共同生产城市自然空间利用知识:参与式系统动态建模以了解复杂的城市系统
Irene Pluchinotta1, Ke Zhou1, Gemma Moore1
1Institute for Environmental Design and Engineering, The Bartlett Faculty of the Built Environment, University College London, London, United Kingdom.
Journal of environmental management
|February 7, 2024
概括
本研究使用参与式系统动力学建模来改善城市自然空间的利用. 它促进知识共产和社会学习,以有效解决城市挑战.
科学领域:
- 城市规划 城市规划
- 环境科学 环境科学
- 系统科学 系统科学
背景情况:
- 复杂的城市挑战需要综合,跨学科的解决方案.
- 参与式建模增强了系统理解和干预影响评估.
研究的目的:
- 通过跨学科,系统的方法来调查城市自然空间的使用.
- 采用参与式的系统动力学建模来实现知识共产和社会学习.
主要方法:
- 使用跨学科和系统方法.
- 与利益相关者一起采用参与式的系统动力学建模过程.
- 使用系统动态模型和接口进行集体路径识别和冲击模拟.
主要成果:
- 促进对影响城市自然空间使用的因素的学习和共同生产知识.
- 利益相关者共同确定了改善空间利用的途径.
- 模拟了特定干预措施对城市自然空间的影响.
结论:
- 参与式建模机制促进知识共产和社会学习.
- 结果为增加城市自然空间价值提供了见解,特别是在城市地区的转型中.
- 突出了英国伦敦的泰斯米德案例研究,作为物理和社会转型的例子.
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