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Title: Resilience of Urban Transport Network-of-Networks under Intense Flood Hazards Exacerbated by Targeted Attacks

Journal Article · · Scientific Reports
 [1]; ORCiD logo [2];  [1]
  1. Northeastern Univ., Boston, MA (United States). Sustainability and Data Sciences Lab.
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). National Security Directorate

Natural hazards including floods can trigger catastrophic failures in interdependent urban transport network-of-networks (NoNs). Population growth has enhanced transportation demand while urbanization and climate change have intensified urban floods. However, despite the clear need to develop actionable insights for improving the resilience of critical urban lifelines, the theory and methods remain underdeveloped. Furthermore, as infrastructure systems become more intelligent, security experts point to the growing threat of targeted cyber-physical attacks during natural hazards. Here we develop a hypothesis-driven resilience framework for urban transport NoNs, which we demonstrate on the London Rail Network (LRN). We find that topological attributes designed for maximizing efficiency rather than robustness render the network more vulnerable to compound natural-targeted disruptions including cascading failures. Our results suggest that an organizing principle for post-disruption recovery may be developed with network science principles. Our findings and frameworks can generalize to urban lifelines and more generally to real-world spatial networks.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE; National Science Foundation (NSF)
Grant/Contract Number:
AC05-76RL01830; 1447587; 1735505; 1442728
OSTI ID:
1638486
Report Number(s):
PNNL-SA-153287
Journal Information:
Scientific Reports, Vol. 10, Issue 1; ISSN 2045-2322
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 29 works
Citation information provided by
Web of Science

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Cited By (13)

Decomposition algorithms for system reliability estimation with applications to interdependent lifeline networks
  • Paredes, Roger; Dueñas‐Osorio, Leonardo; Hernandez‐Fajardo, Isaac
  • Earthquake Engineering & Structural Dynamics, Vol. 47, Issue 13 https://doi.org/10.1002/eqe.3071
journal August 2018
Probabilistic multi-scale modeling of interdependencies between critical infrastructure systems for resilience journal July 2017
Resilience metrics and measurement methods for transportation infrastructure: the state of the art journal April 2018
Temporal networks: a review and opportunities for infrastructure simulation journal February 2020
Alternative Resilience Indices for City Ecosystems Subjected to Natural Hazards: Alternative resilience indices for city ecosystems subjected to natural hazards journal June 2017
Improving repair sequence scheduling methods for postdisaster critical infrastructure systems journal December 2018
Interdependent Network Recovery Games journal October 2017
Integrating Operational and Organizational Aspects in Interdependent Infrastructure Network Recovery journal June 2019
A Set-Based Approach to Support Decision-Making on the Restoration of Infrastructure Networks journal May 2017
An outer approximation method for the road network design problem journal March 2018
Modeling joint restoration strategies for interdependent infrastructure systems journal April 2018
Resilience of Urban Technical Networks journal September 2019
Sustainable Decision-Making in Road Development: Analysis of Road Preservation Policies journal January 2020

Figures / Tables (9)