Analysis Model of the Relationship between Public Spatial Forms in Traditional Villages and Scenic Beauty Preference Based on LiDAR Point Cloud Data

Traditional villages are historically, culturally, scientifically and aesthetically valuable, and a beautiful landscape is the primary embodiment of a traditional village environment. Urbanization and modernization have had a great impact on village landscapes. As an important aspect of traditional...

Full description

Bibliographic Details
Main Authors: Guodong Chen, Xinyu Sun, Wenbo Yu, Hao Wang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/11/8/1133
_version_ 1797432043696553984
author Guodong Chen
Xinyu Sun
Wenbo Yu
Hao Wang
author_facet Guodong Chen
Xinyu Sun
Wenbo Yu
Hao Wang
author_sort Guodong Chen
collection DOAJ
description Traditional villages are historically, culturally, scientifically and aesthetically valuable, and a beautiful landscape is the primary embodiment of a traditional village environment. Urbanization and modernization have had a great impact on village landscapes. As an important aspect of traditional village landscapes, creating beautiful public spaces is an effective way to attract tourists and improve the well-being of residents. Landscape aesthetic activities are the result of the interaction between landscape objects and aesthetic subjects. Research on the relationship between the form of traditional village public spaces and subjective aesthetic preferences has long been neglected. This research examined 31 public spaces in traditional villages in the Dongshan and Xishan areas in Lake Taihu, Suzhou. An index system of public spatial forms in traditional villages was created, basic data of spatial forms were collected using a hand-held 3D laser scanner, and the value of the spatial forms index was calculated using R language. The scenic beauty estimation (SBE) method was improved, with the estimation of the beauty of the scenic environment based on VR panorama rather than traditional photo media. Parameter screening was performed using correlation analysis and full subset regression analysis, and four models were used to fit the SBE scores and grades. The results show that the majority of public spaces had lower than average SBE scores, and the four key indicators of average contour upper height, solid-space ratio, vegetation cover, and comprehensive closure predicted SBE. In addition, the linear model (R<sup>2</sup> = 0.332, RMSE = 64.774) had the most accurate SBE level prediction and the stochastic forest model (R<sup>2</sup> = 0.405, RMSE = 63.311) was better at predicting specific SBE scores. The model provides managers, designers, and researchers with a method for the quantitative evaluation of visual landscape preferences and quantitative landscape spatial forms and provides a reference for the protection and renewal of traditional village landscapes.
first_indexed 2024-03-09T09:54:33Z
format Article
id doaj.art-9ddd38844c6f4aba9f9d4f43a6a31294
institution Directory Open Access Journal
issn 2073-445X
language English
last_indexed 2024-03-09T09:54:33Z
publishDate 2022-07-01
publisher MDPI AG
record_format Article
series Land
spelling doaj.art-9ddd38844c6f4aba9f9d4f43a6a312942023-12-01T23:53:10ZengMDPI AGLand2073-445X2022-07-01118113310.3390/land11081133Analysis Model of the Relationship between Public Spatial Forms in Traditional Villages and Scenic Beauty Preference Based on LiDAR Point Cloud DataGuodong Chen0Xinyu Sun1Wenbo Yu2Hao Wang3College of Landscape Architecture, Nanjing Forestry University, 159 Longpan Rd., Nanjing 210037, ChinaCollege of Forestry, Nanjing Forestry University, 159 Longpan Rd., Nanjing 210037, ChinaCollege of Landscape Architecture, Nanjing Forestry University, 159 Longpan Rd., Nanjing 210037, ChinaCollege of Landscape Architecture, Nanjing Forestry University, 159 Longpan Rd., Nanjing 210037, ChinaTraditional villages are historically, culturally, scientifically and aesthetically valuable, and a beautiful landscape is the primary embodiment of a traditional village environment. Urbanization and modernization have had a great impact on village landscapes. As an important aspect of traditional village landscapes, creating beautiful public spaces is an effective way to attract tourists and improve the well-being of residents. Landscape aesthetic activities are the result of the interaction between landscape objects and aesthetic subjects. Research on the relationship between the form of traditional village public spaces and subjective aesthetic preferences has long been neglected. This research examined 31 public spaces in traditional villages in the Dongshan and Xishan areas in Lake Taihu, Suzhou. An index system of public spatial forms in traditional villages was created, basic data of spatial forms were collected using a hand-held 3D laser scanner, and the value of the spatial forms index was calculated using R language. The scenic beauty estimation (SBE) method was improved, with the estimation of the beauty of the scenic environment based on VR panorama rather than traditional photo media. Parameter screening was performed using correlation analysis and full subset regression analysis, and four models were used to fit the SBE scores and grades. The results show that the majority of public spaces had lower than average SBE scores, and the four key indicators of average contour upper height, solid-space ratio, vegetation cover, and comprehensive closure predicted SBE. In addition, the linear model (R<sup>2</sup> = 0.332, RMSE = 64.774) had the most accurate SBE level prediction and the stochastic forest model (R<sup>2</sup> = 0.405, RMSE = 63.311) was better at predicting specific SBE scores. The model provides managers, designers, and researchers with a method for the quantitative evaluation of visual landscape preferences and quantitative landscape spatial forms and provides a reference for the protection and renewal of traditional village landscapes.https://www.mdpi.com/2073-445X/11/8/1133landscape architecturespatial formspatial quantificationscenic beauty estimation (SBE)point cloud data
spellingShingle Guodong Chen
Xinyu Sun
Wenbo Yu
Hao Wang
Analysis Model of the Relationship between Public Spatial Forms in Traditional Villages and Scenic Beauty Preference Based on LiDAR Point Cloud Data
Land
landscape architecture
spatial form
spatial quantification
scenic beauty estimation (SBE)
point cloud data
title Analysis Model of the Relationship between Public Spatial Forms in Traditional Villages and Scenic Beauty Preference Based on LiDAR Point Cloud Data
title_full Analysis Model of the Relationship between Public Spatial Forms in Traditional Villages and Scenic Beauty Preference Based on LiDAR Point Cloud Data
title_fullStr Analysis Model of the Relationship between Public Spatial Forms in Traditional Villages and Scenic Beauty Preference Based on LiDAR Point Cloud Data
title_full_unstemmed Analysis Model of the Relationship between Public Spatial Forms in Traditional Villages and Scenic Beauty Preference Based on LiDAR Point Cloud Data
title_short Analysis Model of the Relationship between Public Spatial Forms in Traditional Villages and Scenic Beauty Preference Based on LiDAR Point Cloud Data
title_sort analysis model of the relationship between public spatial forms in traditional villages and scenic beauty preference based on lidar point cloud data
topic landscape architecture
spatial form
spatial quantification
scenic beauty estimation (SBE)
point cloud data
url https://www.mdpi.com/2073-445X/11/8/1133
work_keys_str_mv AT guodongchen analysismodeloftherelationshipbetweenpublicspatialformsintraditionalvillagesandscenicbeautypreferencebasedonlidarpointclouddata
AT xinyusun analysismodeloftherelationshipbetweenpublicspatialformsintraditionalvillagesandscenicbeautypreferencebasedonlidarpointclouddata
AT wenboyu analysismodeloftherelationshipbetweenpublicspatialformsintraditionalvillagesandscenicbeautypreferencebasedonlidarpointclouddata
AT haowang analysismodeloftherelationshipbetweenpublicspatialformsintraditionalvillagesandscenicbeautypreferencebasedonlidarpointclouddata