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dc.contributor.authorO'Donnell, Emily
dc.contributor.otherPluchinotta, Irene
dc.contributor.otherPagano, Alessandro
dc.contributor.otherVilcan, Tudorel
dc.contributor.otherAhilan, Sangaralingam
dc.contributor.otherKapetas, Leon
dc.contributor.otherMaskrey, Shaun
dc.contributor.otherKrivtsov, Vladimir
dc.contributor.otherthorne, colin
dc.coverage.spatialEbbsfleet Garden City, Kent, UKen_UK
dc.coverage.temporalModelling from 2019 until 2049en_UK
dc.date.accessioned2021-01-13T08:30:30Z
dc.date.available2021-01-13T08:30:30Z
dc.date.issued2021-01-13
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/8302
dc.description.abstractGrowing urban populations, changes in rainfall patterns and ageing infrastructure represent significant challenges for urban water management (UWM). There is a critical need for research into how cities should adapt to become resilient to these impacts under uncertain futures. UWM challenges in the Ebbsfleet Garden City (UK) were investigated via a participatory process and potential sustainable solutions were explored using a System Dynamics Model (SDM). Collaborative development of the SDM by the Ebbsfleet Learning and Action Alliance developed stakeholders’ understanding of future UWM options and enabled a structured exploration of interdependencies within the current UWM system. Discussion by stakeholders resulted in a focus on potable water use and the development of the SDM to investigate how residential potable water consumption in the Ebbsfleet Garden City might be reduced through a range of interventions, e.g., socio-environmental and economic policy incentives. The SDM approach supports decision-making at a strategic, system-wide level, and facilitates exploration of the long-term consequences of alternative strategies, particularly those that are difficult to include in quantitative models. While an SDM can be developed by experts alone, building it collaboratively allows the process to benefit from local knowledge, resulting in a collective learning process and increased potential for adoption.en_UK
dc.language.isoenen_UK
dc.publisherThe University of Nottinghamen_UK
dc.relation.urihttp://www.urbanfloodresilience.ac.uk/learning-and-action-alliances/ebbsfleet-laa.aspxen_UK
dc.rightsCC-BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.lcshMunicipal water supplyen_UK
dc.subject.lcshGarden citiesen_UK
dc.subject.lcshWater-supply -- England -- Ebbsfleet Garden Cityen_UK
dc.subject.lcshWater-supply -- Mathematical modelsen_UK
dc.titleA participatory system dynamics model to investigate sustainable urban water management in Ebbsfleet Garden Cityen_UK
dc.identifier.doihttp://doi.org/10.17639/nott.7042
dc.subject.freeGroup Model Building, Collaborative Decision Making, Ebbsfleet Garden City, Integrated Water Management, System Dynamics, Stakeholdersen_UK
dc.subject.jacsEngineering::Others in engineeringen_UK
dc.subject.lcG Geography. Anthropology. Recreation::GE Environmental Sciencesen_UK
dc.date.collectionJune 2019-March 2020en_UK
uon.divisionUniversity of Nottingham, UK Campus::Faculty of Social Sciences::School of Geographyen_UK
uon.funder.controlledEngineering & Physical Sciences Research Councilen_UK
uon.datatypeExcel spreadsheet detailing scenarios run through a System Dynamics Model to investigate sustainable urban water management in the Ebbsfleet Garden Cityen_UK
uon.grantEP/P004180/1en_UK
uon.parentprojectAchieving Urban Flood Resilience in an Uncertain Futureen_UK
uon.collectionmethodScenarios created by a System Dynamics Model, run in Vensim® Software (by Ventana Systems).en_UK
uon.rightscontactIrene Pluchinotta (lead author)en_UK


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