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Delsante, Ioanni; Bertolino, N.; Bugatti, A.; Cristina, M.L.
Languages: English
Types: Unknown
Subjects: NA
The paper is related with a research that was aimed to better define urban quality and sustainability\ud at a district scale (4000-10000 inhabitants), specifically referred to European towns and settlements.\ud An innovative set of indicators (72) has been developed, starting from and taking into consideration\ud also existing literature, both in terms of indicators and sets of indicators (OECD, UN, Agenda 21, and\ud existing European databases as CRISP), four “thematic” areas have been defined dealing with\ud architectural quality, accessibility, environment and services. Within each of these areas some macroindicators\ud and micro-indicators have been defined. The aim is to translate something that is usually\ud considered subjective into something “objective” and finally defined with a number (0-100). Microindicators\ud and macro-indicators are weighted thanks to a mathematical method based on symmetrical\ud matrixes, so that there is a correct balance between different areas. Indicators are both qualitative\ud and quantitative, so they are not just referred to urban planning procedures. The research has been\ud already successfully applied to some Italian districts in towns as Lodi, Genova and Milano. The set of\ud indicators was needed also to work within a multi disciplinary team that has already included\ud engineers, architects, planners as well as doctors and physicians. As a matter of fact the results in\ud terms of urban quality have been compared with medical results concerning health and wellness\ud perception (using SF-36 international recognized questionnaires) by users (inhabitants), finding (non\ud linear) relationships between urban quality and well being perception by inhabitants. The results of\ud this research can be used to: better define design strategies (by designers) accordingly to users\ud wellness, or evaluate ex-post the results of design activities (by municipalities or public authorities).
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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