Agent-Based Model Shows Climate Shocks Create Migration Traps for Low-Income Populations
Researchers have developed an agent-based computational model showing that increasingly frequent extreme climate events can paradoxically immobilize low-income populations rather than push them to migrate. The model links environmental shocks to individual decision-making through perceived risk, migration aspirations, and financial capability, finding that repeated shocks erode the wealth needed to relocate. The findings suggest climate change may deepen mobility inequality, with wealthier individuals retaining options while the most vulnerable become stranded.
A new preprint posted to arXiv presents an agent-based model (ABM) designed to simulate how rising frequencies of extreme climate events shape human migration decisions at the individual level. Drawing on the aspirations-capabilities framework from migration theory, the model captures a central tension: climate shocks simultaneously raise people's desire to leave and destroy the financial resources required to do so. Simulations show this dynamic produces non-linear mobility outcomes, including a 'poverty trap' effect in which the most climate-stressed and least wealthy agents become effectively immobile. Higher-income agents, by contrast, retain the flexibility to migrate voluntarily or to stay by choice. The model also incorporates spatial heterogeneity in shock exposure and the role of diaspora networks in supporting migration capability. These results imply that conventional assumptions linking more climate stress to more migration may be incomplete, and that policy interventions targeting financial resources for vulnerable populations could be critical. The paper is 44 pages including appendices and 14 figures, and has been submitted to the Physics and Society section of arXiv.
What's missing
The model is a theoretical simulation and has not yet been empirically validated against real-world migration data from climate-affected regions. The preprint has not undergone peer review, so its assumptions, parameter choices, and generalizability remain to be scrutinized.
What different sources said
- arXiv physicsCenter
An Agent-Based Model for Migration Decision-Making Under Higher Frequency of Extreme Climate Events
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