We develop a novel statistical decision-theoretic framework for urban design from an outdoor thermal comfort (OTC), social and economic perspectives. We combine those aspects into spatio-temporal risk measures which provide a compact representation of the overall quality of an urban design scenarios (UDS) set. We then formulate the selection of the optimal design as an optimization problem which is easy to solve and has a clear interpretation. To illustrate how our framework can be used in practice, we present a real-world study, which is based on a set of UDS that aim to improve the OTC of a specific site in Singapore. We show how our framework provides decision makers the flexibility to make choices relevant to their design objectives, leading to informed and interpretable design option selection.

中文翻译：

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气候信息和社会经济城市设计的决策支持工具

我们从室外热舒适度 (OTC)、社会和经济角度为城市设计开发了一种新颖的统计决策理论框架。我们将这些方面结合到时空风险度量中，这些度量提供了城市设计场景 (UDS) 集整体质量的紧凑表示。然后，我们将优化设计的选择表述为一个易于解决且具有明确解释的优化问题。为了说明我们的框架如何在实践中使用，我们提出了一项基于一组 UDS 的真实世界研究，旨在改善新加坡特定站点的 OTC。我们展示了我们的框架如何让决策者灵活地做出与其设计目标相关的选择，从而导致明智和可解释的设计选项选择。