Overtopping hazards to port activities: Application of a new methodology to risk management (POrt Risk MAnagement Tool)

Alises, Ana; Molina, Rafael; Gómez, Rebeca; Pery, Pascual; Castillo, Carmen

doi:10.1016/j.ress.2013.09.005

Cited by 23 publications

(17 citation statements)

References 17 publications

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“…The methodology is based on the previous implementation of a risk analysis. Although, in the past few years, several examples dealing with risk assessment and vulnerability have been addressed in the Spanish ports (see Abanades et al, 2012;Alises et al, 2014, the method used in the present case includes 4 key terms combined to define risk levels: failure probability, failure intensity, vulnerability of the structure and related activities and exposure of the latter to the former. For each scenario, the risk analysis is repeated over all the mitigation/adaptation alternatives under study including the unaltered one so that a comparison can be done in terms of their risk levels and costs.…”

Section: Methodsmentioning

confidence: 99%

A Methodology to Prioritize Investments to Reduce Risks in Ports

Castillo¹,

Galán²,

Balmaseda³

et al. 2018

Int. Conf. Coastal. Eng.

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In many countries worldwide, a strong economical effort in the construction of coastal infrastructures has already been faced. Nowadays, due to the financial crisis, most of the efforts are devoted to the conservation and maintenance of coastal structures instead of building new ones. Furthermore, the expected variations in sea level and met-ocean conditions due to climate change modify the stochastic nature of both wave loading and structural response which is different nowadays from that at the time the structures were designed. These facts encourage the coastal engineering community towards the development of reliable risk management and decision-making tools. A key point in the decision-making process is how to prioritize investments when deciding about adaptation or mitigation alternatives. This paper aims at providing a proposal including tips to select among the possible alternatives based on risk analysis and how each alternative modifies the risk level compared to the do-nothing alternative. An example on a Spanish port will be provided for better understanding.

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Section: Methodsmentioning

confidence: 99%

A Methodology to Prioritize Investments to Reduce Risks in Ports

Castillo¹,

Galán²,

Balmaseda³

et al. 2018

Int. Conf. Coastal. Eng.

Self Cite

View full text Add to dashboard Cite

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“…The hidden layer makes nonlinear transform between the input spaces and the hidden spaces generally expressed by formula (1).…”

Section: Rbf Artificial Neural Networkmentioning

confidence: 99%

“…During the past years, researches on the risk analysis of water hazard can be summarized as methods based on statistics, RS and GIS, the index system and the scenario simulation [1,9,19,[23][24][25]. Specially, in the study of statistics, Nott pointed out that historical flood data should be regarded as an important basis to assess the risk of regional floods [22]; Liu and Shi calculated the flood risk of the Yangtze River from 1911 to 1915 according to the index based on the historical data of Yangtze River from 1736 to 1911 [14]; Easterling et al gave a review on observed variability and trends in extreme climate events [6].…”

Section: Introductionmentioning

confidence: 99%

A risk assessment method based on RBF artificial neural network - cloud model for urban water hazard

Liu

Wang

et al. 2014

Journal of Intelligent &Amp; Fuzzy Systems

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A risk assessment for urban water hazard based on RBF artificial neural network -Cloud model (RBF-ANN-Cloud) is proposed, according to the nonlinear characteristics, randomness and fuzziness in water hazard. Four assessment factors influencing urban water hazard are selected; the ranges of risk levels are calculated according to the Pearson-III frequency curve and the comprehensive cloud model of all risk levels belonging to assessment factors are generated. Historical data of assessment factors are simulated and forecasted by RBF artificial neural network; distribution curves of certainty degrees of risk levels are drawn, which indicate the final water hazard risk. Comparative researches with ARIMA and fuzzy decision-making set showed RBF-ANN-Cloud's suitability and effectiveness in water hazard risk assessment. RBF-Cloud model provides a new way of forecast and assessment of urban water hazard.

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“…(b) Majority of the methods obtainable on risk practices are either industry-specialized or project-specific; it is hard to validate them in other disciplines. For example, the methodology presented by Alises is decidedly specific to port infrastructures and overtopping risk assessments [17]. Likewise, all the risk management methods reviewed by Stern [18] are software development or IT centric.…”

Section: Introductionmentioning

confidence: 99%

Risk Leveling in Program Environments—A Structured Approach for Program Risk Management

2015

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Programs are demarcated as administrative structures established to realize planned organizational strategies through multi-project activities. Programs occupy a distinct locus in organizational hierarchy, so therefore necessitate specialized management approaches. Risks in programs tend to widen the gap between the organizational plans and the actual program realizations. However, effective risk management can minimize these gaps. This research frames a structured approach for program risk management, called Risk Leveling in Program Environments (RLPE), which suggests (a) a deliberate shift of risks to the right organizational level where they can be addressed most effectively; and (b) a unique procedure for risk management, which attempts to stabilize the risky contexts in programs. RLPE tracks the standard risk management process, preserves distinct program locus, and employs certain qualitative and quantitative measures to achieve risk leveled environments for program success. It has been demonstrated how certain tools and concepts, such as Analytical Hierarchy Process (AHP), As Low As Reasonably Practicable (ALARP), standard deviation, etc. can be employed for risk oriented decision making in programs. RLPE is an instrumental approach, which can help the policy makers in controlling the risky contexts thereby providing sustainable growth for development programs. The offered approach can be particularly advantageous for risk management in large-scale (development) programs. OPEN ACCESSSustainability 2015, 7 5897

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Overtopping hazards to port activities: Application of a new methodology to risk management (POrt Risk MAnagement Tool)

Cited by 23 publications

References 17 publications

A Methodology to Prioritize Investments to Reduce Risks in Ports

A Methodology to Prioritize Investments to Reduce Risks in Ports

A risk assessment method based on RBF artificial neural network - cloud model for urban water hazard

Risk Leveling in Program Environments—A Structured Approach for Program Risk Management

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