Evaluation of Cascading Infrastructure Failures and Optimal Recovery from a Network Science Perspective

Mary Warner; Bharat Sharma; Udit Bhatia; Auroop Ganguly

doi:10.1007/978-3-030-14683-2_3

Evaluation of Cascading Infrastructure Failures and Optimal Recovery from a Network Science Perspective

Mary Warner, Bharat Sharma, Udit Bhatia, Auroop Ganguly

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

Abstract

This chapter reviews the network science literature in order to create a hypothesis for the recovery of infrastructure systems. We depict the cascade of infrastructure systems through networks and simulate perturbations within a singular topology and discuss how those impact multiple layers of an interconnected network. The simulation compares and contrasts the proposed recovery methods in the literature alongside true-to-life recovery, based upon case studies throughout the United States. We explore the limitations of imposing a recovery algorithm at various points in time during infrastructure failure. This chapter aims to provide resources that account for a quantitative approach to cascading infrastructure failures, as well as accounting for human nature, politics, perceptions, and communication that may prove to be hurdles to optimizing recovery.

Original language	English
Title of host publication	Springer Proceedings in Complexity
Publisher	Springer
Pages	63-79
Number of pages	17
DOIs	https://doi.org/10.1007/978-3-030-14683-2_3
State	Published - 2019
Externally published	Yes

Publication series

Name	Springer Proceedings in Complexity
ISSN (Print)	2213-8684
ISSN (Electronic)	2213-8692

Keywords

Climate Science
Critical Infrastructure
Hazards
Infrastructure
Network Science
Recovery
Resilience

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-030-14683-2_3

Cite this

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abstract = "This chapter reviews the network science literature in order to create a hypothesis for the recovery of infrastructure systems. We depict the cascade of infrastructure systems through networks and simulate perturbations within a singular topology and discuss how those impact multiple layers of an interconnected network. The simulation compares and contrasts the proposed recovery methods in the literature alongside true-to-life recovery, based upon case studies throughout the United States. We explore the limitations of imposing a recovery algorithm at various points in time during infrastructure failure. This chapter aims to provide resources that account for a quantitative approach to cascading infrastructure failures, as well as accounting for human nature, politics, perceptions, and communication that may prove to be hurdles to optimizing recovery.",

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AU - Sharma, Bharat

AU - Bhatia, Udit

AU - Ganguly, Auroop

PY - 2019

Y1 - 2019

N2 - This chapter reviews the network science literature in order to create a hypothesis for the recovery of infrastructure systems. We depict the cascade of infrastructure systems through networks and simulate perturbations within a singular topology and discuss how those impact multiple layers of an interconnected network. The simulation compares and contrasts the proposed recovery methods in the literature alongside true-to-life recovery, based upon case studies throughout the United States. We explore the limitations of imposing a recovery algorithm at various points in time during infrastructure failure. This chapter aims to provide resources that account for a quantitative approach to cascading infrastructure failures, as well as accounting for human nature, politics, perceptions, and communication that may prove to be hurdles to optimizing recovery.

AB - This chapter reviews the network science literature in order to create a hypothesis for the recovery of infrastructure systems. We depict the cascade of infrastructure systems through networks and simulate perturbations within a singular topology and discuss how those impact multiple layers of an interconnected network. The simulation compares and contrasts the proposed recovery methods in the literature alongside true-to-life recovery, based upon case studies throughout the United States. We explore the limitations of imposing a recovery algorithm at various points in time during infrastructure failure. This chapter aims to provide resources that account for a quantitative approach to cascading infrastructure failures, as well as accounting for human nature, politics, perceptions, and communication that may prove to be hurdles to optimizing recovery.

KW - Climate Science

KW - Critical Infrastructure

KW - Hazards

KW - Infrastructure

KW - Network Science

KW - Recovery

KW - Resilience

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DO - 10.1007/978-3-030-14683-2_3

M3 - Chapter

AN - SCOPUS:85065845557

T3 - Springer Proceedings in Complexity

SP - 63

EP - 79

BT - Springer Proceedings in Complexity

PB - Springer

ER -

Evaluation of Cascading Infrastructure Failures and Optimal Recovery from a Network Science Perspective

Abstract

Publication series

Keywords

UN SDGs

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