Analysis of article using Artificial Intelligence tools
|Author||Venerandi A., Quattrone G., Capra L.|
|Title||City form and well-being: What makes London neighborhoods good places to live?|
Venerandi A., Quattrone G., Capra L.; City form and well-being: What makes London neighborhoods good places to live? ;GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems vol: issue: page:
|Keywords||Open Data; Quantitative Analysis; Urban Form; Well-being
|Link to article|| https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011092674&doi=10.1145%2f2996913.2997011&partnerID=40&md5=2aeac6e3bee5d0f559305f090621291a
|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 ACM.