Abstract Supervised Machine Learning (SML) has a proven track record in addressing the
complexities of urban studies. To enhance the accuracy and efficiency of current urban …

In this initial study of a research project, this paper seeks to understand the thermal
conditions in the cities of Lisbon and Munich, specifically focusing on Urban Heat Island …

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 …

More frequent and intense heat waves, especially in urban centers, represent a growing
challenge for urban designers and building planners. In the last five years, extensive …

In the context of dense urban environments and climate change, pedestrians' thermal
experience plays an increasingly significant role in people's health and well-being. In this …

The urban heat island (UHI) effect is a widely recognized phenomenon consisting of heat
accumulation by dense urban construction and human activities, resulting in higher …

Different spatial scales enable the analysis of thermophysiological conditions of pedestrians
in an urban environment. A higher resolution hotspot analysis was conceived using GIS …

Heat stress mitigation actions must be carefully planned in order to achieve effective
outcomes. By integrating urban planning guidelines with urban climate knowledge …

Systematic comparison of urban and rural air temperatures began over two centuries ago.
This work demonstrated that cities are warmer, on average, than their rural surroundings. A …

The investigation in this research scrutinizes the influence of spatial form factors on thermal
comfort along the Ganga riverfront trail during the spring season. Understanding how spatial …