Organizing Theories for Disasters into a Complex Adaptive System Framework

Annetta Burger, William G. Kennedy, Andrew Crooks

Research output: Contribution to journalReview articlepeer-review

11 Scopus citations

Abstract

Increasingly urbanized populations and climate change have shifted the focus of decision makers from economic growth to the sustainability and resilience of urban infrastructure and communities, especially when communities face multiple hazards and need to recover from recurring disasters. Understanding human behavior and its interactions with built environments in disasters requires disciplinary crossover to explain its complexity, therefore we apply the lens of complex adaptive systems (CAS) to review disaster studies across disciplines. Disasters can be understood to consist of three interacting systems: (1) the physical system, consisting of geological, ecological, and human-built systems; (2) the social system, consisting of informal and formal human collective behavior; and (3) the individual actor system. Exploration of human behavior in these systems shows that CAS properties of heterogeneity, interacting subsystems, emergence, adaptation, and learning are integral, not just to cities, but to disaster studies and connecting them in the CAS framework provides us with a new lens to study disasters across disciplines. This paper explores the theories and models used in disaster studies, provides a framework to study and explain disasters, and discusses how complex adaptive systems can support theory building in disaster science for promoting more sustainable and resilient cities.

Original languageEnglish
Article number61
JournalUrban Science
Volume5
Issue number3
DOIs
StatePublished - Sep 2021
Externally publishedYes

Funding

This research was partially supported in part by the Defense Technology Research Agency (DTRA) under Grant number HDTRA1-16-0043 and the Center for Social Complexity at George Mason University. The opinions, findings, and conclusions or recommendations expressed in this work are those of the authors and do not necessarily reflect the views of the sponsors.

Keywords

  • cities
  • complex adaptive systems
  • computational social science
  • disasters
  • human behavior

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