Positive or Negative Viewpoint Determines the Overall Scenic Beauty of a Scene: A Landscape Perception Evaluation Based on a Panoramic View DOI Open Access
Yue Chen, Qikang Zhong, Bo Li

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(14), P. 11458 - 11458

Published: July 24, 2023

In the contemporary world, swift advancement of urbanization, pressing need for environmental conservation, and humanity’s unyielding quest a better quality life have jointly underscored escalating importance research on landscape aesthetics perceptual experiences. Researchers often evaluated overall scene’s beauty based photos taken from single viewpoint. However, it has been observed that different viewpoints same scene can lead to varying degrees perception. Some positive highlight features contribute preferences, while negative emphasize aspects may evoke discomfort decrease perceived beauty. Therefore, crucial question arises: which viewpoint, or negative, holds more influence over scene? This paper aimed address this by utilizing panoramic map technology establish perception evaluation model. The model was empirical evidence various spatial scenes along Yaozijian Ancient Road in Anhua County, encompassing towns villages. study analyzed functional relationship between factors, viewpoints, degree scenic It found (1) is difficult reflect (OSBS) viewpoint photo, both significant effects OSBS. case study, effect (PVSB) OSBS greater; (2) PVSB had major with high visual hierarchy cloud ratio low type vegetation proportion man-made objects; (3) (NVSB) landscape. results reveal factors OSBS, be applied planning design processes.

Language: Английский

A Campus Landscape Visual Evaluation Method Integrating PixScape and UAV Remote Sensing Images DOI Creative Commons
Lili Song,

Moyu Wu

Buildings, Journal Year: 2025, Volume and Issue: 15(1), P. 127 - 127

Published: Jan. 3, 2025

Landscape, as an important component of environmental quality, is increasingly valued by scholars for its visual dimension. Unlike evaluating landscape quality through on-site observation or using digital photos, the visualization modeling method supported unmanned aerial vehicle (UAV) photography, geographic information System (GIS), and PixScape has advantage systematically scanning space. The data acquisition convenient fast, resolution high, providing a new attempt analysis. In order to explore application visibility based on high-resolution UAV remote sensing images in evaluation, this study takes campus example uses basic source analyze differences between planar tangent provided 1.2 software modeling. Six evaluation factors, including Naturalness (N), Normalized Shannon Diversity Index (S), Contagion (CONTAG), depth (SD), Depth Line (DL), Skyline (SL), are selected evaluate vision four viewpoints analytic hierarchy process (AHP) method. results indicate that considers impact vertical amplitude distance viewpoints, which more line with real perception human eyes. addition, objective quantitative metrics can reflect landscapes from different have good applicability evaluation. It expected research enrich system provide technical references it.

Language: Английский

Citations

0

Real-Time Sensor-Based and Self-Reported Emotional Perceptions of Urban Green-Blue Spaces: Exploring Gender Differences with FER and SAM DOI Creative Commons
Xuan Zhang, Haoying Han, Guoqiang Shen

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(3), P. 748 - 748

Published: Jan. 26, 2025

Urban green-blue spaces (UGBS) are increasingly recognized for their benefits to physical and mental well-being. However, research on real-time gender-specific emotional responses UGBS remains limited. To address this gap, a dual-method approach combining facial expression recognition (FER) self-reported measures investigate gender differences in evaluations of was developed. Using static images from Google Street View as stimuli, self-reporting experiment involving 108 participants provided insights into subjective experiences. Subsequently, FER experiment, utilizing 360-degree video captured over two million data points, validating the feasibility advantages emotion monitoring. The findings revealed distinct patterns: women experienced stronger pleasant emotions preferred scenes evoking higher arousal, while men demonstrated sharper rated with peak valence more favorably. Grass elicited relaxation delight arousal men, whereas blue induced calmness across genders, reporting greater water content increased. study underscores potential technology assessing responses, providing actionable inclusive urban planning. By integrating advanced tools participatory design approaches, planners can develop strategies that enhance well-being create livable cities support diverse user needs.

Language: Английский

Citations

0

Understanding the visual perception and environmental impressions of tourists’ experiences in Suzhou’s modern gardens in China DOI Creative Commons
Wenjie Liu, Huan Li, Woon Chia Liu

et al.

Cogent Arts and Humanities, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 23, 2025

Language: Английский

Citations

0

Immersive virtual reality and computer vision for heritage: visual evaluation and perception of the industrial heritage sites along the Yunnan–Vietnam railway (Yunnan section) DOI Creative Commons
Yingxue Wang,

Shuoyi Wang,

Yue Pan

et al.

Heritage Science, Journal Year: 2024, Volume and Issue: 12(1)

Published: Feb. 2, 2024

Abstract The visual composition and human perception are found to relate the reuse tourism of heritage railways. Previous studies have used either environmental audits on-site interviews that limitations in terms cost, time, measurement scale, or virtual base on two-dimension images but with gaps interactivity, immersion field view. This study developed an “objective + subjective” evaluation framework integrating Computer Vision (CV) Immersive Virtual Reality (IVR) assess quality industrial sites along Yunnan-Vietnam Railway (Yunnan Section). stepwise multiple linear regression models were carried out investigate relationship between objective subjective perception. results showed 16 landscape elements successfully segmented. According score bands, 120 classified as 39 high-score sites, 66 medium-score 15 low-score sites. In general, although sky hard ground accounted for a higher proportion, they had little effect sum scores, while vegetation, water, buildings played significant role quality. can help researchers, planners, government departments clarify scientifically specify bottom-up planning management solutions railway Moreover, simplicity, accuracy, effectiveness this make it suitable large-scale other

Language: Английский

Citations

3

Assessing the landscape visual quality of urban green spaces with multidimensional visual indicators DOI
Chong Liu, Tzu-Yang Wang, Takaya Yuizono

et al.

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: unknown, P. 128727 - 128727

Published: Feb. 1, 2025

Language: Английский

Citations

0

Evaluation of Thermal Comfort in Urban Commercial Space with Vision–Language-Model-Based Agent Model DOI Creative Commons
Dongyi Zhang,

Zihao Xiong,

Xun Zhu

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 786 - 786

Published: April 6, 2025

Thermal comfort in urban commercial spaces significantly impacts both business performance and public well-being. Traditional evaluation methods relying on field surveys expert assessments are often time-consuming labor-intensive. This study proposes a novel vision–language model (VLM)-based agent system for thermal assessment spaces, simulating eight distinct heat-sensitive roles with varied demographic backgrounds through prompt engineering using ChatGPT-4o. Taking Harbin Central Street, China as case study, we first validated accuracy ASHRAE scale evaluations of 30% samples (167 images) by 50 experts, then conducted simulations followed spatial interpretability analyses. Key findings include (1) significant correlation between VLM (r = 0.815, p < 0.001), confirming method feasibility; (2) notable heterogeneity across agents, demonstrating the VLMs’ capacity to capture perceptual differences among social groups; (3) analysis revealing higher eastern regions compared western central areas despite inter-role variations, consistency agents; (4) shade vegetation being identified primary influencing factors that contribute agent’s decision making. research validates VLM-based agents’ effectiveness evaluation, showcasing their dual capability replicating traditional while capturing group differences. The proposed approach establishes paradigm efficient, comprehensive, multi-perspective environments.

Language: Английский

Citations

0

Scaling up natural experimental studies: harnessing emerging technologies to transform physical activity and built environment research DOI Creative Commons
Jack S. Benton, Marilyn E. Wende, Declan J. Ryan

et al.

International Journal of Behavioral Nutrition and Physical Activity, Journal Year: 2025, Volume and Issue: 22(1)

Published: April 11, 2025

Language: Английский

Citations

0

Designing effective image-based surveys for urban visual perception DOI
Youlong Gu, Matías Quintana, Xiucheng Liang

et al.

Landscape and Urban Planning, Journal Year: 2025, Volume and Issue: 260, P. 105368 - 105368

Published: April 17, 2025

Language: Английский

Citations

0

A comparative study of the perception of traditional villages between different media DOI Creative Commons

Xinhui Fei,

Yuanjing Wu,

Minhua Wang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 8, 2025

Nowadays, more and people choose to go the traditional villages with beautiful scenery relaxing atmosphere relax relieve stress due unique cultural background environmental of villages, which well met public's aesthetic value landscape environment. Previous research has primarily focuses on villages' history, background, rural land planning, ancient architecture other directions. However, relatively few studies have explored public perception village landscape. Existing are usually limited a single-field study or laboratory study, medium used show remain simple. Therefore, this investigates perceptions space using an experimental approach. It examines how subjects perceive landscapes two-dimensional (2D) displays, three-dimensional (3D) VR five media representing landscapes: real scenes, photographs, videos, 2D panoramas, 3D panoramas. The advantages, limitations, feasibilities various combinations representations analyzed determine optimal methods for evaluation. results demonstrate that combination significantly influences evaluations by affecting subjects' perceptions. degree is highly significant mediating factor. displays 720° panoramas provides best agreement between laboratory-based findings real-world environments, regardless type. This paper summarizes data under media, compares analyzes results, aim provide most suitable reference scheme future in related fields.

Language: Английский

Citations

0

Assessing the relationship between urban park spatial features and physical activity levels in Residents: A spatial analysis Utilizing drone remote sensing DOI Creative Commons
Ran Zhang, Lei Cao, Lei Wang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112520 - 112520

Published: Aug. 28, 2024

The park environment is crucial for promoting physical activity (PA). While numerous studies show that environments influence PA behavior, inconsistencies remain, likely due to varing research methods and parks types. This study employs a fixed spatial grid method systematically sample four representative in Tianjin, China. High-precision orthophoto map (DOM) data from drones provided detailed environmental attributes (like tree canopy area, lawn paved area) characteristics (number of participants, intensity, diversity). results show: 1) Cluster analysis grouped 1839 grids into 12 attribute integrations, each correlating with different characteristics. "Tree-lined jogging corridors" "Large sports field areas" exhibit the highest while "Entrance plazas", "Central plazas," "Open spaces" have number participants diversity. 2) Correlation shows various attributes, including Lawn Area, Paved are significantly correlated 3)Random Forest indicates key area diversity, specialized facilities intensity. These findings support urban green space planning highlight importance better public health.

Language: Английский

Citations

3