Review on modeling and simulation of interdependent critical infrastructure systems

https://hal.archives-ouvertes.fr/hal-00546144/document

Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas

Flooding can cause major disruptions in cities, and lead to significant impacts on people, the economy and on the environment. These impacts may be exacerbated by climate and socio-economic changes. Resilience thinking has become an important way for city planners and decision makers to manage flood risks.Despite different definitions of resilience, a consistent theme is that flood resilient cities are impacted less by extreme flood events. Therefore, flood risk professionals and planners need to understand flood impacts to build flood resilient cities. This paper presents a state-of-the-art literature review on flood impact assessment in urban areas, detailing their application, and their limitations. It describes both techniques for dealing with individual categories of impacts, as well as methodologies for integrating them. The paper will also identify future avenues for progress in improving the techniques.

/pdf/urban-flood-impact-assessment-a-state-of-the-art-review-1m8nfwe3ql.pdf

Urban flood impact assessment: A state-of-the-art review

The objective of this work is to determine and study, analyze and elaborate, classify and categorize the main risk analysis and risk-assessment methods and techniques by reviewing the scientific literature. The paper consists of two parts: a) the investigation, presentation and elaboration of the main risk-assessment methodologies and b) the statistical analysis, classification, and comparative study of the corresponding scientific papers published by six representative scientific journals of Elsevier B.V. covering the decade 2000–2009. The scientific literature reviewing showed that the risk analysis and assessment techniques are classified into three main categories: (a) the qualitative, (b) the quantitative, and (c) the hybrid techniques (qualitative–quantitative, semi-quantitative). The qualitative techniques are based both on analytical estimation processes, and on the safety managers–engineers ability. According to quantitative techniques, the risk can be considered as a quantity, which can be estimated and expressed by a mathematical relation, under the help of real accidents’ data recorded in a work site. The hybrid techniques, present a great complexity due to their ad hoc character that prevents a wide spreading. The statistical analysis shows that the quantitative methods present the highest relative frequency (65.63%) while the qualitative a lower one (27.68%). Furthermore the hybrid methods remain constantly at a very low level (6.70%) during the entire processing period.

http://risktr.com/dokumanlar/risk%20analysis%20and%20assessment%20methodologies%20in%20th%20work%20sites.pdf

Risk analysis and assessment methodologies in the work sites: On a review, classification and comparative study of the scientific literature of the period 2000–2009

Analysis of the marine traffic safety in the Gulf of Finland

https://dvikan.no/ntnu-studentserver/reports/A%20Bayesian%20Belief%20Network%20modelling%20of%20organisational%20factors%20in%20risk%20analysis%20A%20case%20study%20in%20maritime%20transportation.pdf

O. Grande

Papers

A Bayesian Belief Network modelling of organisational factors in risk analysis : A case study in maritime transportation

Risk analysis of underground infrastructures in urban areas

Analysis of maritime accident data with BBN models

A Bayesian Approach for Integrating organisational factors in risk analysis: A case study in maritime

Risk Analysis of underground infrastructures in urban areas: time-dependent interoperability analysis