Back to Search Start Over

Structural model choices regularly overshadow parametric uncertainty in agent-based simulations of household flood risk outcomes.

Authors :
Yoon, Jim
Wan, Heng
Daniel, Brent
Srikrishnan, Vivek
Judi, David
Source :
Computers, Environment & Urban Systems. Jul2023, Vol. 103, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Agent-based models (ABMs) have been increasingly used for flood risk analysis, driven by the recognition that commonly used analyses typically neglect adaptive human behavior in relation to flood hazards. However, ABM simulation results can be highly sensitive to a number of modeling choices. Here, we introduce an agent-based modeling framework to explore the impact of structural versus parametric choices of household flood aversion on modeled outcomes of flood risk in a hypothetical urban environment. We deploy three structural variants of the model that fundamentally differ in the manner in which households are assumed to interface with flood hazards (disamenity, avoidance, and protection), evaluating multiple model parameterizations within each structural variant. The structural variants lead to fundamentally different conclusions regarding the evolution of flood risk, indicating that the structural choices made regarding human representation in flood risk ABMs have substantial bearing on modeling insights and ought to be elevated from an overlooked to a critical aspect of future modeling efforts. • We introduce a new agent-based modeling framework for urban flood risk analysis. • Structural choices regarding flood aversion significantly impact flood risk outcomes. • Overlooked structural choices should be a critical consideration in model formulation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01989715
Volume :
103
Database :
Academic Search Index
Journal :
Computers, Environment & Urban Systems
Publication Type :
Academic Journal
Accession number :
164257037
Full Text :
https://doi.org/10.1016/j.compenvurbsys.2023.101979