Resilience in the face of disaster: Accounting for varying disaster magnitudes, resource topologies, and (sub)population distributions in the PLAN C emergency planning tool

Giuseppe Narzisi, Joshua S. Mincer, Silas Smith, Bud Mishra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

PLAN C, an Agent-Based Model platform for urban disaster simulation and emergency planning, features a variety of reality-based agents interacting on a realistic city map and can simulate the complex dynamics of emergency responses in different urban catastrophe scenarios. Work reported here focuses on the incorporation of specific subpopulations of person agents, reflecting the existence of individuals with specific defining characteristics and needs, and their interactions with the available resources. Performance of these subpopulations are compared in both point-source attack and distributed disaster scenarios for disasters of different magnitudes. Specific "recovery points" can be derived both for total- and sub-populations, which estimate the duration of a response system's/city's vulnerability. The effect of varying topologies of available resources, i.e. different hospital maps, provides particular insight into the dynamics that can emerge in this complex system. PLAN C produces interesting emergent behavior which is often consistent with the literature on emergency medicine of previous events.

Original languageEnglish (US)
Title of host publicationHolonic and Multi-Agent Systems for Manufacturing - 3rd International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2007, Proceedings
PublisherSpringer Verlag
Pages433-446
Number of pages14
ISBN (Print)9783540744788
DOIs
StatePublished - 2007
Event3rd International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2007 - Regensburg, Germany
Duration: Sep 3 2007Sep 5 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4659 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2007
CountryGermany
CityRegensburg
Period9/3/079/5/07

Keywords

  • Agent-based modeling
  • Complex systems
  • Disaster management
  • PLAN C

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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