To measure urban outdoor pedestrian thermophysiological comfort mobile roving missions were conducted in all seasons of the year during the day and at night. Six routes were chosen, representing areas of the city with varying urban morphological layouts. The thermal comfort conditions were analysed using the Local Climate Zone spatial scale. This enabled the identification of typologies of areas where pedestrians might feel (un)comfortable. To achieve the proposed objectives, quantitative and qualitative analysis were run, namely a Linear Mixed-Effect Model. This model was useful to understand the thermal behaviour of the roved areas by comparison to a reference area. The city was found to be generally cooler, except at night when it can have a 44% increased UTCI. Most collected values throughout the year had ‘no thermal stress’, except in the summer when ‘moderate’ and ‘strong heat stress’ was predominant. Compact and large low rise urban areas were found to be the most uncomfortable. Significant amplitudes were found in some LCZs, reaching as high as 7 °C in some scenarios. Sparsely wooded areas exhibited higher values in all seasons and at night, except in the summer. This showed that for a local heat stress analysis a higher resolution scale is needed.

中文翻译：

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里斯本季节性户外热生理舒适度评估的气候步行和线性混合模型统计

为了测量城市户外行人的热生理舒适度，我们在一年中所有季节的白天和夜间进行了移动漫游任务。选择了六条路线，代表具有不同城市形态布局的城市区域。使用当地气候区空间尺度分析热舒适条件。这使得能够识别行人可能感到（不）舒服的区域的类型。为了实现拟议的目标，进行了定量和定性分析，即线性混合效应模型。通过与参考区域进行比较，该模型有助于了解粗纱区域的热行为。研究发现，这座城市总体上比较凉爽，但夜间除外，此时 UTCI 会增加 44%。全年收集的大多数值都“没有热应激”，但夏季除外，“中度”和“强热应激”占主导地位。紧凑且大型低层城市地区被发现是最不舒服的。在一些 LCZ 中发现了显着的振幅，在某些情况下高达 7°C。除夏季外，树木稀疏的地区在所有季节和夜间都表现出较高的值。这表明对于局部热应力分析需要更高分辨率的尺度。