System Dynamics to capture perceptions and support decision making in Thamesmead
Team: Irene Pluchinotta, Giuseppe Salvia, Nici Zimmermann
Partners: Marsh Dykes and Thamesmead catchment partnership, Thames 21, London Wild Trust, Environmental Agency, GLA, Peabody, Thames Water, The Young Foundation, Clever Cities project in the GLA, and CUSSH project
Objectives: A Participatory System Dynamics approach to identify and bring together stakeholders, to map their perception of the blue/green/built infrastructure, and to model and analyse systemic interventions which would address those problems leading to effective sustainable decisions.
Qualitative modelling phase:
Nov./Dec. 2019 - Problem Scoping Interviews;
Jan. 2020 -1ST stakeholders workshop on problem scoping aimed at defining the shared concern “to sustain and increase the quality of Built, Blue and Green environment to ensure long term stewardship in Thamesmead”;
Mar./June 2020 - (set of) Sub-group modelling workshops to build different causal maps (Causal Loop Diagrams, CLDs) around the shared concern;
July 2020 - 3rd stakeholders workshop aimed at presenting the results of the qualitative modelling phase, recognizing the differences and similarities in the perceptions of system boundaries, developing a joint understanding between different stakeholder groups and agreeing on the focus of the System Dynamics model;
From Autumn 2020, the System Dynamics quantitative modelling phase will be carried out via workshops and interviews.
From May 2020 we also addressed Thamesmead residents directly to bring their vision into the System Dynamics modelling process. The multichannel strategy exploring life in Thamesmead consisted of one-to-one interviews, social media recruitment, a short online survey and a literature analysis around the shared concern theme.
Causal models representing diverse and shared stakeholder perceptions of the complex system in Thamesmead as well as a targeted and integrated System Dynamics model, able to provide an analysis of systemic interventions