Quantitative analysis of landscape efficacy based on structural equation modelling: Empirical evidence from new Chinese style commercial streets

With the boom of digital landscape architecture, the evaluation of landscape efficacy has evolved from pictorial description to model analysis. Many scholars have explored the mathematical model behind traditional geometric laws. Structural equation modelling (SEM) provides a scientific measurement...

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Main Authors: Zhe Li, Xiao Han, XiaoShan Lin, XinYi Lu
Format: Article
Language:English
Published: Elsevier 2021-02-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016820303896
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author Zhe Li
Xiao Han
XiaoShan Lin
XinYi Lu
author_facet Zhe Li
Xiao Han
XiaoShan Lin
XinYi Lu
author_sort Zhe Li
collection DOAJ
description With the boom of digital landscape architecture, the evaluation of landscape efficacy has evolved from pictorial description to model analysis. Many scholars have explored the mathematical model behind traditional geometric laws. Structural equation modelling (SEM) provides a scientific measurement tool for landscape performance, thanks to its simple path, simultaneous equations, and in-depth variable measurement. Inspired by the theories of the SEM, this paper establishes a theoretical model for landscape efficacy based on five unobservable factors, namely, spatial density, vegetation coverage, recreational travel, scenic integration, and topological depth. Next, typical new Chinese style (NCS) commercial streets were selected as samples, and the initial data on the five factors were extracted and normalized by depthmapX, Grasshopper, and SPSS. With the aid of SPSS Amos, the path between each unobserved element and landscape efficacy was simulated, quantified, and fitted by our model. The fitting results were verified and analysed through multiple regression. A total of 200 typical NCS commercial streets were selected as samples to verify the established model. The results show that topological depth (path coefficient: 0.98) has the greatest impact on landscape efficacy, followed in turn by spatial density (0.86), vegetation coverage (0.65), scenic integration (0.59), and recreational travel (0.50). The empirical analysis proves that the SEM can effectively evaluate the landscape efficacy of the NCS commercial streets. The research results provide a good reference for the quantification of the coupling relationship between unobserved factors in built environment.
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spelling doaj.art-059fd4f1f4e14bc98f78d0b2f01ec81a2022-12-21T19:49:23ZengElsevierAlexandria Engineering Journal1110-01682021-02-01601261271Quantitative analysis of landscape efficacy based on structural equation modelling: Empirical evidence from new Chinese style commercial streetsZhe Li0Xiao Han1XiaoShan Lin2XinYi Lu3Corresponding author.; Department of Landscape Architecture, School of Architecture, Southeast University, Nanjing, 210096, ChinaDepartment of Landscape Architecture, School of Architecture, Southeast University, Nanjing, 210096, ChinaDepartment of Landscape Architecture, School of Architecture, Southeast University, Nanjing, 210096, ChinaDepartment of Landscape Architecture, School of Architecture, Southeast University, Nanjing, 210096, ChinaWith the boom of digital landscape architecture, the evaluation of landscape efficacy has evolved from pictorial description to model analysis. Many scholars have explored the mathematical model behind traditional geometric laws. Structural equation modelling (SEM) provides a scientific measurement tool for landscape performance, thanks to its simple path, simultaneous equations, and in-depth variable measurement. Inspired by the theories of the SEM, this paper establishes a theoretical model for landscape efficacy based on five unobservable factors, namely, spatial density, vegetation coverage, recreational travel, scenic integration, and topological depth. Next, typical new Chinese style (NCS) commercial streets were selected as samples, and the initial data on the five factors were extracted and normalized by depthmapX, Grasshopper, and SPSS. With the aid of SPSS Amos, the path between each unobserved element and landscape efficacy was simulated, quantified, and fitted by our model. The fitting results were verified and analysed through multiple regression. A total of 200 typical NCS commercial streets were selected as samples to verify the established model. The results show that topological depth (path coefficient: 0.98) has the greatest impact on landscape efficacy, followed in turn by spatial density (0.86), vegetation coverage (0.65), scenic integration (0.59), and recreational travel (0.50). The empirical analysis proves that the SEM can effectively evaluate the landscape efficacy of the NCS commercial streets. The research results provide a good reference for the quantification of the coupling relationship between unobserved factors in built environment.http://www.sciencedirect.com/science/article/pii/S1110016820303896Landscape efficacyStructural equation modelling (SEM)Quantitative analysisUnobservable factorsNew Chinese Style (CNS) commercial street
spellingShingle Zhe Li
Xiao Han
XiaoShan Lin
XinYi Lu
Quantitative analysis of landscape efficacy based on structural equation modelling: Empirical evidence from new Chinese style commercial streets
Alexandria Engineering Journal
Landscape efficacy
Structural equation modelling (SEM)
Quantitative analysis
Unobservable factors
New Chinese Style (CNS) commercial street
title Quantitative analysis of landscape efficacy based on structural equation modelling: Empirical evidence from new Chinese style commercial streets
title_full Quantitative analysis of landscape efficacy based on structural equation modelling: Empirical evidence from new Chinese style commercial streets
title_fullStr Quantitative analysis of landscape efficacy based on structural equation modelling: Empirical evidence from new Chinese style commercial streets
title_full_unstemmed Quantitative analysis of landscape efficacy based on structural equation modelling: Empirical evidence from new Chinese style commercial streets
title_short Quantitative analysis of landscape efficacy based on structural equation modelling: Empirical evidence from new Chinese style commercial streets
title_sort quantitative analysis of landscape efficacy based on structural equation modelling empirical evidence from new chinese style commercial streets
topic Landscape efficacy
Structural equation modelling (SEM)
Quantitative analysis
Unobservable factors
New Chinese Style (CNS) commercial street
url http://www.sciencedirect.com/science/article/pii/S1110016820303896
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