Maximizing the Thermal Comfort of Pedestrians with UAV Imagery and Multiobjective Spatial Optimization
Maximizing the Thermal Comfort of Pedestrians with UAV Imagery and Multiobjective Spatial Optimization
- Neue Suche nach: Grubesic, Tony H.
- Neue Suche nach: Nelson, Jake R.
- Neue Suche nach: Wei, Ran
- Neue Suche nach: Grubesic, Tony H.
- Neue Suche nach: Nelson, Jake R.
- Neue Suche nach: Wei, Ran
This chapter explores the application of Unmanned Aerial Vehicle (UAV) imagery for identifying shaded paths, which can be valuable for urban planning, environmental conservation, and outdoor recreation. Shaded paths offer numerous benefits, such as reducing heat exposure in microclimates and enhancing the overall thermal comfort and quality of outdoor experiences. UAVs offer a unique opportunity for capturing high-resolution imagery to identify shaded areas in urban and suburban environments. This chapter introduces an approach to identify paths with optimal pedestrian shading availability by integrating UAV imagery, terrestrial street and sidewalk networks, and a multiobjective spatial optimization model.
Dokumentinformationen
Maximizing the Thermal Comfort of Pedestrians with UAV Imagery and Multiobjective Spatial Optimization
UAVs for Spatial Modelling and Urban Informatics ; Kapitel : 5 ; 73-88
2024-03-07
16 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Urban heat islands , Thermal comfort , Pedestrians , Heat exposure , Microclimates , Outdoor recreation , Sun , Extreme heat , Shade , Solar irradiance , Spatial optimization , Shortest path , Coolest path , Sustainability , Sunbelt , Texas Computer Science , Computer Applications , Geography, general , Health Informatics , Earth and Environmental Science
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