scholarly journals Air Quality and Key Variables in High-Density Housing

2021 ◽  
Vol 13 (8) ◽  
pp. 4281
Author(s):  
Beisi Jia ◽  
Sibei Liu ◽  
Michelle Ng

The high-rise and high-density housing development in nearby industry relocations is a general urban sprawl phenomenon in fast-growing cities in Southern China. Aside from the low price, the improved air quality in the suburban area is always a reason for home buyers, but the consistent monitoring of air quality and knowledge about how to plan housing estates are lacking. This paper investigates the relationship between the housing morphology and the air quality in three housing estates in Shenzhen. This research utilizes on-site monitoring equipment to examine negative air ions (NAIs) and fine particulate matter (PM2.5) and the Computational Fluid Dynamics (CFD) simulation to examine the air flow. This study reveals the effect of the urban form on the concentration of NAIs and PM2.5 in spatial variation. A correlation study between the configuration variables of the urban form and the CFD air flow pattern helps to identify the key variables influencing the air quality. This study concludes that in housing estates with good air quality of surroundings, the building density has no remarkable effect. However, the footprint of buildings, the layout of podiums, the roughness length of the building, the distance between buildings, the open space aspect ratio and the mean building height may have a remarkable impact on the air flow and quality. These findings may encourage high-density housing development and provide planning guidance for the configuration of housing forms in Southern China and subtropical climate regions around the world.

2021 ◽  
Author(s):  
◽  
Llewelyn Griffiths

<p>In this thesis, perceived space is investigated in a high density architectural context. Understanding how to optimize the subjective space is an opportunity to provide perceptually informed high density architecture. The aims of this thesis are to (1) develop an understanding of the perceived space by establishing optimizable parameters of a volume, (2) form a research through design methodology utilizing virtual reality experimentation, and (3) to apply the research to provide perceptually informed architecture which increases the perceived spaciousness and size of a dwelling. Virtual Reality (VR) improves an understanding of the perceived space compared to conventional design technologies. Firstly, a virtual experiment defined the optimum high-density apartment parameters with the key variables of perceived spaciousness, liveability, and size. During the VR experiments it was discovered that ceiling height and average room width determined separate responses to the perceived space. These were, ceiling height altering the perceived size and average room width altering the perceived spaciousness. Secondly, a VR methodology was utilized to test and resolve the complex issue of perceived space which requires implementation of architectural principles. The defined optimum parameters of room height and width alongside the literature provided the architectural principles to produce optimum perceived spaciousness, size and liveability. The principles include, perceptual overlap, extending line of sight, and primary and secondary zones. Thirdly, design evaluation explored architectural interventions using VR to illustrate the subjective space. I draw on research in design, virtual reality and psychology to develop a methodology that can sufficiently resolve the issues presented by this thesis. The paper argues that to design high-density housing for occupants, architects must have an understanding of perceived space. This has the potential to be achieved with the adoption of my thesis methodology.</p>


2021 ◽  
Author(s):  
◽  
Llewelyn Griffiths

<p>In this thesis, perceived space is investigated in a high density architectural context. Understanding how to optimize the subjective space is an opportunity to provide perceptually informed high density architecture. The aims of this thesis are to (1) develop an understanding of the perceived space by establishing optimizable parameters of a volume, (2) form a research through design methodology utilizing virtual reality experimentation, and (3) to apply the research to provide perceptually informed architecture which increases the perceived spaciousness and size of a dwelling. Virtual Reality (VR) improves an understanding of the perceived space compared to conventional design technologies. Firstly, a virtual experiment defined the optimum high-density apartment parameters with the key variables of perceived spaciousness, liveability, and size. During the VR experiments it was discovered that ceiling height and average room width determined separate responses to the perceived space. These were, ceiling height altering the perceived size and average room width altering the perceived spaciousness. Secondly, a VR methodology was utilized to test and resolve the complex issue of perceived space which requires implementation of architectural principles. The defined optimum parameters of room height and width alongside the literature provided the architectural principles to produce optimum perceived spaciousness, size and liveability. The principles include, perceptual overlap, extending line of sight, and primary and secondary zones. Thirdly, design evaluation explored architectural interventions using VR to illustrate the subjective space. I draw on research in design, virtual reality and psychology to develop a methodology that can sufficiently resolve the issues presented by this thesis. The paper argues that to design high-density housing for occupants, architects must have an understanding of perceived space. This has the potential to be achieved with the adoption of my thesis methodology.</p>


2015 ◽  
Vol 139 ◽  
pp. 168-179 ◽  
Author(s):  
Joshua McCarty ◽  
Nikhil Kaza

Author(s):  
Yanchuan Mou ◽  
Yan Song ◽  
Qing Xu ◽  
Qingsong He ◽  
Ang Hu

Air pollution in China is a serious problem and an inevitable threat to human health. This study evaluated the relationship between air quality and urban growth pattern in China by conducting empirical research involving 338 prefecture-level and above cities. Spatial regression techniques considering spatial autocorrelation were applied to correct the calculation bias. To obtain local and accurate results, a conception of eight economic zones was adopted to delineate cities into different groups and to estimate regression separately. An additional six urban form and socioeconomic indicators served as controlling variables. Significant and positive relationships between the aggregated urban growth pattern index and air pollution were observed in Northeast China, northern coastal China, and Northwest China, indicating that a high degree of urban aggregation is associated with poor air quality. However, a negative parameter was obtained in southern coastal China, showing an opposite association on urban aggregation and air quality. Nonsignificant connections among the other four zones were found. The findings also highlighted that land use mix, population density, and city size exerted varied and significant influence on air quality across eight economic zones. Overall, this study indicated that understanding the quantitative relationships between urban forms and air quality can provide policymakers with alternative ways to improve air quality in rapidly developing China.


Sign in / Sign up

Export Citation Format

Share Document