Neighborhood-scale sky view factor variations with building density and height: A simulation approach and case study of Boston

Mirzaee, Sahar; Özgün, Onur; Rüth, Matthias; Binita, K.C.

doi:10.1016/j.uclim.2018.08.012

Cited by 27 publications

(13 citation statements)

References 41 publications

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“…The built-up area density parameter significantly influences the solar exposure of the housing estate [ 241 ]. As the built-up area density increases, the average SVF decreases [ 308 ]. A similar relationship occurs for the building’s volume [ 130 ], but it has a more substantial effect in already densely built-up areas [ 240 ].…”

Section: Discussion and Urban Design Strategy Recommendationsmentioning

confidence: 99%

“…The average building height significantly affects the ambient temperature [ 157 , 197 ] and wind patterns [ 203 , 241 ]. It also determines the shading value in densely populated urban areas [ 298 , 301 , 308 ]. Therefore, greater building heights indicate a lower AT and a better outdoor comfort level [ 217 , 302 ].…”

Section: Discussion and Urban Design Strategy Recommendationsmentioning

confidence: 99%

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The Future of Climate-Resilient and Climate-Neutral City in the Temperate Climate Zone

Antoszewski

Krzyżaniak

Świerk

2022

IJERPH

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The urban heat island (UHI) effect is the main problem regarding a city’s climate. It is the main adverse effect of urbanization and negatively affects human thermal comfort levels as defined by physiological equivalent temperature (PET) in the urban environment. Blue and green infrastructure (BGI) solutions may mitigate the UHI effect. First, however, it is necessary to understand the problem from the degrading side. The subject of this review is to identify the most essential geometrical, morphological, and topographical parameters of the urbanized environment (UE) and to understand the synergistic relationships between city and nature. A four-stage normative procedure was used, appropriate for systematic reviews of the UHI. First, one climate zone (temperate climate zone C) was limited to unify the design guidelines. As a result of delimitation, 313 scientific articles were obtained (546 rejected). Second, the canonical correlation analysis (CCA) was performed for the obtained data. Finally, our research showed the parameters of the UE facilities, which are necessary to mitigate the UHI effect. Those are building density and urban surface albedo for neighborhood cluster (NH), and distance from the city center, aspect ratio, ground surface albedo, and street orientation for street canyon (SC), as well as building height, material albedo, and building orientation for the building structure (BU). The developed guidelines can form the basis for microclimate design in a temperate climate. The data obtained from the statistical analysis will be used to create the blue-green infrastructure (BGI) dynamic modeling algorithm, which is the main focus of the future series of articles.

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Section: Discussion and Urban Design Strategy Recommendationsmentioning

confidence: 99%

Section: Discussion and Urban Design Strategy Recommendationsmentioning

confidence: 99%

The Future of Climate-Resilient and Climate-Neutral City in the Temperate Climate Zone

Antoszewski

Krzyżaniak

Świerk

2022

IJERPH

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“…Urban density can be quantified using specific indicators such as the building coverage ratio, building FAR, and sky view factor (SVF), all of which are coupled to building energy consumption. The SVF can reveal how the building density and height change the urban environment through solar radiation attenuation and shading [37], thus affecting the heat island and energy consumption [38].…”

Section: Introductionmentioning

confidence: 99%

Identifying key determinants for building energy analysis from urban building datasets

Ying

et al. 2020

Building and Environment

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Urban and building morphologies, usually determined at the design stage, have been proven as important determinants of energy usage at later operational stages.However, questions remain regarding the identification of the key determinants that influence urban building energy usage. To address this, in this study, an urban building dataset of 539 residential buildings and 153 public buildings was used to extract the building morphology factors as the determinants. A principal component analysis was performed to identify the key determinants for three buildings groups-residential buildings, residential blocks, and public buildings. The results show that the key determinants for residential buildings are their orientation, ratio of obstruction height to the canyon width from the south and west directions, shape coefficient, perimeterto-area ratio, and building aspect ratio. The key determinants for public buildings are similar to those for residential buildings with the exception of the ratio of the obstruction height to the canyon width from the south direction. The key determinants for residential blocks are the ratio of the obstruction height to the canyon width from the south and west directions, mass space proportion, building aspect ratio, and floor area ratio. The findings of this study provide insights into the key drivers of urban

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“…They compared the SVF estimates with those from the street view panoramas and found the SVF estimates obtained using both methods closely match each other with correlation coefficient of 0.99. Mirzaee et al [22] proposed a new algorithm to calculate average SVFs of hypothetical neighborhoods based on using two geometric characteristics: building density of the area and average height of the buildings. This method is fast, simple, and free of 3-dimentional shapefiles of the area [22].…”

Section: Introductionmentioning

confidence: 99%

“…Mirzaee et al [22] proposed a new algorithm to calculate average SVFs of hypothetical neighborhoods based on using two geometric characteristics: building density of the area and average height of the buildings. This method is fast, simple, and free of 3-dimentional shapefiles of the area [22]. It should be noted the effects of plantation and inclined surfaces in the aforementioned methods are not considered or discussed thoroughly [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Sky View Factor on Air temperature in High-rise Urban Residential Environments

Baghaeipoor

Nasrollahi

2019

Journal of Daylighting

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Urban geometry is defined by the height, length, width, and distance of buildings, which affect the urban environment and its microclimate, especially a high-rise and high-density urban environment, such as Tehran. In this regard, the Sky View Factor (SVF) may often be a desirable criterion in identifying the interaction between urban geometry and the air temperature in densely populated areas. The research aim was to investigate the SVF in an urban microclimate of a high-rise residential complex and to evaluate its effect on air temperature. To do so, a case study of the Atisaz in Tehran as a high-rise urban residential complex was selected as the fundamental study model of this research. The selected configuration was simulated and analyzed using the ENVI-met model. In addition, the effects of the SVF value on air temperature are discussed throughout this paper. SPSS software was used to correlate, analyze, and construct an accurate relationship between air temperature and SVF during the hottest and coldest days of the year. The obtained results showed that there is a direct relation between SVF and air temperature during the day as well as an inverse relation at night. Furthermore, there was a small difference in air temperature for dense and semi-dense spaces in the high-rise residential complex.

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Neighborhood-scale sky view factor variations with building density and height: A simulation approach and case study of Boston

Cited by 27 publications

References 41 publications

The Future of Climate-Resilient and Climate-Neutral City in the Temperate Climate Zone

The Future of Climate-Resilient and Climate-Neutral City in the Temperate Climate Zone

Identifying key determinants for building energy analysis from urban building datasets

The Effect of Sky View Factor on Air temperature in High-rise Urban Residential Environments

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