City form and well-being: what makes London neighborhoods good places to live?

Alessandro Venerandi, Giovanni Quattrone, Licia Capra

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

5 Citations (Scopus)

Abstract

What is the relationship between urban form and citizens' well-being? In this paper, we propose a quantitative approach to help answer this question, inspired by theories developed within the fields of architecture and population health. The method extracts a rich set of metrics of urban form and well-being from openly accessible datasets. Using linear regression analysis, we identify a model which can explain 30% of the variance of well-being when applied to Greater London, UK. Outcomes of this research can inform the discussion on how to design cities which foster the wellbeing of their residents.

Original languageEnglish
Title of host publication24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016
EditorsMatthias Renz, Mohamed Ali, Shawn Newsam, Matthias Renz, Siva Ravada, Goce Trajcevski
Place of PublicationNew York
Number of pages4
ISBN (Electronic)9781450345897
DOIs
Publication statusPublished - 31 Oct 2016
Event24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016 - Burlingame, United States
Duration: 31 Oct 20163 Nov 2016

Conference

Conference24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016
Country/TerritoryUnited States
CityBurlingame
Period31/10/163/11/16

Keywords

  • open data
  • quantitative analysis
  • urban form
  • well-being

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