Current spatial planning methods are often technocratic, slow, fail to use the right kind of evidence or do not involve (all) the actors needed to create support and consensus. We present a method that facilitates the use of evidence (data) in participatory spatial planning processes, resulting in a joint understanding of the most important causalities, as a means to build capacity across actors. QUICKScan is a participatory modeling method that links stakeholder- and decision maker knowledge and preferences to available spatial and spatio-statistical data, and is designed for group use in a multi-stakeholder workshop setting. We describe four urban QUICKScan applications, that vary in objective, scale and institutional setting. The most critical in organizing a QUICKScan session is to: (i) include crucial participants in a single plenary workshop (decision maker, local data expert, and local thematic experts), (ii) create an open atmosphere in which each and everyone's opinion is treated equally, (iii) dialogue is more important than an abundance of detailed spatial data, and (iv) start with simple modeling rules and iterate often while expanding the set of rules and trying out alternatives.

中文翻译：

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使用 QUICKScan 进行参与式建模以塑造可持续城市发展

当前的空间规划方法通常是技术官僚的、缓慢的、无法使用正确类型的证据或不涉及（所有）创建支持和共识所需的参与者。我们提出了一种方法，可以促进在参与式空间规划过程中使用证据（数据），从而共同了解最重要的因果关系，作为跨参与者能力建设的一种手段。QUICKScan 是一种参与式建模方法，它将利益相关者和决策者的知识和偏好与可用的空间和空间统计数据联系起来，专为在多利益相关者研讨会设置中的小组使用而设计。我们描述了四个城市 QUICKScan 应用程序，它们在目标、规模和机构设置方面各不相同。组织 QUICKScan 会话最关键的是：