Leontief-Based Model of Risk in Complex Interconnected Infrastructures
By Yacov Y. Haimes, P. Jiang. 2001
637 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/41a8956ddee2ce72d28d20aa384fb5b9c755aa88
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Joost R. Santos
- Stéphane Hallegatte
- Samiul Hasan
- Greg Foliente
- Y. Okuyama
- Terrence K. Kelly
- James P. Peerenboom
- Viknesh Andiappan
In Statistics and Probability
- Y. Okuyama
- Samiul Hasan
- Greg Foliente
- Terrence K. Kelly
- Joost R. Santos
- Terry L. Friesz
- James P. Peerenboom
- Stéphane Hallegatte
Citations in the corpus
- Quantifying the daily economic impact of extreme space weather due to failure in electricity transmission infrastructure (2017, background): “…the power sector can cascade to other critical interdependent infrastructure systems, disrupting business activities and inducing a range of other economic and social consequences that can affect the global economy [Ouyang, 2014; Anderson et al., 2007; Haimes and Jiang, 2001; Rinaldi et al., 2001].”
- Modeling and simulating critical infrastructures and their interdependencies (2004, methodology): “This model has been extended to include nonlinearities and time dependencies, and applied to examining the spreading of risk among interdependent infrastructures [18].”
- Modeling infrastructure system interdependencies and socioeconomic impacts of failure in extreme events: emerging R&D challenges (2015, methodology): “to describe the ripple effects of disruptions in interdependent systems (Haimes and Jiang 2001).”
- An Adaptive Regional Input‐Output Model and its Application to the Assessment of the Economic Cost of Katrina (2006, methodology): “Representing these processes in detail would require a model at the production-unit scale or, like in Haimes and Jiang (2001) and Haimes et al. (2005), a model based on failure probabilities.”
- State-Of-The-Art Review of Mathematical Optimisation Approaches for Synthesis of Energy Systems (2017, background): “IIM is an approach proposed by Haimes and Jiang (2001) to analyse the failure of interdependent infrastructure systems (described by a system of linear equations) suffering from disruption events.”
- Restoration of Services in Interdependent Infrastructure Systems: A Network Flows Approach (2007, background): “Haimes and Jiang [22] present a Leontief-based input–output model called the inoperability input–output model (IIM) that enabled the accounting for interconnectedness among infrastructure systems.”
- Identifying, understanding, and analyzing critical infrastructure interdependencies (2001, methodology): “Other approaches, such as those based on the Leontief economic model, compute flows of commodities and shared risks among sectors [ 26 ].”
- DISASTER IMPACT AND INPUT–OUTPUT ANALYSIS (2014, background): “Haimes and Jiang (2001) laid the conceptual and theoretical foundations for the IIM, while Santos and Haimes (2004) developed a process in which IO data can be utilized to study the higher order effects of inoperability across interdependent economic systems. Since then, several scholars from USA, I”
- Dynamic Game Theoretic Model of Multi-Layer Infrastructure Networks (2005, background): “Haimes and Jiang (2001) propose a Leontief-based input-output model to formulate the interdependencies of interconnected critical infrastructures in terms of failure risk.”
- Economic resilience: definition and measurement (2014, methodology): “…(Leontief, 1951), in which the production of one unit in one sector requires a fixed amount of inputs from other sectors, and in which prices do not play any role (Bockarjova et al., 2004; Haimes and Jiang, 2001; Hallegatte, 2014, 2008; Okuyama, 2004; Okuyama et al., 2004; Santos and Haimes, 2004).”