Venerandi, A;
Quattrone, G;
Capra, L;
(2016)
City form and well-being: what makes London neighborhoods good places to live?
In: Ali, M and Newsam, S and Ravada, S and Renz, M and Trajcevski, G, (eds.)
GIS '16: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems.
Association for Computing Machinery (ACM): New York, NY, USA.
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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.
| Type: | Proceedings paper |
|---|---|
| Title: | City form and well-being: what makes London neighborhoods good places to live? |
| Event: | 24th ACM International Conference on Advances in Geographic Information Systems (GIS '16) |
| Location: | San Francisco, CA |
| ISBN-13: | 9781450345897 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/2996913.2997011 |
| Publisher version: | https://doi.org/10.1145/2996913.2997011 |
| Language: | English |
| Additional information: | Copyright © 2016 ACM. |
| Keywords: | Urban Form, Well-being, Quantitative Analysis, Open Data |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1514856 |
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