Development of an Agent-Based Model on the Decision-Making of Dislocated People After Disasters

Yasmin Bhattacharya, Takaaki Kato

Research output: Chapter in Book/Report/Conference proceedingChapter


The process of disaster recovery involves the dynamic interaction of multiple factors which often remain hidden from the surface. Furthermore, due to empirical limitations, recovery outcomes are often superficially understood. This research introduces the conceptual framework of an agent-based model of disaster recovery which allows clarification of inter-related aspects such as: pre-disaster community characteristics, damage type, and the recovery policies applied. The proposed model is applied to simulate separate recovery scenarios with emphasis on different policy parameters. The emergent outcomes are consistent with documented recovery phenomena in the existing literature, indicating the potential use of such models for understanding recovery mechanisms and pre-evaluating recovery policies.

Original languageEnglish
Title of host publicationUrban Book Series
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages20
Publication statusPublished - 2021

Publication series

NameUrban Book Series
ISSN (Print)2365-757X
ISSN (Electronic)2365-7588


  • ABM
  • Decision-making
  • Disaster recovery
  • Multi-agent
  • Simulation

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Urban Studies


Dive into the research topics of 'Development of an Agent-Based Model on the Decision-Making of Dislocated People After Disasters'. Together they form a unique fingerprint.

Cite this