Article
 

Agent-based tsunami evacuation modeling of unplanned network disruptions for evidence-driven resource allocation and retrofitting strategies

Public Deposited
default representative image
Request Accessible Version
https://ir.library.oregonstate.edu/concern/articles/7d278z89t

Descriptions

Attribute NameValues
Alternative Title
Creator
Abstract
  • The M9 Cascadia subduction zone earthquake represents one of the most pressing natural hazard threats in the Pacific Northwest of the USA with an astonishing high 7–12% chance of occurrence by 2060, mirroring the 2011 devastating earthquake and tsunami in Japan. Yet this region, like many other coastal communities, is underprepared, lacking a comprehensive understanding of unplanned network disruptions as a key component to disaster management planning and infrastructure resilience. The goals of this paper are twofold: (1) to conduct a network vulnerability assessment to systematically characterize the importance of each link’s contribution to the overall network resilience, with specific emphasis on identifying the most critical set of links and (2) to create an evidence-driven retrofitting resource allocation framework by quantifying the impacts of unplanned network disruptions to the critical links on network resilience and retrofitting planning. This research used the city of Seaside on the Oregon coast as a study site to create the agent-based tsunami evacuation modeling and simulation platform with an explicit focus on the transportation network. The results indicated that (1) the network bridges are not equally important and some of the critical links are counterintuitive and (2) the diverse ways of spending the limited retrofitting resources can generate dramatically different life safety outcomes. These results strongly suggest that accurate characterization and measurement of infrastructure network failures will provide evidence-driven retrofitting planning strategies and inform resource allocations that enhance network resilience.
License
Resource Type
DOI
Date Issued
Citation
Journal Title
Journal Volume
  • 88
Journal Issue/Number
  • 3
Academic Affiliation
Non-Academic Affiliation
Rights Statement
Related Items
  • Oregon Sea Grant website
Publisher
Peer Reviewed
Language
ISSN
  • 1573-0840
Accessibility Feature

Relationships

Parents:
In Collection:

Items