A capital model for disaster resilience

Mihoko Sakurai, Jose J. Gonzalez, Richard T. Watson, Jiro Kokuryo

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

Abstract

This paper proposes a capital model for disaster resilience. A central notion to this effect is viewing an organization as a capital conversion and capital creation system (Mandviwalla et al. 2014). Systems resilience was originally defined as the measure of a systems persistence and ability to absorb disturbances (Holling 1973). Our approach corresponds to "resilience-1; Resilience as rebound from trauma and return to equilibrium as," which according to Woods (2015) is one of the four main categories of disaster resilience. We develop a system dynamics model expressing the main features observed in selected municipalities affected by the Great East Japan Earthquake. We show that the model is able to describe qualitatively the processes of capital destruction by the earthquake with the associated tsunami and the subsequent capital recreation. We discuss how the system dynamics model can be used to further increase our understanding of capital conversion processes in disaster resilience.

Original languageEnglish
Title of host publicationISCRAM 2016 Conference Proceedings - 13th International Conference on Information Systems for Crisis Response and Management
PublisherInformation Systems for Crisis Response and Management, ISCRAM
ISBN (Electronic)9788460879848
Publication statusPublished - 2016
Event13th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2016 - Rio de Janeiro, Brazil
Duration: 2016 May 222016 May 25

Other

Other13th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2016
CountryBrazil
CityRio de Janeiro
Period16/5/2216/5/25

Keywords

  • Capital conversion
  • Great East Japan Earthquake
  • Resilience
  • Simulation
  • System dynamics

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering

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