Investigating the Social Impacts of High-Density Neighbourhoods Through Spatial Analysis

Sahar Soltani, Ning Gu, Jorge Ochoa Paniagua, Alpana Sivam, Tim Pat McGinley

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationComputer-Aided Architectural Design. "Hello, Culture"
Volume1028
PublisherSpringer
Publication date2019
Pages264-278
ISBN (Print)978-981-13-8409-7
ISBN (Electronic)978-981-13-8410-3
DOIs
Publication statusPublished - 2019
Event18th International Conference on Computer-Aided Architectural Design Futures - Daejeon, Korea, Republic of
Duration: 26 Jun 201928 Jun 2019
Conference number: 18

Conference

Conference18th International Conference on Computer-Aided Architectural Design Futures
Number18
Country/TerritoryKorea, Republic of
CityDaejeon
Period26/06/201928/06/2019
SeriesCommunications in Computer and Information Science
ISSN1865-0929

Keywords

  • Urban density
  • Social sustainability
  • Spatial analysis
  • Space syntax
  • Urban Network Analysis

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