertical attribute; and it makes hard to estimate activity or overall duration of a construction project. However, the existing duration estimating methods, that are based on quantity and productivity assuming activities of the same work item have the same risk and duration regardless of operation space, are not able to consider the schedule risk factors which change by the altitude of operation space. Therefore, in order to advance accuracy of duration estimation of super-tall building projects, the degree of changes of these risk factors according to altitude should be analyzed and incorporated into a duration estimating method. This research proposes a simulation model using Monte Carlo method for estimating activity duration incorporating schedule risk factors by weather conditions in a super-tall building. The research process is as follows. Firstly, the schedule risk factors in super-tall building are identified through literature and expert reviews, and occurrence of non-working days at high altitude by weather condition is identified as one of the critical schedule risk factors. Secondly, a calculating method of the vertical distributions of the weather factors such as temperature and wind speed is analyzed through literature reviews. Then, a probability distribution of the weather factors is developed using the weather database of the past decade. Thirdly, a simulation model and algorithms for estimating non-working days and duration of each activity is developed using Monte-Carlo method. Finally, sensitivity analysis and a case study are carried out for the validation of the proposed model.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.05a
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• pp.187-188
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• 2017

Domestic industrial disasters are decreasing, but construction industrial disasters are increasing every year. So this study draw a conclusions from the major types of safety accidents based on disaster intensity analysis to solve the problems caused by increasing construction industry disasters. Also figure out a risk about original cause material to establish management directions which is significant manage things.

• Korean Journal of Construction Engineering and Management
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• v.16 no.2
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• pp.38-45
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• 2015

The risk analysis phase of construction risk management process is subdivided into the qualitative risk analysis that plays a major role, and the quantitative risk analysis acting as a supportive role. The traditional calculation method for quantifying a risk value that has been applied so far is an equation to multiply a probability by an impact simply, but its result shows the low risk value biased distribution. Although another equation that shows the high risk biased distribution as an alternative of traditional method was proposed, both of the low or high risk biased equations do not match with the statistical general knowledge that most natural phenomenons are close to the normal distribution. This study proposes a new risk value calculation method that is concentrated to the moderate risk value. Because the risk value distribution by a new method shows a normal shape similar to natural phenomenon, it helps to choose a middle level not biased to the low or high levels when choosing the level of risk response. Furthermore, it could contribute to improve the flexibility and rationality of risk analysis method by providing additional options for the risk value calculation.

• Journal of the Korea Institute of Building Construction
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• v.20 no.2
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• pp.137-145
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• 2020

The recent bridge construction projects demand thorough and systematic safety and risk management, due to the increase of risk factors following the introduction of new and complex construction methods and technologies. Among many types of damages that can occur in bridge construction projects, the damages to third parties who are not directly related to the existing property of the contractor construction project can also bring about critical loss in the project in order to compensate the damages. Therefore, risks that could be caused by the loss occurred to indemnify the third party damages should be clearly analyzed, although there are not subsequent amount of studies focusing on the issue. Based on the past record of insurance payment from domestic insurance companies for bridge construction projects, this study aimed to analyze the risk factors of bridge construction for loss caused to compensate the third-party damages happened in actual bridge construction projects and to develop a quantified and numerical predictive loss model. In order to develop the model, the loss ratio was selected as the dependent variable; and among many analyzed independent variables, the superstructure, foundation, flood, and ranking of contractors were the four significant risk factor variables that affect the loss ratio. The results produced can be used as an essential guidance for balanced risk assessment, supplementing the existing analysis on material losses in bridge construction projects by taking into account the third-party damage and losses.

• Journal of the Korea Institute of Building Construction
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• v.11 no.1
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• pp.45-50
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• 2011

Building construction projects have various risk factors, so accidents is easily occurred in construction field. Therefore, many studies have been carried out to find methods for reducing such accidents. However, most of these studies have been focused to engineering factors, such as working methods and safety guards and equipments. The purpose of this study is to select the key accident risk factors in building construction projects. For this study, we identified the accident risk factors, which include engineering, education, and enforcement factors, and quantitatively evaluated these factors using an analytic hierarchical process. Identifying the key accident risk factors will help to reduce accidents in building construction projects.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.304-311
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• 2022

Construction inspection is a crucial stage that ensures that all contractual requirements of a construction project are verified. The construction inspection capabilities among state highway agencies have been greatly affected due to budget reduction. As a result, efficient inspection practices such as risk-based inspection are required to optimize the use of limited resources without compromising inspection quality. Automated prioritization of textual requirements according to their criticality would be extremely helpful since contractual requirements are typically presented in an unstructured natural language in voluminous text documents. The current study introduces a novel model for predicting the risk level of requirements using machine learning (ML) algorithms. The ML algorithms tested in this study included naïve Bayes, support vector machines, logistic regression, and random forest. The training data includes sequences of requirement texts which were labeled with risk levels (such as very low, low, medium, high, very high) using the fuzzy logic systems. The fuzzy model treats the three risk factors (severity, probability, detectability) as fuzzy input variables, and implements the fuzzy inference rules to determine the labels of requirements. The performance of the model was examined on labeled dataset created by fuzzy inference rules and three different membership functions. The developed requirement risk prediction model yielded a precision, recall, and f-score of 78.18%, 77.75%, and 75.82%, respectively. The proposed model is expected to provide construction inspectors with a means for the automated prioritization of voluminous requirements by their importance, thus help to maximize the effectiveness of inspection activities under resource constraints.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.2
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• pp.211-218
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• 2021

Construction sites have various risk factors. There are various approaches to reduce safety accidents, but they have limitations to some extent. By utilizing the wireless communication technology of IT and the rapidly developing image processing technology, it will be possible to reduce accidents at the construction site if risk factors are identified and actively responded to. Therefore, in this study, a system that can detect risk factors of construction sites in advance is constructed, and a system is proposed to discover and respond to risk factors of construction sites using OpenCV for the purpose of real-time computer vision.