Assessing urban livability in Shanghai through an open source data-driven approach Article Swipe
Alexandros Gasparatos
,
Yin Long
,
Yi Wu
,
Liqiao Huang
,
Jelena Aleksejeva
,
Deljana Iossifova
,
Nannan Dong
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-3206572/v1
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-3206572/v1
Urban livability has become a major policy and practice priority in many parts of the world, but its attainment remains challenging in many cities of developing and emerging economies. The lack of data with appropriate quality, coverage, and spatial/temporal resolution often complicates the assessment of livability in such cities, and the identification of priority areas for improvement. Here we develop an innovative framework to mobilize and synthesize open-source data to analyze spatially urban livability patterns in Shanghai. The framework brings together diverse open-source data such as housing prices, population distribution, transportation networks, and points of interest to identify city areas with low livability, and thus priority areas for improvement. Such findings can provide a comprehensive overview of the residential living environment in Shanghai, as well as provide useful information to urban planners and decision-makers. Furthermore, the developed method has the potential for application in other cities, subject to data availability.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-3206572/v1
- https://www.researchsquare.com/article/rs-3206572/latest.pdf
- OA Status
- green
- References
- 100
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385768251
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385768251Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21203/rs.3.rs-3206572/v1Digital Object Identifier
- Title
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Assessing urban livability in Shanghai through an open source data-driven approachWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-08-11Full publication date if available
- Authors
-
Alexandros Gasparatos, Yin Long, Yi Wu, Liqiao Huang, Jelena Aleksejeva, Deljana Iossifova, Nannan DongList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-3206572/v1Publisher landing page
- PDF URL
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https://www.researchsquare.com/article/rs-3206572/latest.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.researchsquare.com/article/rs-3206572/latest.pdfDirect OA link when available
- Concepts
-
Open source, Geography, Environmental planning, Computer science, Software, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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100Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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