Risk Assessment Methodology for Underground Construction Projects

Choi, Hyun Rim; Cho, Hyo-Nam; Seo, Jongwon

doi:10.1061/(asce)0733-9364(2004)130:2(258)

Cited by 153 publications

(81 citation statements)

References 11 publications

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“…There are various techniques that can be used to assess both systematic and non-systematic risks in the real estate sector, for example the Project Risk Ranking and the Construction Risk Management System ( Al- Bahar and Crandall, 1990 ;Baccarini and Archer, 2001 ;Choi et al , 2004 ). These techniques have, however, been developed based on certain parameters.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, a technique that might be applicable in one country and have the desired impact may not be applicable in another country owing to differences in the business environments. These techniques are also subjective in nature, as they are not based on quantitative statistical measures ( Choi et al , 2004 ). There is therefore a need for risk assessment techniques that are based on a rigorous and quantitative statistical framework.…”

Section: Introductionmentioning

confidence: 99%

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An examination of Thai practitioners’ perceptions of risk assessment techniques in real estate development projects

Khumpaisal

Ross²,

Abdulai³

2010

J Retail Leisure Property

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An examination of Thai practitioners’ perceptions of risk assessment techniques in real estate development projects

Khumpaisal

Ross²,

Abdulai³

2010

J Retail Leisure Property

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“…The aggregated fuzzy weights r w k "`w L k , w M k , w R k˘o f criteria C k can be calculated by r w k " p1{rq b´r w k1 '¨¨¨' r w kj '¨¨¨' r w kr¯ ( 14) where…”

Section: Risk Evaluation Framework Based On Meem Under Fuzzy Environmentmentioning

confidence: 99%

Risk Evaluation of Qinghai–Tibet Power Grid Interconnection Project for Sustainability

Liu

2016

Sustainability

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Tel./Fax: +86-1061773129 † These authors contributed equally to this work. Abstract:The Qinghai-Tibet power grid interconnection project is the first power transmission project with the highest altitude, longest transmission lines, longest distance running across the plateau frozen ground, and highest iron tower in the world. The risk evaluation on it can identify the overall risk level and key risk factors, which can reduce risk-induced loss and promote sustainable construction. In this paper, the risk of the Qinghai-Tibet power grid interconnection project was evaluated by employing a matter-element extension model under a fuzzy environment. After building the risk evaluation index system, the performances and weights of criteria were qualitatively judged by three groups of experts in different fields, and then the risk of the Qinghai-Tibet power grid interconnection project was rated by employing matter-element extension model. Meanwhile, the sensitivity analysis was performed to identify key risk criteria. The empirical results indicate the risk of the Qinghai-Tibet power grid interconnection project belongs to the "stronger" grade, tending to the "strongest" grade. "Social stability risk", "altitude sickness seizure risk", "permafrost-induced risk", "severe weather-induced risk", and "ecological destruction risk" are key sub-criteria, which should be paid more attention to when taking risk management measures. Finally, some countermeasures for key risks of the Qinghai-Tibet power grid interconnection project were given. The findings in this paper can provide references for engineering managers and related stakeholders.

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“…Noticing the drawback of FST in such an application, Tah and Carr (2001) proposed a new combination rule in the aggregation process of a predominant risk factor. Choi et al (2004) developed a FST model to analyze risks using objective probabilities, subjective judgments, and linguistic variables. Similarly, Shang et al (2005) designed a Fuzzy-based mechanism for risk assessment for the conceptual design stages of a construction project.…”

Section: Fuzzy Logic and Fst In Construction Risk Managementmentioning

confidence: 99%

Design and Pilot Run of Fuzzy Synthetic Model (Fsm) for Risk Evaluation in Civil Engineering

Abdul‐Rahman

Chen

Lee

2013

Journal of Civil Engineering and Management

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Abstract. Most of the current construction risk assessment tools deliver unsatisfactory results because the prerequisite for their effective applications rely on the availability of high quality data especially during the early stage of a project. Unfortunately, such data are limited, ambiguous or even not exist due to the great uncertainty inherent in construction projects. Based on Fuzzy Synthetic Analysis (FSA), a model development team was formed among construction engineers, IT professionals, and Mathematicians in developing a holistic risk assessment model to estimate the construction risks especially for the situations with incomplete data and vague environments. Through qualitative scales defined by triangular fuzzy numbers used in pairwise comparisons to capture the vagueness in the linguistic variables, a risk assessment model using Analytic Hierarchy Process (AHP) was developed. The Pilot Run revealed the developed Fuzzy Synthetic Model (FSM) could accelerate the decisionmaking process and provide optimal allocation of project resources to mitigate possible risks detrimental to the success of a project in terms of time, cost, and quality.

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Risk Assessment Methodology for Underground Construction Projects

Cited by 153 publications

References 11 publications

An examination of Thai practitioners’ perceptions of risk assessment techniques in real estate development projects

An examination of Thai practitioners’ perceptions of risk assessment techniques in real estate development projects

Risk Evaluation of Qinghai–Tibet Power Grid Interconnection Project for Sustainability

Design and Pilot Run of Fuzzy Synthetic Model (Fsm) for Risk Evaluation in Civil Engineering

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