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.

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

Quattrone G.;
2016-01-01

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.
2016
24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016
San Francisco Airport Marriott Waterfront, USA
2016
GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
Association for Computing Machinery
1
4
9781450345897
http://portal.acm.org/browse_dl.cfm?linked=1&part=series&idx=SERIES10657&coll=portal&dl=ACM&CFID=58288824&CFTOKEN=52263605
Open Data; Quantitative Analysis; Urban Form; Well-being
Venerandi A.; Quattrone G.; Capra L.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1730497
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