Simulating Community Dynamics in Rural-Urban Water Transfers through an Integrated Agent-Based and Input-Output Modeling Approach

dc.contributor.authorBeyer, Elizabeth Graceen
dc.contributor.committeechairMarston, Landon T.en
dc.contributor.committeememberLittle, John C.en
dc.contributor.committeememberAmaya, Maria Teresaen
dc.contributor.departmentCivil and Environmental Engineeringen
dc.date.accessioned2025-09-09T08:01:56Zen
dc.date.available2025-09-09T08:01:56Zen
dc.date.issued2025-09-08en
dc.description.abstractAs societal water demands grow and suitable water supplies decline, water users are increasingly in conflict over this limited resource. In regions where water is sufficiently limited, water is often already fully allocated, leaving reallocation between users as the most viable solution to meet new water demands. Agriculture is the largest water consumer, making it a widespread target for reallocation. Urban areas often seek to purchase water rights from nearby rural farmers and transfer these water allocations out of the rural area. The water-exporting rural community typically experiences not only the loss of water, but also jobs, economic output, and population. Although rural-urban water transfers are an increasingly common mechanism of water reallocation, the role of social dynamics in these conflicts is underexplored. Our research aims to fill this gap by addressing two key questions: (1) How does the sensitivity of rural water rights holders to social standing and the collective good influence the dynamics of rural-urban water transfers over time? and (2) How do rural community payments from urban water buyers influence these transfer dynamics? We propose a new modeling framework, built on a coupled agent-based model and input-output economic model, that includes enhanced community features to explore how social aspects shape rural-urban water transfers. We demonstrate the capabilities of our modeling framework through the case of the San Luis Valley in Colorado, US, an agricultural region that has been targeted by urban areas despite significant local opposition. Our modeling framework yields insights that expand our fundamental understanding of the complex dynamics involved in rural-urban water transfers and thereby better inform water management.en
dc.description.abstractgeneralAround the world, water demand continues to grow, leading to conflict over the use of this limited resource. A common solution is to reallocate water from one use to another. Growing cities often seek to buy water from nearby rural farms. While this helps cities meet their needs, the rural communities that sell the water can lose more than just their water; they can also lose jobs, economic stability, and population. These rural-urban water transfers are becoming more common, but we do not fully understand how social aspects play into these conflicts. Our research explores this gap by asking two questions: (1) How do farmers' sense of social standing and community health affect whether they are willing to sell their water rights to a city? and (2) How do payments from a city to a rural community influence these decisions? To answer these questions, we developed a modeling framework with new community features that allow us to explore how social aspects shape these water transfers. We demonstrate our model using the San Luis Valley in Colorado, a farming community that has been targeted by cities for water for decades, despite strong local opposition. Our research provides new insights into the complex dynamics of rural-urban water transfers and can help inform water management solutions.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:44616en
dc.identifier.urihttps://hdl.handle.net/10919/137648en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectRural-Urban Water Transfersen
dc.subjectHuman-Water Systemsen
dc.subjectWater Reallocationen
dc.titleSimulating Community Dynamics in Rural-Urban Water Transfers through an Integrated Agent-Based and Input-Output Modeling Approachen
dc.typeThesisen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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