Literature DB >> 24916468

Summarizing risk using risk measures and risk indices.

Cameron A MacKenzie.   

Abstract

Our society is fascinated with risk in many different areas and disciplines. One of the main ways to describe and communicate the level of risk is through risk indices, which summarize risk using numbers or categories such as words, letters, or colors. These indices are used to communicate risks to the public, understand how risk is changing over time, compare among different risks, and support decision making. Given the different methods to construct risk indices, including flawed methods such as risk matrices, this article develops specific steps that analysts can follow to create a risk index. This article emphasizes the importance of describing risk with a probability distribution, developing a numerical risk measure that summarizes the probability distribution, and finally translating the risk measure to an index. Measuring the risk is the most difficult part and requires the analyst to summarize a probability distribution into one or possibly a few numbers. The risk measure can then be transformed to a numerical or categorical index. I apply the method outlined in this article to construct a risk index that compares the risk of fatalities in aviation and highway transportation.
© 2014 Society for Risk Analysis.

Keywords:  Risk communication; risk index; risk measure; transportation

Year:  2014        PMID: 24916468     DOI: 10.1111/risa.12220

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  3 in total

1.  Autologistic models for benchmark risk or vulnerability assessment of urban terrorism outcomes.

Authors:  Jingyu Liu; Walter W Piegorsch; A Grant Schissler; Susan L Cutter
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2017-10-10       Impact factor: 2.483

2.  Defending Against Advanced Persistent Threats Using Game-Theory.

Authors:  Stefan Rass; Sandra König; Stefan Schauer
Journal:  PLoS One       Date:  2017-01-03       Impact factor: 3.240

Review 3.  Sharing Knowledge to an Entrant for Production Investment Confronting COVID-19: Incentive Alignment and Lose-Lose Dilemma.

Authors:  Baozhuang Niu; Zhipeng Dai; Qiyang Li
Journal:  Risk Anal       Date:  2021-10-27       Impact factor: 4.302

  3 in total

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