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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.
摘要：
人们越来越要求决策者在应对复杂的城市挑战时采取不同的行动，认识到跨学科融合的价值，跨部门知识，以产生有效的解决方案。参与式建模允许将利益相关者聚集在一起，增强对系统的认识和理解，并确定干预措施对给定问题的影响。本文采用跨学科和系统的方法来研究一个复杂的城市问题，使用参与式系统动力学建模过程作为一种方法，以促进学习和共同产生有关影响城市自然空间使用的因素的知识。利益相关者使用了系统动力学模型和接口，作为一种工具，共同确定改善空间利用和模拟其影响的途径。在知识联合生产的镜头下，本文反映了这种机制如何导致知识和社会学习的共同产生。这些发现还有助于确定增加城市自然空间价值的方法，重点是正在经历自然和社会转型的城市地区，比如Thamesmead案例研究，伦敦,英国。
