Print Email Facebook Twitter A Quantitative Morphological Method for Mapping Local Climate Types Title A Quantitative Morphological Method for Mapping Local Climate Types Author Maiullari, D. (TU Delft Environmental Technology and Design) van Esch, M.M.E. (TU Delft Environmental Technology and Design) van Timmeren, A. (TU Delft Environmental Technology and Design) Date 2021 Abstract Morphological characteristics of cities significantly influence urban heat island intensities and thermal responses to heat waves. Form attributes such as density, compactness, and vegetation cover are commonly used to analyse the impact of urban morphology on overheating processes. However, the use of abstract large-scale classifications hinders a full understanding of the thermal trade-off between single buildings and their immediate surrounding microclimate. Without analytical tools able to capture the complexity of cities with a high resolution, the microspatial dimension of urban climate phenomena cannot be properly addressed. Therefore, this study develops a new method for numerical identification of types, based on geometrical characteristics of buildings and climate-related form attributes of their surroundings in a 25m and 50m radius. The method, applied to the city of Rotterdam, combines quantitative descriptors of urban form, mapping GIS procedures, and clustering techniques. The resulting typo-morphological classification is assessed by modelling temperature, wind, and humidity during a hot summer period, in ENVI-met. Significant correlations are found between the morphotypes’ characteristics and local climate phenomena, highlighting the differences in performative potential between the classified urban patterns. The study suggests that the method can be used to provide insight into the systemic relations between buildings, their context, and the risk of overheating in different urban settings. Finally, the study highlights the relevance of advanced mapping and modelling tools to inform spatial planning and mitigation strategies to reduce the risk of urban overheating. Subject Data‐driven classificationMicroclimateTypologiesUrban morphology To reference this document use: http://resolver.tudelft.nl/uuid:4b50b336-23b4-4dc9-954c-55d23f1f1139 DOI https://doi.org/10.17645/up.v6i3.4223 ISSN 2183-7635 Source Urban Planning, 6 (3), 240-257 Part of collection Institutional Repository Document type journal article Rights © 2021 D. Maiullari, M.M.E. van Esch, A. van Timmeren Files PDF UP_6_3_A_Quantitative_Mor ... _Types.pdf 2.18 MB Close viewer /islandora/object/uuid:4b50b336-23b4-4dc9-954c-55d23f1f1139/datastream/OBJ/view