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A Street Graph-Based Morphometric Characterization of Two Large Urban Areas

Author

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  • Luca Salvadori

    (Department of Civil-Environmental Engineering and Architecture (DICAAR), University of Cagliari, 09123 Cagliari, Italy)

  • Maria Grazia Badas

    (Department of Civil-Environmental Engineering and Architecture (DICAAR), University of Cagliari, 09123 Cagliari, Italy)

  • Annalisa Di Bernardino

    (Physics Department, Sapienza University, 00185 Rome, Italy)

  • Giorgio Querzoli

    (Department of Civil-Environmental Engineering and Architecture (DICAAR), University of Cagliari, 09123 Cagliari, Italy)

  • Simone Ferrari

    (Department of Civil-Environmental Engineering and Architecture (DICAAR), University of Cagliari, 09123 Cagliari, Italy)

Abstract

Urban microclimate modelling, both numerical and in the laboratory, has strong implications in many relevant health and life-style management issues e.g., in studies for assessment and forecast of air quality (for both outdoor and, as boundary conditions, indoor investigations), for thermometric trend analysis in urban zones, in cultural heritage preservation, etc. Moreover, the study of urban microclimate modelling is largely promoted and encouraged by international institutions for its implication in human health protection. In the present work, we propose and discuss an adaptive street graph-based method aimed at automatically computing the geometrical parameters adopted in atmospheric turbulent flow modelling. This method has been applied to two real cases, the Italian cities of Rome and Cagliari, and its results has been compared with the ones from traditional methods based on regular grids. Results show that the proposed method leads to a more accurate determination of the urban canyon parameters (Canyon Aspect Ratio and Building Aspect Ratio) and morphometric parameters (Planar Area Index and Frontal Area Index) compared to traditional regular grid-based methods, at least for the tested cases. Further investigations on a larger number of different urban contexts are planned to thoroughly test and validate the proposed algorithm.

Suggested Citation

  • Luca Salvadori & Maria Grazia Badas & Annalisa Di Bernardino & Giorgio Querzoli & Simone Ferrari, 2021. "A Street Graph-Based Morphometric Characterization of Two Large Urban Areas," Sustainability, MDPI, vol. 13(3), pages 1-22, January.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1025-:d:483614
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    References listed on IDEAS

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    1. Giovanni M. Chiri & Maddalena Achenza & Anselmo Canì & Leonardo Neves & Luca Tendas & Simone Ferrari, 2020. "The Microclimate Design Process in Current African Development: The UEM Campus in Maputo, Mozambique," Energies, MDPI, vol. 13(9), pages 1-22, May.
    2. Armando Pelliccioni & Paolo Monti & Giorgio Cattani & Fabio Boccuni & Marco Cacciani & Silvia Canepari & Pasquale Capone & Maria Catrambone & Mariacarmela Cusano & Maria Concetta D’Ovidio & Antonella , 2020. "Integrated Evaluation of Indoor Particulate Exposure: The VIEPI Project," Sustainability, MDPI, vol. 12(22), pages 1-25, November.
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    Cited by:

    1. Luca Salvadori & Annalisa Di Bernardino & Giorgio Querzoli & Simone Ferrari, 2021. "A Novel Automatic Method for the Urban Canyon Parametrization Needed by Turbulence Numerical Simulations for Wind Energy Potential Assessment," Energies, MDPI, vol. 14(16), pages 1-22, August.

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