• International conference on construction engineering and project management
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• 2009.05a
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• pp.1231-1236
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• 2009

Many work-related risk factors can cause construction site hazards. Therefore, safety management begins with measuring the magnitude of risk involved in a project. This study proposes a methodology for risk assessment of major trades at a particular construction site. To assess risk, this methodology integrates hazard severity and frequency, and their magnitude is calculated based on actual work-site hazards. This methodology also considers the influence factors that affect the frequency of work-related hazards. To select the appropriate influence factors, a two step approach is deployed. First, the predominant factors are identified through a literature review. Second, a selective process filters out the influence factors that are difficult to analyze quantitatively, and these extracted factors are weighted using expert surveys. Finally, the factors are combined and a quantitative risk assessment methodology is proposed.

• The KIPS Transactions:PartD
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• v.16D no.1
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• pp.105-112
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• 2009

Risk management is increasingly seen as one of the main jobs of project managers. It involves anticipating risks that might affect the project schedule or the quality of the software being developed and taking action to avoid these risks. The results of the risk analysis should be documented in the project plan along with an analysis of the consequences of a risk occurring. Effective risk management makes it easier to cope with problems and to ensure that these do not lead to unacceptable budget or schedule slippage. This research provides criteria of analysis of risk items to the estimation of process milestone on software development. Also, In this paper propose to a fixed quantity and transition phase.

• Plant Journal
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• v.7 no.3
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• pp.48-64
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• 2011

In this work, risks in EPC project for overseas power plant projects are analyzed and risk management methods are suggested to reduce cost and to shorten time. 79% of risks occurred in the engineering phase for S project located in South-East Asia. The impact scales of risks on major project objectives which are cost, time, scope, and quality are analyzed as 3.5, 3.8, 2.7, and 3.7, respectively. The level of impact scales is very similar to each other except the impact scale of scope. The risk management methods suggested in this study have to be applied at the appropriate time to manage risks effectively. After that, risks are managed continuously by monitoring.

• Journal of Technology Innovation
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• v.6 no.2
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• pp.178-207
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• 1998

This article suggests a methodology to decide the priority of investment project for venture business under the dynamic circumstance. By the Monte Carlo procedure on the probability distribution of cost and revenue, the model simulates the investment project to estimate profit ratio and risk. The profit ratio is calculated on the yearly basis for the relative comparison. The project risk is calculated as semi-variance under the target yield. After sufficient simulations in this fashion for several projects, the efficient projects with more profit and less risk are selected by the dominance principle. Then the regression equation of the selected projects is produced to find the relative value of the projects. The relative value is obtained through dividing the raw profit ratio by the estimated one on the equation. This value shows the degree to which the simulated project yields over the equation. The priority of investment is decided by this value. An examplary venture business of chemical development for semi-conductor is presented as a case study.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.04a
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• pp.208-209
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• 2022

This study aims to analyze the risk factors caused by object damage and third-party damage loss in actual bridge construction based on past insurance premium payment data from major domestic insurers for bridge construction projects, and develop a quantitative loss prediction model. For the development of quantitative bridge construction loss model, the dependent variable was selected as the loss ratio, and the independent variable adopted 1) Technical factors: superstructure type, foundation type, construction method, and bridge length 2) Natural hazards: flood anf Typhoon, 3) Project information: total construction duration, total cost and ranking. Among the selected independent variables, superstructure type, construction method, and project period were shown to affect the ratio of bridge construction losses, while superstructure, foundation, flood and ranking were shown to affect the ratio of the third-party losses.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.49-50
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• 2015

Since the mid-2000s, Korean large-sized construction companies have pursued in earnest to expand their business to global construction market in surroundings that domestic market have a continuous and long-term stagnation. However, during last a few years, they have experienced the serious financial loss from international projects. In the meantime, for the sound improvement of Korean construction industry, many stakeholders long for efficient early warning signals to generally monitor and track the potential risks of international projects. In this study, we introduce an International Project Risk Index (IPRI), which is derived from massive data provided by large-sized companies, and expect to provide the practitioners and decision makers as an aid to proactively cope with the change of the potential risks. The outcomes from the IPRI can be utilized to prepare a timely management strategy and to establish an appropriate government support regulation.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.162-167
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• 2011

Construction projects are full of risks. This is particularly the case in civil construction projects that are often featured with large scale, complexity and involving a large number of participating parties. The eventuation of risks typically results in extended project durations leading to an increase in the total project budget. The consequence can be amplified considering the significant impacts of civil construction projects on the society, from economical, environmental and social perspectives. This research investigates the significance of risks within civil construction projects and approaches to deal with risks. Semi-structured interviews were undertaken with local industry practitioners in South Australia on this matter. It is found that the industry is fairly aware of risks associated with civil construction projects and subsequently has procedures in place to attempt to minimize the impacts of these risks on the project outcomes. The interview results also indicate that there is limited utilization of software for the risk management purpose from the cost estimation perspective.

• KDI Journal of Economic Policy
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• v.35 no.4
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• pp.31-61
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• 2013

The purpose of this study is to calculate the economic value of transport demand forecasting risks in the road PPP project. Under the assumption that volatility of the road PPP project value occurs only in regard with uncertainty of traffic volume forecasting, this study calculates the economic value of the traffic forecasting risks in the case of the road PPP project. To that end, forecasted traffic volume is assumed to be a stochastic variable and to follow the Geometric Brownian motion as time passes. In particular, this study attempts to differentiate itself from existing studies that simply use an arbitrary assumption by presenting the application of different traffic volume growth volatility and the rates before and after the ramp-up period. Analysis of the case projects reveals that the risk premium related to traffic volume forecast of the project turns out as 7.39~8.30%, without considering option value-such as minimum revenue guarantee-while the project value volatility caused by transport demand forecasting risks is 17.11%. As the discount rate grows higher, the project value volatility tends to decrease and volatility in project value is always suggested to be larger than that in transport volume influenced by leverage effect due to fixed expenditure. The market value of transport demand forecasting risk-calculated using the project value volatility and risk premium-is analyzed to be between 0.42~0.50, implying that a 1% increase or decrease in the transport amount volatility would lead to a 0.42~0.50% increase or decrease in risk premium of the project.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.245-252
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• 2022

Risk identification for bridge projects is a knowledge-based and labor-intensive task involving several procedures and stakeholders. Presently, risk information of bridge projects is unstructured and stored in different sources and formats, hindering knowledge sharing, reuse, and automation of the risk identification process. Consequently, there is a need to develop structured and formalized risk information for bridge projects to aid effective risk identification and automation of the risk management processes to ensure project success. This study proposes a semantic risk breakdown structure (SRBS) to support risk identification for bridge projects. SRBS is a searchable hierarchical risk breakdown structure (RBS) developed with python programming language based on a semantic modeling approach. The proposed SRBS for risk identification of bridge projects consists of a 4-level tree structure with 11 categories of risks and 116 potential risks associated with bridge projects. The contributions of this paper are threefold. Firstly, this study fills the gap in knowledge by presenting a formalized risk breakdown structure that could enhance the risk identification of bridge projects. Secondly, the proposed SRBS can assist in the creation of a risk database to support the automation of the risk identification process for bridge projects to reduce manual efforts. Lastly, the proposed SRBS can be used as a risk ontology that could aid the development of an artificial intelligence-based integrated risk management system for construction projects.

• Korean Journal of Construction Engineering and Management
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• v.10 no.1
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• pp.69-77
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• 2009

Recently, a research of the urban regeneration has been performed very actively. This is one of the efforts to resolve various social and economic problems coming from the existing deteriorated building and facilities by new urban development or redevelopment. However, an urban regeneration has a characteristic to be unable to ensure the project performance due to the exposed numerous risks coming from the various and complex stake-holders, and its mega sizes. This paper proposes the method of risk performance index in order to improve an efficiency of performance measurement expanding to the risk view point from the existing integrated cost/schedule performance measurement. A risk performance index is compatible with the existing EVMS, and can make the performance measurement in 3 dimensions of the integrated cost/schedule/risk with 18 sub-indexes and variables.