Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making

• URL: http://arxiv.org/abs/2504.10031v1
• Date: Mon, 14 Apr 2025 09:34:12 GMT
• Title: Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making
• Authors: Arthur Vandervoort, Miguel Costa, Morten W. Petersen, Martin Drews, Sonja Haustein, Karyn Morrissey, Francisco C. Pereira,
• Abstract summary: We propose a multi-modular framework that uses reinforcement learning as a decision-support tool for climate adaptation in Copenhagen.<n>Our framework integrates four interconnected components: long-term rainfall projections, flood modeling, transport accessibility, and wellbeing modeling.
• Score: 3.3024854970378317
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Subjective wellbeing is a fundamental aspect of human life, influencing life expectancy and economic productivity, among others. Mobility plays a critical role in maintaining wellbeing, yet the increasing frequency and intensity of both nuisance and high-impact floods due to climate change are expected to significantly disrupt access to activities and destinations, thereby affecting overall wellbeing. Addressing climate adaptation presents a complex challenge for policymakers, who must select and implement policies from a broad set of options with varying effects while managing resource constraints and uncertain climate projections. In this work, we propose a multi-modular framework that uses reinforcement learning as a decision-support tool for climate adaptation in Copenhagen, Denmark. Our framework integrates four interconnected components: long-term rainfall projections, flood modeling, transport accessibility, and wellbeing modeling. This approach enables decision-makers to identify spatial and temporal policy interventions that help sustain or enhance subjective wellbeing over time. By modeling climate adaptation as an open-ended system, our framework provides a structured framework for exploring and evaluating adaptation policy pathways. In doing so, it supports policymakers to make informed decisions that maximize wellbeing in the long run.

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