2019 CSDMS meeting-012: Difference between revisions
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|CSDMS meeting institute= | |CSDMS meeting institute=Vanderbilt University | ||
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|CSDMS_meeting_select_clinics1_2019= | |CSDMS_meeting_select_clinics1_2019=3) Pangeo - Scalable Geoscience Tools Python | ||
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{{CSDMS meeting abstract template 2019}} | |CSDMS meeting abstract title=Environmental Migration and Land Inundation: An Agent-Based Modeling Approach | ||
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|CSDMS meeting coauthor first name abstract=Jonathan | |||
|CSDMS meeting coauthor last name abstract=Gilligan | |||
|CSDMS meeting coauthor institute / Organization=Vanderbilt University | |||
|CSDMS meeting coauthor town-city=Nashville | |||
|CSDMS meeting coauthor country=United States | |||
|State=Tennessee | |||
|CSDMS meeting coauthor email address=jonathan.gilligan@vanderbilt.edu | |||
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{{CSDMS meeting abstract template 2019 | |||
|CSDMS meeting abstract=Migration is a complex phenomenon that is impacted by economic, social, cultural, and environmental factors. This complexity makes it challenging to study, and especially challenging to understand how future environmental and climatic change may affect mobility and population movements. Agent-based modeling (ABM) is a promising but underutilized method for studying environmental impacts on human migration because of its ability to study connections between large-scale dynamics and individual decision-making. This work presents initial results from an original ABM that simulates household migration decisions in Bangladesh under environmental pressure. The model seeks to understand how riverbank erosion and land inundation impact mobility patterns under varying decision-making frameworks and livelihood opportunities. The model stochastically simulates inundation of land bordering a river. Agents whose land is flooded seek employment in a local labor market. Agents who cannot find employment within the community then face the decision to migrate or remain in the community with limited economic opportunity. We compare several different decision frameworks of varying complexity, in which the probability of choosing to migrate depends upon: household wealth alone, wealth, age, and household size, and finally using the Theory of Planned Behavior, which incorporates interactions between individual-level variables and community-level phenomenon, such as social norms, which are mediated through each agent’s social network. This model serves as a starting point to begin to test how different decision-making frameworks and environmental scenarios may produce different dynamics in the response to environmental stress. | |||
|CSDMS meeting posterPDF= Kelsea Best_CSDMS Conference Poster final.pdf | |||
|CSDMS meeting posterPNG= Kelsea Best_CSDMS Conference Poster final.png | |||
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Latest revision as of 07:55, 28 May 2019
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Environmental Migration and Land Inundation: An Agent-Based Modeling Approach
Migration is a complex phenomenon that is impacted by economic, social, cultural, and environmental factors. This complexity makes it challenging to study, and especially challenging to understand how future environmental and climatic change may affect mobility and population movements. Agent-based modeling (ABM) is a promising but underutilized method for studying environmental impacts on human migration because of its ability to study connections between large-scale dynamics and individual decision-making. This work presents initial results from an original ABM that simulates household migration decisions in Bangladesh under environmental pressure. The model seeks to understand how riverbank erosion and land inundation impact mobility patterns under varying decision-making frameworks and livelihood opportunities. The model stochastically simulates inundation of land bordering a river. Agents whose land is flooded seek employment in a local labor market. Agents who cannot find employment within the community then face the decision to migrate or remain in the community with limited economic opportunity. We compare several different decision frameworks of varying complexity, in which the probability of choosing to migrate depends upon: household wealth alone, wealth, age, and household size, and finally using the Theory of Planned Behavior, which incorporates interactions between individual-level variables and community-level phenomenon, such as social norms, which are mediated through each agent’s social network. This model serves as a starting point to begin to test how different decision-making frameworks and environmental scenarios may produce different dynamics in the response to environmental stress.
