Study on suitability and spatial distribution of human settlement environment in arid areas based on GIS and analytic hierarchy process Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.3389/fevo.2023.1282749
Introduction Scientific evaluation of the suitability of human settlement in arid areas and a grasp of their spatial differentiation characteristics are of great significance for the implementation of regional human settlement environment (HSE) improvement according to local conditions. Methods In this study, we took Gansu Province (GS), a typical arid area in China, as the research object. First, based on field research, we used the analytic hierarchy process to determine the weights of 12 evaluation indicators and build an HSE evaluation model from the two dimensions of nature and humanities. Then, we conduct a comprehensive evaluation of each factor based on the GIS spatial analysis module. Finally, we used the GIS natural breakpoint method and zoning statistics to understand the suitability of the HSE and its spatial distribution characteristics in GS Province. Results The study findings can be summarized as follows: (1) The spatial distribution of the suitability of the natural environment in GS Province shows that the east-central part of the province is significantly higher than the northwestern, and there is a big difference between localities. (2) The comprehensive suitability of human settlement in GS Province appears as a spatial distribution characteristic, gradually decreasing from the central urban area to the surrounding areas. The suitability index of the living environment is between 0.26 and 0.71. (3) The area sizes of the five types of suitability are ranked as the following: low suitable (138,502 km 2 ) > moderately suitable (133,761 km 2 ) > critical suitable (97,244 km 2 ) > high suitable (47,459 km 2 ) > unsuitable (38,980km 2 ); in 14 cities, the average value of habitat suitability index is more than 0.5 accounting for 42.9%. Discussion Our research not only fills a gap in the research of human settlement in arid zones but also provides policy support for government departments to improve human settlement.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fevo.2023.1282749
- https://www.frontiersin.org/articles/10.3389/fevo.2023.1282749/pdf?isPublishedV2=False
- OA Status
- gold
- Cited By
- 1
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387539863
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387539863Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fevo.2023.1282749Digital Object Identifier
- Title
-
Study on suitability and spatial distribution of human settlement environment in arid areas based on GIS and analytic hierarchy processWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-11Full publication date if available
- Authors
-
Manguo Geng, Benteng Liu, Zhang WeList of authors in order
- Landing page
-
https://doi.org/10.3389/fevo.2023.1282749Publisher landing page
- PDF URL
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https://www.frontiersin.org/articles/10.3389/fevo.2023.1282749/pdf?isPublishedV2=FalseDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/fevo.2023.1282749/pdf?isPublishedV2=FalseDirect OA link when available
- Concepts
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Zoning, Arid, Geography, Analytic hierarchy process, Spatial distribution, Settlement (finance), Distribution (mathematics), Spatial analysis, Environmental resource management, Physical geography, Cartography, Environmental science, Ecology, Computer science, Remote sensing, Civil engineering, Operations research, Mathematics, Engineering, World Wide Web, Mathematical analysis, Biology, PaymentTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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32Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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