Indicators and Scenarios for Sustainable Development at the Local Level Article Swipe
Alice Borsari
,
Patrizia Lombardi
,
Sara Torabi Moghadam
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/978-3-031-33894-6_5
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/978-3-031-33894-6_5
Cities around the world have faced the impact of the COVID-19 pandemic with unprecedented speed, due to our hyper-connected society. As history teaches us, epidemics plague society because of the vulnerabilities generated by humans through their relationships with the environment, with other species and with each other. The recent pandemic is a stark reminder that urbanization has changed the way people and communities live, work, and interact, and it is even more necessary than in the past to adopt a multidisciplinary approach to the development of systemic operational skills that can address complex issues within cities. This work showed how many measures adopted during the emergency have now become part of daily life. The lesson of the pandemic is that people’s health is connected to and dependent on the health of the planet, and cities are at the center of this relationship. The objective of the research starts from the need to identify a selection of post-COVID indicators providing an analysis methodology suitable for the creation of its own final set with the identification of specific key performance indicators (KPIs) of the project, replicable in other urban contexts, on which to base the analysis of the level of local sustainability, especially at the neighborhood scale. The proposed methodological framework is developed in two phases: (1) indicator selection and (2) baseline scenario, set out to investigate the existing correlations between the urban environment and the neighborhood level of cities. On the basis of the assessment of the KPIs, selected on the basis of numerous comparisons with the project's internal and external stakeholders, thanks to the creation of an interactive dashboard with Tableau software, it was possible to analyze the basic scenario of proximity at the neighborhood scale for the City of Turin, highlighting weak points and priority areas on which to act, experimenting with the theme “Inhabiting proximity” as an urban response to the pandemic.
Related Topics
Concepts
Pandemic
Baseline (sea)
Urbanization
Performance indicator
Sustainability
Work (physics)
Identification (biology)
Multidisciplinary approach
Set (abstract data type)
Sustainable development
Geography
Scale (ratio)
Environmental planning
Coronavirus disease 2019 (COVID-19)
Regional science
Business
Political science
Economic growth
Computer science
Engineering
Cartography
Marketing
Disease
Biology
Botany
Programming language
Economics
Pathology
Mechanical engineering
Medicine
Infectious disease (medical specialty)
Law
Ecology
Metadata
- Type
- book-chapter
- Language
- en
- Landing Page
- https://doi.org/10.1007/978-3-031-33894-6_5
- https://link.springer.com/content/pdf/10.1007/978-3-031-33894-6_5.pdf
- OA Status
- hybrid
- References
- 6
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4383047310
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4383047310Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/978-3-031-33894-6_5Digital Object Identifier
- Title
-
Indicators and Scenarios for Sustainable Development at the Local LevelWork title
- Type
-
book-chapterOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Alice Borsari, Patrizia Lombardi, Sara Torabi MoghadamList of authors in order
- Landing page
-
https://doi.org/10.1007/978-3-031-33894-6_5Publisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/978-3-031-33894-6_5.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://link.springer.com/content/pdf/10.1007/978-3-031-33894-6_5.pdfDirect OA link when available
- Concepts
-
Pandemic, Baseline (sea), Urbanization, Performance indicator, Sustainability, Work (physics), Identification (biology), Multidisciplinary approach, Set (abstract data type), Sustainable development, Geography, Scale (ratio), Environmental planning, Coronavirus disease 2019 (COVID-19), Regional science, Business, Political science, Economic growth, Computer science, Engineering, Cartography, Marketing, Disease, Biology, Botany, Programming language, Economics, Pathology, Mechanical engineering, Medicine, Infectious disease (medical specialty), Law, EcologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
6Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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