Optimizing climate-induced migration: A temporal multi-layer network approach

doi:10.1016/j.ijdrr.2024.105172

Return

Optimizing climate-induced migration: A temporal multi-layer network approach

2025-02-01

PRE

Sridhar Radhakrishnan

Chie Noyori‐Corbett

DOI：10.1016/j.ijdrr.2024.105172

Original

Original request for help

Save

Abstract

En 中文

Resettlement planning for refugees has historically focused on immediate, short-term solutions, often neglecting the essential foresight needed for mid-term and long-term accommodations. To adequately prepare for long-term dynamics, it is crucial to account for the changing conditions and needs that could impact resource requirements. In response, we propose a model to provide solutions considering changing demands and capacities in resettlement planning. Inspired by the concept of temporal networks, our method constructs a time-dependent network divided into various temporal layers. Each layer serves as a static depiction of the network at specific intervals, capturing the network's evolution and reflecting the shifting resettlement needs. We solve each layer's minimum-cost flow problem and apply the results across different periods. Beyond the logistics of actual refugee movements, our model integrates the notion of 'integration success as a critical measure, evaluating the effectiveness of resettlement in facilitating refugees' smooth transition into new communities. A high integration success score reflects the successful assimilation of a significant refugee population. We detail an mixed-integer programming model to implement this approach, demonstrate its capability, and assess its performance across various scenarios. This advanced model offers a comprehensive framework for planning refugee resettlement that balances immediate needs with long-term integration results. Our results reveal that the model provides insights by dynamically adjusting supplies and capacities based on previous periods. These adjustments allow for strategic delays and modifications in relocation flows to optimize the relocation process.

Keywords:

Refugee resettlement

Climate change

Temporal networks

Humanitarian logistics

Optimization