Social Benefits Evaluation of Rural Micro-Landscapes in Southeastern Coastal Towns of China—The Case of Jinjiang, Fujian Article Swipe
Lan Shen
,
Yueying Li
,
Siren Lan
,
Minfeng Yao
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/su14138036
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/su14138036
Faced with the current situation of the decay and alienation of traditional public space and the broken and disorderly spatial structure caused by the rapid urbanization of the Chinese countryside, rural micro-landscape creation has become an effective way to improve human living environments. However, it is currently difficult for rural micro-landscape construction to achieve the sustainable development of social benefits due to the lack of scientific design guidelines. Evaluating the social benefits of completed projects and identifying the important influencing factors are key to realizing the evidence-based design of rural micro-landscapes. To this end, this study deduces the mechanism of social benefit generation based on the psychological process of spatial perception and establishes a structural equation model containing compound influence pathways to measure the social benefits of micro-landscapes. The evaluation model consists of four latent variables, “physical element characteristics”, “perceptual quality”, “cognitive experience”, and “activity behavior”, and 35 observed variables. The researchers selected 18 micro-landscape areas in Jinjiang City, Fujian Province, China, as the survey sample and analyzed the influence of the potential variables and the explanatory power of the observed variables through a quantitative analysis of objective environmental elements and perception data from 102 respondents. The results showed that “perceptual quality” and “cognitive experience” had the greatest direct effect on social benefits, and, based on the progressive influence relationships among the dimensions, “physical element characteristics” dominated the total social benefits through direct and indirect means. Compared with single-function green space, comfortable and diverse artificial facilities encourage residents to enter and use micro-landscapes and contribute to their social benefits. The purpose of this paper is to explore the ideal form of rural micro-landscape creation and provide a theoretical basis for the future practice of high-quality and sustainable rural micro-landscape construction.
Related Topics
Concepts
Urbanization
Structural equation modeling
Explanatory power
China
Rural area
Perception
Sustainable development
Questionnaire
Environmental economics
Quality (philosophy)
Environmental resource management
Geography
Environmental planning
Business
Economic growth
Psychology
Computer science
Ecology
Economics
Sociology
Political science
Law
Epistemology
Neuroscience
Machine learning
Biology
Philosophy
Archaeology
Social science
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/su14138036
- OA Status
- gold
- Cited By
- 4
- References
- 47
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4283759214
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4283759214Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/su14138036Digital Object Identifier
- Title
-
Social Benefits Evaluation of Rural Micro-Landscapes in Southeastern Coastal Towns of China—The Case of Jinjiang, FujianWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-06-30Full publication date if available
- Authors
-
Lan Shen, Yueying Li, Siren Lan, Minfeng YaoList of authors in order
- Landing page
-
https://doi.org/10.3390/su14138036Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3390/su14138036Direct OA link when available
- Concepts
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Urbanization, Structural equation modeling, Explanatory power, China, Rural area, Perception, Sustainable development, Questionnaire, Environmental economics, Quality (philosophy), Environmental resource management, Geography, Environmental planning, Business, Economic growth, Psychology, Computer science, Ecology, Economics, Sociology, Political science, Law, Epistemology, Neuroscience, Machine learning, Biology, Philosophy, Archaeology, Social scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2, 2023: 2Per-year citation counts (last 5 years)
- References (count)
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47Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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