A coupled agent-based model for France for simulating adaptation and migration decisions under future coastal flood risk.

ABSTRACT: In this study, we couple an integrated flood damage and agent-based model (ABM) with a gravity model of internal migration and a flood risk module (DYNAMO-M) to project household adaptation and migration decisions under increasing coastal flood risk in France. We ground the agent decision rules in a framework of subjective expected utility theory. This method addresses agent's bounded rationality related to risk perception and risk aversion and simulates the impact of push, pull, and mooring factors on migration and adaptation decisions. The agents are parameterized using subnational statistics, and the model is calibrated using a household survey on adaptation uptake. Subsequently, the model simulates household adaptation and migration based on increasing coastal flood damage from 2015 un

SUBMITTER: Tierolf L 

PROVIDER: S-EPMC10011601 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature