Infrastructure Risk Analysis Model

Ezell, Barry; Farr, John V.; Wiese, Ian

doi:10.1061/(asce)1076-0342(2000)6:3(114)

Cited by 112 publications

(43 citation statements)

References 3 publications

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“…ezell et al [11] describe a method of including risk probability analysis in WSSs called 'Infrastructure risk analysis model' (Iram). It gives the average values for calculating the critical measures relevant and actually required for the assignment of resources to enhance the system's security.…”

Section: Risksmentioning

confidence: 99%

Infrastructure Management Methodologies in Risk Situations

Marques¹,

Cunha²

2011

Int. J. SDP

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Water supply systems (WSS) are complex but vitally important infrastructures in today's societies. They are exposed to various risk situations from natural disasters and human failings, but criminal acts can also compromise their operations and cause substantial economic and social damage. Several publications on how to tackle these concerns have appeared in the last few years. This paper presents the state of the art in terms of the vulnerabilities, risks, interdependencies and optimization models inherent to WSSs. It further describes the robust optimization method used in engineering systems and in actual WSSs. finally, the ways in which robustness is included, as described in case studies, are systematized and some conclusions are drawn.

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Section: Risksmentioning

confidence: 99%

Infrastructure Management Methodologies in Risk Situations

Marques¹,

Cunha²

2011

Int. J. SDP

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“…Firstly, the whole research context adopted the Infrastructure Risk Analysis Model (IRAM); which was developed by Ezell [3]. The second model was the Neural Network Deterioration Model (NNDM), which is specialized in assessing the deterioration of the storm drainage systems.…”

Section: Infrastructure Risk Analysismentioning

confidence: 99%

Risk-based assessment of climate change impact on storm drainage system

Alsaqqaf¹,

Zhang²,

Mohamed³

2010

WIT Transactions on Ecology and the Environment

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Climate change impacts on engineering infrastructures are increasing. The infrastructures are expected to withstand more frequent and severe weather events, more climate variability, and changes in climate norms (average conditions). It is anticipated that many civil infrastructure systems such as storm drainage, will fail to meet the expected environmental pressures. Therefore, it is important to identify current and future risks; to develop strategies for adapting such risks; and to implement an effective maintenance plan. In the study, the climate change impacts on storm drainage were investigated, particularly in Southport, Queensland, Australia. The historical rainfall data for 120 years were analysed to identify the changes in the trends, patterns and frequencies of rainfall. The peak flow in a flooding event was identified. The investigation provides essential information for the vulnerability to risk failure of the existing storm drainage system, such as at a critical pipe failure point. Finally, the research applied a risk-based vulnerability assessment by risk analysis and management quantification tools to quantify the impact that rainfall may induce through storm drainage failure.

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“…(Haimes, 2004) proposed a Hierarchical Holographic Model (HHM) to account for the interdependencies of the highway transportation system: Emergency Response and Recovery (ERR), Intermodal, Physical, Economic, Functional, and Users, pertaining to industry sectors that depend on the transportation infrastructure. (Ezell et al, 2000) augmented the HHM, considering a multitude of mathematical and conceptual models, each of them devoted to represent a particular aspect of the system: hierarchy, functions, components, operations etc. (Haimes et al 2001 and2007) proposed inoperability input-output model for the analysis of how perturbations (e.g., willful attacks, accidental events, or natural disasters) to a set of initially affected sectors impose adverse impacts on other sectors, due to their inherent interdependencies.…”

Section: Introductionmentioning

confidence: 99%

A Risk Assessment Framework For Interconnected And Interdependent Surface Transport Networks

Leventakis¹,

Sfetsos²,

Moustakidis³

et al. 2013

OTMCJ

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The functioning and viability of modern societies is heavily depended upon the continuous and uninterruptible operation of critical infrastructures. Surface transportation systems are in the heart of the daily lives of millions of citizens globally. As such, they are open and freely accessible by design and in the past have been exploited for terrorism attacks. Like many critical infrastructures, different multimodal and heterogeneous transportation networks are interconnected as integral part of larger synergistic systems forming a "network of networks". These underlying and often concealed interconnections between network assets enable adverse effects to manifest at assets that are initially unaffected by a security incident. The present paper introduces a holistic Risk Assessment Framework for heterogeneous, transportation networks that is applicable at a strategic level, where risk is propagated between interconnected networks through an "Incident Propagation Matrix" taking into account the nature of the interconnection and the type of threat. The proposed methodology views and models the risk analysis process from the perspective of the network operator and emergency responders and emphasizes the reduction of the impacts on business continuity. g . l e v e n t a k i s · a . s f e t s o s · n . m o u s t a k i d i s · n . n i k i t a k o s · a r i s k a s s e s s m e n t f r a m e w o r k f o r i n t e r c o n n e c t e d a n d . . . · pp 811 -819 o r g a n i z a t i o n , t e c h n o l o g y a n d m a n a g e m e n t i n c o n s t r u c t i o n · a n i n t e r n a t i o n a l j o u r n a l · 6(2)2013 812

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Infrastructure Risk Analysis Model

Cited by 112 publications

References 3 publications

Infrastructure Management Methodologies in Risk Situations

Infrastructure Management Methodologies in Risk Situations

Risk-based assessment of climate change impact on storm drainage system

A Risk Assessment Framework For Interconnected And Interdependent Surface Transport Networks

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