@article{discovery10186820,
       publisher = {Elsevier BV},
          volume = {353},
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           month = {February},
            year = {2024},
           title = {Co-producing knowledge on the use of urban natural space: Participatory system dynamics modelling to understand a complex urban system},
         journal = {Journal of Environmental Management},
        abstract = {Decision-makers are increasingly asked to act differently in how they respond to complex urban challenges, recognising the value in bringing together and integrating cross-disciplinary, cross-sectoral knowledge to generate effective solutions. Participatory modelling allows to bring stakeholders together, enhance knowledge and understanding of a system, and identify the impacts of interventions to a given problem. This paper uses an interdisciplinary and systems approach to investigate a complex urban problem, using a participatory System Dynamics modelling process as an approach to facilitate learning and co-produce knowledge on the factors influencing the use of urban natural space. Stakeholders used a Systems Dynamics model and interface, as a tool to collectively identify pathways for improving the use of space and simulating their impacts. Under the lens of knowledge co-production, the paper reflects how such mechanisms can lead to the co-production of knowledge and social learning. The findings also contribute to identify ways of increasing the value of urban natural space focusing on urban areas undergoing physical and social transformation, such as the Thamesmead case study, London, UK.},
             url = {http://dx.doi.org/10.1016/j.jenvman.2024.120110},
          author = {Pluchinotta, Irene and Zhou, Ke and Moore, Gemma and Salvia, Giuseppe and Belesova, Kristine and Mohajeri, Nahid and Hale, Joanna and Davies, Michael and Zimmermann, Nici},
        keywords = {Transdisciplinary, Stakeholders, Sustainability, Participatory system dynamics, Participatory modelling, Simulation, Social learning, Thamesmead}
}