Exploring the relationship between spatial morphology characteristics and scenic beauty preference of landscape open space unit by using point cloud data

Wang, Yijing; Zlatanova, Sisi; Yan, Jinjin; Huang, Ziqiao; Cheng, Yin-Hui

doi:10.1177/2399808320949885

Cited by 14 publications

(11 citation statements)

References 44 publications

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“…Recently, quantitative research surfaced which added further support for three of the tendencies found by the present article. Tall buildings and skylines can be statistically traced back to oppressive sensations for the viewer (Asgarzadeh et al, 2012) and smaller scenic beauty (Wang et al, 2021). Those authors also found that higher proportions of vegetation and the presence of trees mitigate the aforementioned negative effects.…”

Section: Discussionmentioning

confidence: 99%

“…Of the quantitative studies, only Calafiore (2020) and Li et al (2021) used field data to obtain a pleasantness indicator, respectively, a beauty index and a street quality index. Quantitative work exists on the impact of isolated geometric elements on pleasantness (Asgarzadeh et al, 2012; D’Acci, 2014; Lee, 2021; Wang et al, 2021), but none of these works have evaluated the combined landscape at the neighborhood scale. Thus, the literature on quantitative evaluation of layout pleasantness is very much in its infancy.…”

Section: Introductionmentioning

confidence: 99%

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The impact of geometric and land use elements on the perceived pleasantness of urban layouts

Sousa

Monteiro²,

Natividade-Jesus

et al. 2022

Environment and Planning B: Urban Analytics and City Science

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This article presents a model to estimate the impact of geometric and land use elements on citizens’ perception of urban layout pleasantness. An ordinal regression cumulative link mixed model with those elements as regressors is proposed and calibrated using data from an online survey. Results show that landscape building height and density of green areas are the factors that most impact the perception of pleasantness. Based on the model, a methodology to derive pleasantness mean scores for a city is also proposed and applied to a case study. The methodology allows for benchmarking the pleasantness of different cities or comparing neighborhoods within a city. It can be used both as an urban evaluation tool and a decision-aid for city expansion programs.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The impact of geometric and land use elements on the perceived pleasantness of urban layouts

Sousa

Monteiro²,

Natividade-Jesus

et al. 2022

Environment and Planning B: Urban Analytics and City Science

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show abstract

“…In this paper, the spatial 3D model obtained by oblique photography is exported in the format of point cloud. The point cloud data can be classified, edited, segmented, and extracted, which provides the possibility for the extraction of structural elements (Urech et al, 2020; Wang et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Exploring the construction and analysis method of landscape spatial structure based on complex networks

Wang,

Cheng,

Cheng

et al. 2023

Environment and Planning B: Urban Analytics and City Science

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Complex network theory proposes a structural network model that abstracts the elements in a complex system into nodes and the relationship between elements into ties, which proved to be a scientific method to study the structural system of complexities. This article aims to apply the complex network theory to interpret the organization of landscape spatial structure and propose a spatial structure network construction and quantitative analysis method suitable for landscape space. The following two questions are addressed in this research: (1) How to extract the structural elements from the landscape space and realize the construction of the structural network model based on the 3D spatial information? (2) How to quantitatively analyze the organization characteristics of a spatial structure according to the particularity of landscape space? The research content of this article includes the following five aspects, which are 3D spatial information acquisition, structural element extraction, structural element description, structural network model diagramming, and quantitative index selection. Taking Nanjing Lovers Park as an example, the feasibility of this method is verified. The results show that the method proposed can guarantee the accuracy of the landscape spatial structure model, visualize the attributes of structural elements, and achieve a refined analysis of the structure organization.

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“…They offer means to create and maintain realistic digital city models. Light Detection and Ranging (LiDAR) or photogrammetry offers point clouds with reliable spatial information for a wide range of built environment applications already (Sepasgozar et al, 2016;Wang et al, 2020a;Wang et al, 2021b;Xu et al, 2021c). Supported by advanced technology, now it is possible to reconstruct 3D realistic tree models from point clouds (Barton et al, 2020;Boufidou et al, 2011;Eusuf et al, 2020;Homainejad et al, 2022;Wang et al, 2020b).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Performance of High Level-of-Detail Tree Models in Microclimate Simulation

Wang²,

Shen³

et al. 2022

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Present urbanization influences urban morphology by the increasing number of dense buildings and infrastructure, which effects climate change. Microclimate simulations including urban vegetation help in mitigating climate change. Most of existing microclimate simulations simplify trees and thereby may introduce some erroneous estimates. Tree models of high levels of detail (LOD) can provide a more accurate measure. Technology advances make it possible to reconstruct detailed tree models, which can be further used in microclimate simulations. However, the few studies presenting detailed tree models focus predominantly on the reconstruction process and omit the microclimate simulations. The objective of this study is to investigate high LOD tree models in microclimate simulation to estimate the potential gain in accuracy. This study focuses on voxel-based tree models and microclimate simulations using computer fluid dynamics software. A series of microclimate simulations are completed in two scenarios, which are single tree and a set of trees with buildings. Based on the simulation results, the advantages of detailed voxel tree models are demonstrated. Final discussion elaborates on the needed and preferred levels of detail for tree models.

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Exploring the relationship between spatial morphology characteristics and scenic beauty preference of landscape open space unit by using point cloud data

Cited by 14 publications

References 44 publications

The impact of geometric and land use elements on the perceived pleasantness of urban layouts

The impact of geometric and land use elements on the perceived pleasantness of urban layouts

Exploring the construction and analysis method of landscape spatial structure based on complex networks

Evaluating the Performance of High Level-of-Detail Tree Models in Microclimate Simulation

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