A coupled flood-agent-institution modelling (CLAIM) framework for urban flood risk management

Yared Abayneh Abebe*, Amineh Ghorbani, Igor Nikolic, Zoran Vojinovic, Arlex Sanchez

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

46 Citations (Scopus)
53 Downloads (Pure)

Abstract

In this paper, we describe a modelling framework that allows the integration of human and physical components of flood risk. Within this framework, flood risk management is conceptualized as a coupled human-flood system. The human subsystem includes individuals and their behaviour and institutions that shape human-flood interaction. The framework presents a dynamic integration between agent-based models of individuals and institutions and numerical flood models. We demonstrate the framework's modelling application by examining the effects of three institutions in the Caribbean island of Sint Maarten. The case study shows the capabilities of the framework by exploring impacts of existing policies on flood risk reduction. Coupled agent-based-flood models built using the framework are useful to analyse policy options that address flood hazard and communities' vulnerability and exposure to support policy decision making. These models also show how flood risk changes over time in relation to the human dynamics on the urban environment.

Original languageEnglish
Pages (from-to)483-492
Number of pages10
JournalEnvironmental Modelling and Software
Volume111
DOIs
Publication statusPublished - 2019

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Agent-based modelling
  • Coupled human-flood systems
  • Flood risk management
  • Institutions
  • Socio-hydrology
  • Urban flood modelling

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