Globally, the 54% of the world’s population reside in urban areas, and in 2050 the projections are of 66%. Then the sustainability and livability of urban spaces are rising the attention of the scientific community. Particularly, in this work, the microclimate of outdoor spaces is investigated considering the different outdoor air temperatures registered by various weather stations in the city of Turin (Italy). The air temperature variations were correlated with the characteristics of the different spaces as the built urban morphology, the solar exposure of urban spaces and the albedo coefficients of outdoor surfaces. Finally, with a multiple linear regression analysis, the air temperatures have been correlated with the urban variables to obtain a model for the prediction of the average monthly temperature in the city of Turin. This model will be used to understand the different microclimates in Turin but also to evaluate the most influential urban variables on the air temperature. Moreover, the resulted model could help urban planners to predict the microclimate in new districts as a function of the urban form and of the outdoor materials chosen.

Microclimate Models for a Sustainable and Liveable Urban Planning / Mutani, Guglielmina; Fiermonte, Francesco (URBAN AND LANDSCAPE PERSPECTIVES). - In: Topics and Methods for Urban and Landscape Design / Ingaramo, Roberta, Voghera, Angioletta (Eds.). - [s.l] : Springer, 2016. - ISBN 978-3-319-51534-2. - pp. 183-209 [10.1007/978-3-319-51535-9_11]

Microclimate Models for a Sustainable and Liveable Urban Planning

MUTANI, GUGLIELMINA;FIERMONTE, FRANCESCO
2016

Abstract

Globally, the 54% of the world’s population reside in urban areas, and in 2050 the projections are of 66%. Then the sustainability and livability of urban spaces are rising the attention of the scientific community. Particularly, in this work, the microclimate of outdoor spaces is investigated considering the different outdoor air temperatures registered by various weather stations in the city of Turin (Italy). The air temperature variations were correlated with the characteristics of the different spaces as the built urban morphology, the solar exposure of urban spaces and the albedo coefficients of outdoor surfaces. Finally, with a multiple linear regression analysis, the air temperatures have been correlated with the urban variables to obtain a model for the prediction of the average monthly temperature in the city of Turin. This model will be used to understand the different microclimates in Turin but also to evaluate the most influential urban variables on the air temperature. Moreover, the resulted model could help urban planners to predict the microclimate in new districts as a function of the urban form and of the outdoor materials chosen.
2016
978-3-319-51534-2
9783319515359
Topics and Methods for Urban and Landscape Design
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2669855