Implementation of an urban efficiency index to comprehend post-metropolitan territories—The case of Greater Milan in Italy
• A fuzzy logic model is proposed to understand urban dynamics and efficiency. • A summary urban efficiency index is defined and calculated for 904 municipalities. • Results are represented by clustering and GIS in a 100 km2 territory around Milan. • Results support decisions for urban renewal and e...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Caputo, Paola [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Oxygen and carbon dioxide monitoring during sleep - Amaddeo, Alessandro ELSEVIER, 2016transfer abstract, SCC, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:48 ; year:2019 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.scs.2019.101565 |
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| 520 | |a • A fuzzy logic model is proposed to understand urban dynamics and efficiency. • A summary urban efficiency index is defined and calculated for 904 municipalities. • Results are represented by clustering and GIS in a 100 km2 territory around Milan. • Results support decisions for urban renewal and environmental pressure reduction. • Further improvements will be a more systematic structure of the model. | ||
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Implementation of an urban efficiency index to comprehend post-metropolitan territories—The case of Greater Milan in Italy |
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• A fuzzy logic model is proposed to understand urban dynamics and efficiency. • A summary urban efficiency index is defined and calculated for 904 municipalities. • Results are represented by clustering and GIS in a 100 km2 territory around Milan. • Results support decisions for urban renewal and environmental pressure reduction. • Further improvements will be a more systematic structure of the model. |
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• A fuzzy logic model is proposed to understand urban dynamics and efficiency. • A summary urban efficiency index is defined and calculated for 904 municipalities. • Results are represented by clustering and GIS in a 100 km2 territory around Milan. • Results support decisions for urban renewal and environmental pressure reduction. • Further improvements will be a more systematic structure of the model. |
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• A fuzzy logic model is proposed to understand urban dynamics and efficiency. • A summary urban efficiency index is defined and calculated for 904 municipalities. • Results are represented by clustering and GIS in a 100 km2 territory around Milan. • Results support decisions for urban renewal and environmental pressure reduction. • Further improvements will be a more systematic structure of the model. |
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pressure reduction. • Further improvements will be a more systematic structure of the model.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Urban utilities</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Territorial planning</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Urban metabolism</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Lombardy region</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Energy and environmental policies</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pasetti, Giulia</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield 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