TY - GEN
T1 - Investigating the Social Impacts of High-Density Neighbourhoods Through Spatial Analysis
AU - Soltani, Sahar
AU - Gu, Ning
AU - Paniagua, Jorge Ochoa
AU - Sivam, Alpana
AU - McGinley, Tim
N1 - Publisher Copyright:
© 2019, Springer Nature Singapore Pte Ltd.
PY - 2019
Y1 - 2019
N2 - Studies argue that higher density areas incur social problems such as lack of safety [1], while other studies provide evidence for the positive impact of high-density urban areas, for instance opportunities for social interactions and equal form of accessibility [2]. This paper argues that design factors can mediate the impacts of density on social aspects. Therefore, this study explores the extent to which design factors can be correlated to the social outcomes of different density areas. To do this, data from an empirical study conducted in the UK, which identified the relationship between density and social sustainability through cases of fifteen neighbourhoods, have been utilised. This paper has conducted further analysis based on these cases using a mixed method with spatial analysis tools. Outcomes show that some of the social results in the UK study such as safety are correlated with spatial factors like normalised angular choice. Moreover, the regression model created from the spatial indices can be used to predict the overall social sustainability index reported by the UK study.
AB - Studies argue that higher density areas incur social problems such as lack of safety [1], while other studies provide evidence for the positive impact of high-density urban areas, for instance opportunities for social interactions and equal form of accessibility [2]. This paper argues that design factors can mediate the impacts of density on social aspects. Therefore, this study explores the extent to which design factors can be correlated to the social outcomes of different density areas. To do this, data from an empirical study conducted in the UK, which identified the relationship between density and social sustainability through cases of fifteen neighbourhoods, have been utilised. This paper has conducted further analysis based on these cases using a mixed method with spatial analysis tools. Outcomes show that some of the social results in the UK study such as safety are correlated with spatial factors like normalised angular choice. Moreover, the regression model created from the spatial indices can be used to predict the overall social sustainability index reported by the UK study.
KW - Social sustainability
KW - Space syntax
KW - Spatial analysis
KW - Urban density
KW - Urban Network Analysis
UR - http://www.scopus.com/inward/record.url?scp=85068204291&partnerID=8YFLogxK
U2 - 10.1007/978-981-13-8410-3_19
DO - 10.1007/978-981-13-8410-3_19
M3 - Conference Paper
AN - SCOPUS:85068204291
SN - 9789811384097
T3 - Communications in Computer and Information Science
SP - 264
EP - 278
BT - Computer-Aided Architectural Design. “Hello, Culture”
A2 - Lee, Ji-Hyun
PB - Springer
CY - Singapore
T2 - 18th International Conference on Computer-Aided Architectural Design Futures, CAAD Futures 2019
Y2 - 26 June 2019 through 28 June 2019
ER -