Structural Equation Model in Landscape Performance Research: Dimensions, Methodologies, and Recommendations
The scientific evaluation of landscape performance has become a critical focus in promoting landscape architecture and urban quality research. Structural equation modeling (SEM) is widely applied in digital assessments and performance studies, offering robust analytical capabilities. However, furthe...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/14/3/646 |
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| author | Xiao Han Zhe Li Haini Chen Mengyao Yu Yi Shi |
| author_facet | Xiao Han Zhe Li Haini Chen Mengyao Yu Yi Shi |
| author_sort | Xiao Han |
| collection | DOAJ |
| description | The scientific evaluation of landscape performance has become a critical focus in promoting landscape architecture and urban quality research. Structural equation modeling (SEM) is widely applied in digital assessments and performance studies, offering robust analytical capabilities. However, further progress requires a systematic review to synthesize past findings and identify emerging opportunities. This study reviews 245 articles that utilize SEM in landscape performance research, analyzing publication trends, research dimensions, methodologies, and data sources. The results indicate that SEM-based studies are predominantly focused on cognitive environmental performance based on subjective evaluation data. SEM can be applied to analyze the correlation mechanisms between landscape performance and influencing factors, examine the mediating effects among multiple factors, and conduct comparative analyses across different sample groups. Future research should prioritize integrating subjective and objective assessments, developing open-source databases, and promoting practical applications of SEM technologies. These efforts will enhance policy-making and improve the precision of performance evaluations, strengthening the scientific foundation of landscape architecture and quality enhancement research. |
| format | Article |
| id | doaj-art-be0cb981b6fd44c49646cb0698545a7e |
| institution | Kabale University |
| issn | 2073-445X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj-art-be0cb981b6fd44c49646cb0698545a7e2025-08-20T03:43:34ZengMDPI AGLand2073-445X2025-03-0114364610.3390/land14030646Structural Equation Model in Landscape Performance Research: Dimensions, Methodologies, and RecommendationsXiao Han0Zhe Li1Haini Chen2Mengyao Yu3Yi Shi4School of Architecture, Southeast University, Nanjing 210096, ChinaSchool of Architecture, Southeast University, Nanjing 210096, ChinaSchool of Architecture, Southeast University, Nanjing 210096, ChinaSchool of Architecture, Southeast University, Nanjing 210096, ChinaSchool of Architecture, Southeast University, Nanjing 210096, ChinaThe scientific evaluation of landscape performance has become a critical focus in promoting landscape architecture and urban quality research. Structural equation modeling (SEM) is widely applied in digital assessments and performance studies, offering robust analytical capabilities. However, further progress requires a systematic review to synthesize past findings and identify emerging opportunities. This study reviews 245 articles that utilize SEM in landscape performance research, analyzing publication trends, research dimensions, methodologies, and data sources. The results indicate that SEM-based studies are predominantly focused on cognitive environmental performance based on subjective evaluation data. SEM can be applied to analyze the correlation mechanisms between landscape performance and influencing factors, examine the mediating effects among multiple factors, and conduct comparative analyses across different sample groups. Future research should prioritize integrating subjective and objective assessments, developing open-source databases, and promoting practical applications of SEM technologies. These efforts will enhance policy-making and improve the precision of performance evaluations, strengthening the scientific foundation of landscape architecture and quality enhancement research.https://www.mdpi.com/2073-445X/14/3/646landscape performancestructural equation modelmodel measurementsystematic review |
| spellingShingle | Xiao Han Zhe Li Haini Chen Mengyao Yu Yi Shi Structural Equation Model in Landscape Performance Research: Dimensions, Methodologies, and Recommendations Land landscape performance structural equation model model measurement systematic review |
| title | Structural Equation Model in Landscape Performance Research: Dimensions, Methodologies, and Recommendations |
| title_full | Structural Equation Model in Landscape Performance Research: Dimensions, Methodologies, and Recommendations |
| title_fullStr | Structural Equation Model in Landscape Performance Research: Dimensions, Methodologies, and Recommendations |
| title_full_unstemmed | Structural Equation Model in Landscape Performance Research: Dimensions, Methodologies, and Recommendations |
| title_short | Structural Equation Model in Landscape Performance Research: Dimensions, Methodologies, and Recommendations |
| title_sort | structural equation model in landscape performance research dimensions methodologies and recommendations |
| topic | landscape performance structural equation model model measurement systematic review |
| url | https://www.mdpi.com/2073-445X/14/3/646 |
| work_keys_str_mv | AT xiaohan structuralequationmodelinlandscapeperformanceresearchdimensionsmethodologiesandrecommendations AT zheli structuralequationmodelinlandscapeperformanceresearchdimensionsmethodologiesandrecommendations AT hainichen structuralequationmodelinlandscapeperformanceresearchdimensionsmethodologiesandrecommendations AT mengyaoyu structuralequationmodelinlandscapeperformanceresearchdimensionsmethodologiesandrecommendations AT yishi structuralequationmodelinlandscapeperformanceresearchdimensionsmethodologiesandrecommendations |