EURO 2024 Copenhagen
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3258. Decentralization Approach for Global Relocation Planning under Climate Change

Invited abstract in session TD-21: Complex societal problems, stream OR in Humanitarian Operations (HOpe).

Tuesday, 14:30-16:00
Room: 49 (building: 116)

Authors (first author is the speaker)

1. Kash Barker
School of Industrial and Systems Engineering, University of Oklahoma
2. Buket Cilali
University of Oklahoma
3. Andres Gonzalez
School of Industrial and Systems Engineering, University of Oklahoma
4. Ahti Salo
Systems Analysis Laboratory, Aalto University School of Science

Abstract

The upcoming climate crisis is a consequential driver for displacement of communities, a little-studied problem in operations research. Its effects would strike people worldwide, causing displacement in great quantities. The unique characteristics of this problem - including consideration of a long-term planning horizon, future uncertainties, and heterogeneous populations and numerous locations under different climate change impacts at varying levels – require a different approach to handle this problem. For these reasons, our approach can assist in developing relocation plans to manage climate-change-induced movements with a long-term outlook while using the resources effectively and protecting the well-being and dignity of both displaced and receiving communities. The first step of these plans is the high-level planning of where the displaced people should go and when. The second step reflects the mixed decision-making structure resulting from the involvement of many local authorities and the necessity of looking after global humanitarian interests. We suggest a consensus structure that compromises the global outcomes and local interests using a global optimal model, self-optimal local models, and a final global model that uses the outputs of the global and self-optimal models and iterates by adjusting the decisions until fairness among all participating hosts is achieved.

Keywords

Status: accepted

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