Application of a risk visualization framework using semantic risk data to empower risk communication

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2020

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Ertaymaz, Muzaffer Uğurcan

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Risk communication is one of the major factors that effects the success of a project. Conventional risk management focuses on risk checklists and matrices, and considerable amount of risk information is discarded and not communicated. Without communicating the necessary risk information, risk management strategies cannot be applied effectively. The purpose of this study is to develop a systematic and practical risk visualization framework that shall improve the risk communication strategies. The proposed framework is the demonstration of practical applications in construction sector as the communicated information depends on many different factors that can vary between companies. The demonstration of application of such framework starting with determination of nine commonly used types of risk- related semantic data from the literature. After determination of those types, the risk visualization methods that exists in the literature are identified and the selected types of data are integrated to those methods by considering visualization design guidelines. In order to demonstrate the iterative manner of development of risk visualizations that enhances risk communication, a workshop is prepared, and six sector practitioners are invited. The workshop consists two stages, pre- and post-presentation of visualizations. Participants are asked to rate the necessity of selected types of risk-related semantic data and the prepared risk visualizations in terms of four different aspects through a survey. In the end, the importance and value of risk visualization has been verified via the workshop and according to participant comments, visualizations are revisited, and necessary revisions are made.

Subject Keywords

Risk management., Risk Management, Risk Communication, Risk Visualization, Risk Visualization Framework.

URI

http://etd.lib.metu.edu.tr/upload/12625200/index.pdf
https://hdl.handle.net/11511/45414

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

M. U. Ertaymaz, “Application of a risk visualization framework using semantic risk data to empower risk communication,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Civil Engineering., Middle East Technical University, 2020.