Irene Pluchinotta
A participatory system dynamics model to investigate sustainable urban water management in Ebbsfleet Garden City
Pluchinotta, Irene; Pagano, Alessandro; Vilcan, Tudorel; Ahilan, Sangaralingam; Kapetas, Leon; Maskrey, Shaun; Krivtsov, Vladimir; Thorne, Colin; O'Donnell, Emily
Authors
Alessandro Pagano
Tudorel Vilcan
Sangaralingam Ahilan
Leon Kapetas
Shaun Maskrey
Vladimir Krivtsov
Colin Thorne
Dr EMILY O'DONNELL Emily.O'donnell@nottingham.ac.uk
ASSISTANT PROFESSOR
Contributors
Irene Pluchinotta
Project Member
Alessandro Pagano
Project Member
Tudorel Vilcan
Project Member
Sangaralingam Ahilan
Project Member
Leon Kapetas
Project Member
Shaun Maskrey
Project Member
Vladimir Krivtsov
Project Member
Colin Thorne
Project Leader
Dr EMILY O'DONNELL Emily.O'donnell@nottingham.ac.uk
Project Manager
Abstract
Growing 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.
Citation
Pluchinotta, I., Pagano, A., Vilcan, T., Ahilan, S., Kapetas, L., Maskrey, S., Krivtsov, V., Thorne, C., & O'Donnell, E. (2021). A participatory system dynamics model to investigate sustainable urban water management in Ebbsfleet Garden City. Sustainable Cities and Society, 67, Article 102709. https://doi.org/10.1016/j.scs.2021.102709
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 2, 2021 |
Online Publication Date | Jan 13, 2021 |
Publication Date | Apr 1, 2021 |
Deposit Date | Jan 6, 2021 |
Publicly Available Date | Jan 14, 2022 |
Journal | Sustainable Cities and Society |
Print ISSN | 2210-6707 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 67 |
Article Number | 102709 |
DOI | https://doi.org/10.1016/j.scs.2021.102709 |
Keywords | System Dynamics, Ebbsfleet Garden City, Participatory Modelling, Sustainable Urban Water Management, Sustainability, Stakeholders |
Public URL | https://nottingham-repository.worktribe.com/output/5202243 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S2210670721000044?via%3Dihub |
Additional Information | Pluchinotta, I., Pagano, A., Vilcan, T., Ahilan, S., Kapetas, L., Maskrey, S., Krivtsov, V., Thorne, C., & O’Donnell, E. (2021). A PARTICIPATORY SYSTEM DYNAMICS MODEL TO INVESTIGATE SUSTAINABLE URBAN WATER MANAGEMENT IN EBBSFLEET GARDEN CITY. Sustainable Cities and Society, 102709. https://doi.org/10.1016/j.scs.2021.102709 |
Files
Pluchinotta Et Al. 2021 AAM
(1.6 Mb)
PDF
You might also like
Managing flood risk in Blue-Green Cities
(2024)
Book Chapter
Sponge City Program (SCP) and Urban Flood Management (UFM)—The Case of Guiyang, SW China
(2021)
Journal Article
Delivering multiple co-benefits in blue-green cities
(2021)
Report
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search