4.7 Article

A participatory system dynamics model to investigate sustainable urban water management in Ebbsfleet Garden City

期刊

SUSTAINABLE CITIES AND SOCIETY
卷 67, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scs.2021.102709

关键词

System Dynamics; Ebbsfleet Garden City; Participatory Modelling; Sustainable Urban Water Management; Sustainability; Stakeholders

资金

  1. UK Engineering and Physical Sciences Research Council [EP/P004180/1, EP/P003982/1, EP/P004210/1, EP/P004318/1, EP/P004431/1, EP/R511699/1]
  2. EPSRC [EP/P004318/1, EP/P004431/1, EP/P004180/1, EP/K013661/1] Funding Source: UKRI

向作者/读者索取更多资源

Urban water management faces challenges from growing urban populations, changes in rainfall patterns, and ageing infrastructure, requiring research into how cities can adapt to uncertain futures. Collaborative development of a System Dynamics Model can enhance stakeholders' understanding of future UWM options and facilitate exploration of interdependencies within the current system.
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.

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