Using Prior Risk‐Related Knowledge to Support Risk Management Decisions: Lessons Learnt from a Tunneling Project

  title={Using Prior Risk‐Related Knowledge to Support Risk Management Decisions: Lessons Learnt from a Tunneling Project},
  author={Ibsen Chivat{\'a} C{\'a}rdenas and Saad H. S. Al-Jibouri and Johannes I. M. Halman and Wim van de Linde and Frank Kaalberg},
  journal={Risk Analysis},
The authors of this article have developed six probabilistic causal models for critical risks in tunnel works. The details of the models' development and evaluation were reported in two earlier publications of this journal. Accordingly, as a remaining step, this article is focused on the investigation into the use of these models in a real case study project. The use of the models is challenging given the need to provide information on risks that usually are both project and context dependent… 

An Approach for Risk Prioritization in Construction Projects Using Analytic Network Process and Decision Making Trial and Evaluation Laboratory

The results indicated that the proposed methodology could successfully reveal the important risk factors and define the interdependencies between them in the case study and can be considered as an efficient approach for risk assessment in construction projects.

Applications of Bayesian approaches in construction management research: a systematic review

This systematic review systematically reviews applications of Bayesian approaches in CM research and provides insights into potential benefits of this technique for driving innovation and productivity in the construction industry.

Port Knowledge Risk Management

The factors which determine the probability and probable outcome of critical events relating to environmental risks in port also include the level of expertise available to detect and manage the inherent risks.

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Utilizing previous lessons gained from past construction activities shall not be the task limited to project managers alone. Engineers involved in a certain project from the conception to

On the use of Bayesian networks as a meta-modelling approach to analyse uncertainties in slope stability analysis

  • Ibsen Chivatá Cárdenas
  • Computer Science
    Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
  • 2018
ABSTRACT In this paper, we report on the use of Bayesian networks, BNs, learnt from data generated by physical and numerical models, to overcome to a certain degree a number of complications in

Deep Foundation Pit Excavations Adjacent to Disconnected Piled Rafts: A Review on Risk Control Practice

Foundation pit excavation engineering is an old subject full of decision making. Yet, it still deserves further research due to the associated high failure cost and the complexity of the



Capturing and Integrating Knowledge for Managing Risks in Tunnel Works

An overview of judgment‐based biases that can appear in the elicitation of judgments for constructing Bayesian Networks and the provisos that can be made in this respect to minimize these types of bias are provided.

Modeling Risk‐Related Knowledge in Tunneling Projects

The article demonstrates how knowledge on a number of important potential failure events in tunnel works can be integrated and shows that the developed models that integrate risk‐related knowledge provide guidance as to the use of specific remedial measures.

Construction Project Risk Assessment Using Existing Database and Project-Specific Information

This paper develops a risk assessment methodology for construction projects by combining existing large quantities of data and project-specific information through updating approaches. Earlier

Expert elicitation and Bayesian analysis of construction contract risks: an investigation

Formal risk analysis techniques applied in managing construction project risks tend to focus on risks that lend themselves to ‘objective’ methods of economic analysis. Although subjective