2019/04/23 by Caleb Robinson, Robinson, Caleb, Bistra Dilkina +4
Computer Science · Decision Sciences · Social Sciences · #Climate Change, Adaptation, Migration #Computers and Society (cs.CY) #FOS: Computer and information sciences #Migration, Aging, and Tourism Studies #cs.CY #demographic modeling and climate adaptation
paper · pdf · doi:10.48550/arxiv.1904.10160
In submission to PLOS One
arxiv created 2019/04/23 · openalex publication_date 2019/04/23 · arxiv updated 2019/08/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We propose a framework to examine future migration patterns of people under different sea level rise scenarios using models of human migration. Specifically, we couple a sea level rise model with a data-driven model of human migration, creating a generalized joint model of climate driven migration that can be used to simulate population distributions under potential future sea level rise scenarios. We show how this joint model relaxes assumptions in existing efforts to model climate driven human migration, and use it to simulate how migration, driven by sea level rise, differs from baseline migration patterns. Our results show that the effects of sea level rise are pervasive, expanding beyond coastal areas via increased migration, and disproportionately affecting some areas of the United States. The code for reproducing this study is available at https://github.com/calebrob6/migration-slr.