Impact of Urban Morphology Parameters on Microclimate

Wei, Ruihan; Song, Dexuan; Wong, Nyuk Hien; Martin, Miguel

doi:10.1016/j.proeng.2016.10.017

Cited by 68 publications

(30 citation statements)

References 7 publications

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“…GIS-based methodology to evaluate green roofs and green urban areas 9 [4][5][6][7][8][9][10][11][12] Outdoor thermal comfort: UHI mitigation strategies and thermal comfort indexes 20 [2,4,[13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30] Energy savings and Indoor thermal comfort from Green roofs 5 [1,[31][32][33][34] 2.…”

Section: No Of Papers Sourcementioning

confidence: 99%

The Effects of Green Roofs on Outdoor Thermal Comfort, Urban Heat Island Mitigation and Energy Savings

Mutani

Todeschi

2020

Atmosphere

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There is growing attention to the use of greenery in urban areas, in various forms and functions, as an instrument to reduce the impact of human activities on the urban environment. The aim of this study has been to investigate the use of green roofs as a strategy to reduce the urban heat island effect and to improve the thermal comfort of indoor and outdoor environments. The effects of the built-up environment, the presence of vegetation and green roofs, and the urban morphology of the city of Turin (Italy) have been assessed considering the land surface temperature distribution. This analysis has considered all the information recorded by the local weather stations and satellite images, and compares it with the geometrical and typological characteristics of the city in order to find correlations that confirm that greenery and vegetation improve the livability of an urban context. The results demonstrate that the land-surface temperature, and therefore the air temperature, tend to decrease as the green areas increase. This trend depends on the type of urban context. Based on the results of a green-roofs investigation of Turin, the existing and potential green roofs are respectively almost 300 (257,380 m2) and 15,450 (6,787,929 m2). Based on potential assessment, a strategy of priority was established according to the characteristics of building, to the presence of empty spaces, and to the identification of critical areas, in which the thermal comfort conditions are poor with low vegetation. This approach can be useful to help stakeholders, urban planners, and policy makers to effectively mitigate the urban heat island (UHI), improve the livability of the city, reduce greenhouse gas (GHG) emissions and gain thermal comfort conditions, and to identify policies and incentives to promote green roofs.

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Section: No Of Papers Sourcementioning

confidence: 99%

The Effects of Green Roofs on Outdoor Thermal Comfort, Urban Heat Island Mitigation and Energy Savings

Mutani

Todeschi

2020

Atmosphere

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“…Morphological studies at the regional level are prevalent, especially on an urban scale, for example, Fadhilah et al (2013), Tallo et al (2014), Wei et al (2016), Wijaya (2017), Yan and Chen (2018), Mathewson (2018), McCartney and Krishnamurthy (2018), Sitompul and Roychansyah (2018), and Jones (2019). Overall, the studies in this field that have been carried out over the last ten years focused mostly on urban areas, such as the study conducted by Fadhilah et al (2013), who studied the morphology of Kampung Kalengan in Bugangan Village, Semarang City through two aspects: firstly, a physical study that included courtyards/fields and road space, and secondly, a non-physical study covering socio-economic aspects.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the abovementioned morphological studies, both at the scale of the house and the region, were qualitative researches using descriptive methods. An exception is Wei et al (2016), which was motivated by the process of urbanization that affects the climate and the urban environment, and is a quantitative research through parametric studies related to the impact of urban morphological parameters on microclimate, namely the temperature and temperature of the average radiation. Wei (2016) recommends providing a suitable range of parameters that are beneficial for pedestrian comfort in urban areas.…”

Section: Introductionmentioning

confidence: 99%

“…An exception is Wei et al (2016), which was motivated by the process of urbanization that affects the climate and the urban environment, and is a quantitative research through parametric studies related to the impact of urban morphological parameters on microclimate, namely the temperature and temperature of the average radiation. Wei (2016) recommends providing a suitable range of parameters that are beneficial for pedestrian comfort in urban areas. Yan and Chen (2018) used a combination of qualitative and quantitative approaches in uncovering the spatial transformation of Daxi Village in Anji, Zhejiang, covering physical, economic and social transformation.…”

Section: Introductionmentioning

confidence: 99%

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Morphology of Residential Environment of Singengu Village in Mandailing Julu, North Sumatra

Nuraini

2019

jrcp

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This study aimed to determine the morphology of the residential environment of Singengu Village in Mandailing Julu between 1880 and 2019. This time frame was taken because primary data that available were refer to that range of years. This research is an interpretive historical research that narratively constructs the morphology of the residential environment in Singengu Village through four sources: archives, documents, evidence from the location, and explanations from interviewees/eyewitnesses. The result showed that the morphological component of Singengu Village's residential environment includes three main aspects, namely: land-use pattern, building layout, and the road network. The roads in Singengu Village's residential environment are quite unique because they were formed after the construction of the residential area and not vice versa. Aspects of the land use and urban design patterns have a typical Mandailing character because they are consistent with the local concept of bincar-bonom. Abstrak. Penelitian ini bertujuan untuk menentukan morfologi lingkungan perumahan di DesaSingengu di Mandailing Julu antara tahun 1880 dan 2019. Kerangka waktu ini diambil karena data primer yang tersedia merujuk pada rentang tahun tersebut. Penelitian ini adalah penelitian sejarah interpretatif yang secara naratif membangun morfologi lingkungan perumahan di Desa Singengu melalui empat sumber: arsip, dokumen, bukti dari lokasi, dan penjelasan dari narasumber/saksi mata. Hasil penelitian menunjukkan bahwa komponen morfologis lingkungan perumahan Desa Singengu meliputi tiga aspek utama, yaitu: pola penggunaan lahan, tata letak bangunan, dan jaringan jalan. Jalan-jalan di lingkungan perumahan Desa Singengu cukup unik karena terbentuk setelah pembangunan daerah perumahan dan bukan sebaliknya. Aspek penggunaan lahan dan pola desain perkotaan memiliki karakter Mandailing yang khas karena konsisten dengan konsep lokal bincar-bonom. Kata kunci. Morfologi, lingkungan perumahan, penggunaan lahan, tata letak bangunan, bincar-bonom.

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“…It is an important parameter in urban climate research [2][3][4][5] and urban planning practices [6][7][8]. A significant relationship was found between SVF and urban heat islands at a local scale [9].…”

Section: Introductionmentioning

confidence: 99%

Automatic Sky View Factor Estimation from Street View Photographs—A Big Data Approach

et al. 2017

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Hemispherical (fisheye) photography is a well-established approach for estimating the sky view factor (SVF). High-resolution urban models from LiDAR and oblique airborne photogrammetry can provide continuous SVF estimates over a large urban area, but such data are not always available and are difficult to acquire. Street view panoramas have become widely available in urban areas worldwide: Google Street View (GSV) maintains a global network of panoramas excluding China and several other countries; Baidu Street View (BSV) and Tencent Street View (TSV) focus their panorama acquisition efforts within China, and have covered hundreds of cities therein. In this paper, we approach this issue from a big data perspective by presenting and validating a method for automatic estimation of SVF from massive amounts of street view photographs. Comparisons were made with SVF estimates derived from two independent sources: a LiDAR-based Digital Surface Model (DSM) and an oblique airborne photogrammetry-based 3D city model (OAP3D), resulting in a correlation coefficient of 0.863 and 0.987, respectively. The comparisons demonstrated the capacity of the proposed method to provide reliable SVF estimates. Additionally, we present an application of the proposed method with about 12,000 GSV panoramas to characterize the spatial distribution of SVF over Manhattan Island in New York City. Although this is a proof-of-concept study, it has shown the potential of the proposed approach to assist urban climate and urban planning research. However, further development is needed before this approach can be finally delivered to the urban climate and urban planning communities for practical applications.

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Impact of Urban Morphology Parameters on Microclimate

Cited by 68 publications

References 7 publications

The Effects of Green Roofs on Outdoor Thermal Comfort, Urban Heat Island Mitigation and Energy Savings

The Effects of Green Roofs on Outdoor Thermal Comfort, Urban Heat Island Mitigation and Energy Savings

Morphology of Residential Environment of Singengu Village in Mandailing Julu, North Sumatra

Automatic Sky View Factor Estimation from Street View Photographs—A Big Data Approach

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