Developing a 3D City Digital Twin: Enhancing Walkability through a Green Pedestrian Network (GPN) in the City of Imola, Italy
Predominantly, dense historical cities face insufficient pedestrian-level greenery in the urban spaces. The lack of greenery impacts the human thermal comfort on the walking paths, which contributes to a considerable reduction in pedestrian flow rate. This study aims at developing a model to assess...
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MDPI AG
2022-10-01
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author | Mansoureh Gholami Daniele Torreggiani Patrizia Tassinari Alberto Barbaresi |
author_facet | Mansoureh Gholami Daniele Torreggiani Patrizia Tassinari Alberto Barbaresi |
author_sort | Mansoureh Gholami |
collection | DOAJ |
description | Predominantly, dense historical cities face insufficient pedestrian-level greenery in the urban spaces. The lack of greenery impacts the human thermal comfort on the walking paths, which contributes to a considerable reduction in pedestrian flow rate. This study aims at developing a model to assess pedestrian-level thermal comfort in city environments and then evaluate the feasibility of creating a green pedestrian network (GPN). Imola, as a historical city in Italy with a compact urban pattern, is selected as the case study of this paper. To accomplish this, a three-dimensional digital twin at city scale is developed for the recognition of real-time shade patterns and for designing a GPN in this city. The 3D model of the proposed digital twin is developed in the Rhinoceros platform, and the physiological equivalence temperature (PET) is simulated through EnergyPlus, Honeybee, and Ladybug components in grasshopper. This study provides the city with a digital twin that is capable of examining pedestrian-level thermal comfort for designing a GPN based on real-time PET in the compact urban morphology of Imola. The PET model indicates that during the hottest hour of the 25th of June, pedestrians in open spaces can experience 3 °C more than on narrow shaded streets. The results are validated based on in situ datasets that prove the reliability of the developed digital twin for the GPN. It provides urban planners and policy makers with a precise and useful methodology for simulating the effects of pedestrian-level urban greenery on human thermal comfort and also guarantees the functionality of policies in different urban settings. |
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issn | 2073-445X |
language | English |
last_indexed | 2024-03-09T18:55:45Z |
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spelling | doaj.art-6630f4d41e8b450cab05d045cd0e43af2023-11-24T05:27:32ZengMDPI AGLand2073-445X2022-10-011111191710.3390/land11111917Developing a 3D City Digital Twin: Enhancing Walkability through a Green Pedestrian Network (GPN) in the City of Imola, ItalyMansoureh Gholami0Daniele Torreggiani1Patrizia Tassinari2Alberto Barbaresi3Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 48, 40127 Bologna, ItalyDepartment of Agricultural and Food Sciences, University of Bologna, Viale Fanin 48, 40127 Bologna, ItalyDepartment of Agricultural and Food Sciences, University of Bologna, Viale Fanin 48, 40127 Bologna, ItalyDepartment of Agricultural and Food Sciences, University of Bologna, Viale Fanin 48, 40127 Bologna, ItalyPredominantly, dense historical cities face insufficient pedestrian-level greenery in the urban spaces. The lack of greenery impacts the human thermal comfort on the walking paths, which contributes to a considerable reduction in pedestrian flow rate. This study aims at developing a model to assess pedestrian-level thermal comfort in city environments and then evaluate the feasibility of creating a green pedestrian network (GPN). Imola, as a historical city in Italy with a compact urban pattern, is selected as the case study of this paper. To accomplish this, a three-dimensional digital twin at city scale is developed for the recognition of real-time shade patterns and for designing a GPN in this city. The 3D model of the proposed digital twin is developed in the Rhinoceros platform, and the physiological equivalence temperature (PET) is simulated through EnergyPlus, Honeybee, and Ladybug components in grasshopper. This study provides the city with a digital twin that is capable of examining pedestrian-level thermal comfort for designing a GPN based on real-time PET in the compact urban morphology of Imola. The PET model indicates that during the hottest hour of the 25th of June, pedestrians in open spaces can experience 3 °C more than on narrow shaded streets. The results are validated based on in situ datasets that prove the reliability of the developed digital twin for the GPN. It provides urban planners and policy makers with a precise and useful methodology for simulating the effects of pedestrian-level urban greenery on human thermal comfort and also guarantees the functionality of policies in different urban settings.https://www.mdpi.com/2073-445X/11/11/1917street-level greeneryoutdoor thermal comfortdigital twingreen pedestrian networkphysiological equivalence temperature (PET) |
spellingShingle | Mansoureh Gholami Daniele Torreggiani Patrizia Tassinari Alberto Barbaresi Developing a 3D City Digital Twin: Enhancing Walkability through a Green Pedestrian Network (GPN) in the City of Imola, Italy Land street-level greenery outdoor thermal comfort digital twin green pedestrian network physiological equivalence temperature (PET) |
title | Developing a 3D City Digital Twin: Enhancing Walkability through a Green Pedestrian Network (GPN) in the City of Imola, Italy |
title_full | Developing a 3D City Digital Twin: Enhancing Walkability through a Green Pedestrian Network (GPN) in the City of Imola, Italy |
title_fullStr | Developing a 3D City Digital Twin: Enhancing Walkability through a Green Pedestrian Network (GPN) in the City of Imola, Italy |
title_full_unstemmed | Developing a 3D City Digital Twin: Enhancing Walkability through a Green Pedestrian Network (GPN) in the City of Imola, Italy |
title_short | Developing a 3D City Digital Twin: Enhancing Walkability through a Green Pedestrian Network (GPN) in the City of Imola, Italy |
title_sort | developing a 3d city digital twin enhancing walkability through a green pedestrian network gpn in the city of imola italy |
topic | street-level greenery outdoor thermal comfort digital twin green pedestrian network physiological equivalence temperature (PET) |
url | https://www.mdpi.com/2073-445X/11/11/1917 |
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