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Framework for Modeling Urban Restoration Resilience Time in the Aftermath of an Extreme Event
Natural Hazards Review
  • Varun Ramachandran
  • Suzanna Long, Missouri University of Science and Technology
  • Tom Shoberg
  • Steven Corns, Missouri University of Science and Technology
  • Hector J. Carlo
Abstract

The impacts of extreme events continue long after the emergency response has terminated. Effective reconstruction of supply-chain strategic infrastructure (SCSI) elements is essential for postevent recovery and the reconnectivity of a region with the outside. This study uses an interdisciplinary approach to develop a comprehensive framework to model resilience time. The framework is tested by comparing resilience time results for a simulated EF-5 tornado with ground truth data from the tornado that devastated Joplin, Missouri, on May 22, 2011. Data for the simulated tornado were derived for Overland Park, Johnson County, Kansas, in the greater Kansas City, Missouri, area. Given the simulated tornado, a combinatorial graph considering the damages in terms of interconnectivity between different SCSI elements is derived. Reconstruction in the aftermath of the simulated tornado is optimized using the proposed framework to promote a rapid recovery of the SCSI. This research shows promising results when compared with the independent quantifiable data obtained from Joplin, Missouri, returning a resilience time of 22 days compared with 25 days reported by city and state officials

Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
  • Geographic Information System (GIS),
  • Resilience Time,
  • Restoration,
  • Supply Chain,
  • Tornado,
  • Image Reconstruction,
  • Combinatorial Graphs,
  • Emergency Response,
  • Ground Truth Data,
  • Interconnectivity,
  • Re Connectivities,
  • State Officials,
  • Strategic Infrastructure,
  • Tornadoes,
  • Aftershock,
  • Environmental Restoration,
  • Extreme Event,
  • Interdisciplinary Approach,
  • Spatiotemporal Analysis,
  • Strategic Approach,
  • Urban Area,
  • Johnson County [Kansas],
  • Joplin,
  • Kansas,
  • Missouri,
  • United States
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 American Society of Civil Engineers (ASCE), All rights reserved.
Publication Date
11-1-2015
Publication Date
01 Nov 2015
Citation Information
Varun Ramachandran, Suzanna Long, Tom Shoberg, Steven Corns, et al.. "Framework for Modeling Urban Restoration Resilience Time in the Aftermath of an Extreme Event" Natural Hazards Review Vol. 16 Iss. 4 (2015) ISSN: 1527-6988
Available at: http://works.bepress.com/steven-corns/9/