A computational approach to measuring social impact of urban density through mixed methods using spatial analysis

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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

While there is a growing interest in using spatial network analysis methods such as Space Syntax to explore the socio-spatial aspects of the built form, some scholars refer to its main limitation of missing the measurements of buildings’ fabric and density. Furthermore, new approaches that attempt to address these shortcomings, such as Urban Network Analysis toolbox, do not provide as comprehensive explorations as what Space Syntax does for the street network. Therefore, this paper proposes that a mixed-method applying both the tools in a complementary way enables a deeper understanding of the socio-spatial design metrics addressing density. Employing both tools on two cases of low and high-density neighbourhoods, the results demonstrate that the combination of these tools can minimise the shortcomings of each method individually, and lead to a more comprehensive understanding of socio-spatial design factors in relation with density.
Original languageEnglish
Title of host publicationIntelligent & Informed: Proceedings of the 24th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2019
Publication date2019
Pages321-330
Publication statusPublished - 2019
Event24th Annual Conference of the Association for Computer-Aided Architectural Design Research in Asia - Victoria University of Wellington, Wellington, New Zealand
Duration: 15 Apr 201918 Apr 2019
Conference number: 24

Conference

Conference24th Annual Conference of the Association for Computer-Aided Architectural Design Research in Asia
Number24
LocationVictoria University of Wellington
CountryNew Zealand
CityWellington
Period15/04/201918/04/2019

Keywords

  • Urban Network Analysis
  • Social Impact
  • Space Syntax
  • UNA Toolbox
  • Urban Density

Cite this

Soltani, S., Gu, N., Paniagua, J. O., Sivam, A., & McGinley, T. P. (2019). A computational approach to measuring social impact of urban density through mixed methods using spatial analysis. In Intelligent & Informed: Proceedings of the 24th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2019 (pp. 321-330)
Soltani, Sahar ; Gu, Ning ; Paniagua, Jorge Ochoa ; Sivam, Alpana ; McGinley, Tim Pat. / A computational approach to measuring social impact of urban density through mixed methods using spatial analysis. Intelligent & Informed: Proceedings of the 24th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2019. 2019. pp. 321-330
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abstract = "While there is a growing interest in using spatial network analysis methods such as Space Syntax to explore the socio-spatial aspects of the built form, some scholars refer to its main limitation of missing the measurements of buildings’ fabric and density. Furthermore, new approaches that attempt to address these shortcomings, such as Urban Network Analysis toolbox, do not provide as comprehensive explorations as what Space Syntax does for the street network. Therefore, this paper proposes that a mixed-method applying both the tools in a complementary way enables a deeper understanding of the socio-spatial design metrics addressing density. Employing both tools on two cases of low and high-density neighbourhoods, the results demonstrate that the combination of these tools can minimise the shortcomings of each method individually, and lead to a more comprehensive understanding of socio-spatial design factors in relation with density.",
keywords = "Urban Network Analysis, Social Impact, Space Syntax, UNA Toolbox, Urban Density",
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Soltani, S, Gu, N, Paniagua, JO, Sivam, A & McGinley, TP 2019, A computational approach to measuring social impact of urban density through mixed methods using spatial analysis. in Intelligent & Informed: Proceedings of the 24th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2019. pp. 321-330, 24th Annual Conference of the Association for Computer-Aided Architectural Design Research in Asia, Wellington, New Zealand, 15/04/2019.

A computational approach to measuring social impact of urban density through mixed methods using spatial analysis. / Soltani, Sahar; Gu, Ning; Paniagua, Jorge Ochoa; Sivam, Alpana; McGinley, Tim Pat.

Intelligent & Informed: Proceedings of the 24th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2019. 2019. p. 321-330.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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T1 - A computational approach to measuring social impact of urban density through mixed methods using spatial analysis

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AU - McGinley, Tim Pat

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AB - While there is a growing interest in using spatial network analysis methods such as Space Syntax to explore the socio-spatial aspects of the built form, some scholars refer to its main limitation of missing the measurements of buildings’ fabric and density. Furthermore, new approaches that attempt to address these shortcomings, such as Urban Network Analysis toolbox, do not provide as comprehensive explorations as what Space Syntax does for the street network. Therefore, this paper proposes that a mixed-method applying both the tools in a complementary way enables a deeper understanding of the socio-spatial design metrics addressing density. Employing both tools on two cases of low and high-density neighbourhoods, the results demonstrate that the combination of these tools can minimise the shortcomings of each method individually, and lead to a more comprehensive understanding of socio-spatial design factors in relation with density.

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Soltani S, Gu N, Paniagua JO, Sivam A, McGinley TP. A computational approach to measuring social impact of urban density through mixed methods using spatial analysis. In Intelligent & Informed: Proceedings of the 24th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2019. 2019. p. 321-330