An Assessment of Urban Residential Environment Quality Based on Multi-Source Geospatial Data: A Case Study of Beijing, China Article Swipe
Shijia Zhang
,
Xia Yang
,
Zijuan Li
,
Xue Li
,
Yu‐Fei Wu
,
Peiyi Liu
,
Shouhang Du
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/land13060823
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/land13060823
Assessing the urban residential environment quality (REQ) is essential for advancing sustainable urban development and enhancing urban residents’ living standards. Traditional REQ assessments rely on statistical data, prone to delays and lacking holistic insight. This study takes residential blocks as the analysis units and is conducted within the area of the Sixth Ring Road in Beijing. It synthesizes multi-source geospatial data to devise a comprehensive framework for assessing urban REQ, incorporating facets of environmental health and comfort, housing comfort, transportation convenience, city security, and life convenience. Utilizing the principle of minimal relative informational entropy, this study integrates the Analytic Hierarchy Process (AHP) with the entropy method to determine the weight of each evaluative criterion. Subsequently, a linear weighting technique is employed to ascertain the scores for each evaluative criterion, thus facilitating a detailed examination of the REQ. Finally, the research probes into the complex interrelation between the assessed REQ and the city’s Gross Domestic Product (GDP) and carbon emissions across varying scales. Findings reveal that (1) the overall REQ within Beijing’s Sixth Ring Road is superior at the center and diminishes towards the periphery. (2) The dispersion of environmental health and comfort and city security metrics is relatively uniform, showing minor variations; however, a marked disparity is observed in the distribution of housing comfort metrics. (3) Regions characterized by higher GDP tend to demonstrate relatively higher levels of the REQ. Conversely, areas boasting higher-quality urban REQ are more inclined to exhibit increased levels of carbon emissions.
Related Topics
Concepts
Beijing
Analytic hierarchy process
Geospatial analysis
Environmental quality
Weighting
Sustainable development
China
Geography
Environmental economics
Environmental resource management
Environmental planning
Business
Environmental science
Cartography
Engineering
Operations research
Economics
Archaeology
Political science
Law
Medicine
Radiology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/land13060823
- https://www.mdpi.com/2073-445X/13/6/823/pdf?version=1717767889
- OA Status
- gold
- Cited By
- 4
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399430169
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4399430169Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/land13060823Digital Object Identifier
- Title
-
An Assessment of Urban Residential Environment Quality Based on Multi-Source Geospatial Data: A Case Study of Beijing, ChinaWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-07Full publication date if available
- Authors
-
Shijia Zhang, Xia Yang, Zijuan Li, Xue Li, Yu‐Fei Wu, Peiyi Liu, Shouhang DuList of authors in order
- Landing page
-
https://doi.org/10.3390/land13060823Publisher landing page
- PDF URL
-
https://www.mdpi.com/2073-445X/13/6/823/pdf?version=1717767889Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2073-445X/13/6/823/pdf?version=1717767889Direct OA link when available
- Concepts
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Beijing, Analytic hierarchy process, Geospatial analysis, Environmental quality, Weighting, Sustainable development, China, Geography, Environmental economics, Environmental resource management, Environmental planning, Business, Environmental science, Cartography, Engineering, Operations research, Economics, Archaeology, Political science, Law, Medicine, RadiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4Per-year citation counts (last 5 years)
- References (count)
-
42Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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