Quality Evaluation of Public Spaces in Traditional Villages: A Study Using Deep Learning and Panoramic Images DOI Creative Commons

Shiyu Meng,

Chenhui Liu,

Yuxi Zeng

et al.

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1584 - 1584

Published: Sept. 29, 2024

In the context of rapid urbanization, public spaces in traditional villages face challenges such as material ageing, loss characteristics, and functional decline. The scientific objective assessment quality these is crucial for sustainable development villages. Panoramic images, an important source spatial data, combined with deep learning technology, can objectively quantify characteristics However, existing research has paid insufficient attention to evaluation at micro-scale, often relying on questionnaires interviews, which makes it difficult meet needs planning construction. This study constructs system villages, taking national-level Fangshan District Beijing example, based field research, using panoramic images automatically extract features a combination Analytic Hierarchy Process (AHP) Criteria Importance Through Intercriteria Correlation (CRITIC) methods determine weights indicators applying Technique Order Preference by Similarity Ideal Solution (TOPSIS) method evaluate found that Nanjiao Village Grade I; Shuiyu Liulinshui Village, III; Heilongguan IV there still much room improvement general. results match well public’s subjective perceptions, R2 value 0.832, proving constructed high degree accuracy. provides basis effective tool planning, design, management helps decision-makers better protect utilize them.

Language: Английский

Lighting the Night: Unveiling the Restorative Potential of Urban Green Spaces in Nighttime Environments DOI
Ming Gao, Xun Zhu

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: unknown, P. 128769 - 128769

Published: March 1, 2025

Language: Английский

Citations

1
Exploring the dose-response of landscape preference: A case study in Singapore DOI
Mingyu Zhao, Yatao Zhang

Applied Geography, Journal Year: 2024, Volume and Issue: 170, P. 103357 - 103357

Published: Aug. 5, 2024

Language: Английский

Citations

8
Towards healthy cities: Modeling restorative potential of urban environments by coupling LiDAR-derived 3D metrics with panorama-based online survey DOI
Xudong Zhang, Jinda Qi, Ervine Shengwei Lin

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 106, P. 107497 - 107497

Published: March 26, 2024

Language: Английский

Citations

5
The Impacts of Friendly Designs on the Long-Term Sustainability of Modern Urban Parks DOI Open Access
Yikun Wang, Tessie LiJu Su

Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 830 - 830

Published: Jan. 21, 2025

Comprehensive urban parks should be continuously renewed to sustain their sustainability after being built, as they are vital residents’ quality of life. However, previous studies have focused on a few special groups rather than all age groups. Therefore, understanding citizens’ needs for integrated friendly park designs can facilitate the sustainable development parks. This study aimed gather opinions improvements in and explore impact place attachment. The questionnaires used this were collected from visitors (n = 193) Xuanwu Lake Park September 2024, data subsequently analyzed. found that enhancing design could help increase visitors’ Based tourists’ feedback, our proposed improvement strategies terms exceptionally universally order better promote Enhancing sense attachment effectively is crucial policymakers planners create all-age-friendly renewal environments.

Language: Английский

Citations

0
Combined effects of the visual-thermal environment on restorative benefits in hot outdoor public spaces: A case study in Shenzhen, China DOI
Wen Dong, Donghui Dai, Liu Mei

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112690 - 112690

Published: Feb. 1, 2025

Language: Английский

Citations

0
Integrating Street View Images, Deep Learning, and sDNA for Evaluating University Campus Outdoor Public Spaces: A Focus on Restorative Benefits and Accessibility DOI Creative Commons

Tingjin Wu,

Deqing Lin,

Yi Chen

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 610 - 610

Published: March 13, 2025

The mental health of university students has received much attention due to the various pressures studies, life, and employment. Several studies have confirmed that campus public spaces contain multiple restorative potentials. Yet, space is still not ready meet students’ new need for percetions. Renewal practices integrate multi-issues are becoming more important, further clarification measurement methods optimization pathways also needed. This study applied semantic segmentation technique deep learning model extract feature indicators outdoor based on street view image (SVI) data. subjective evaluation small-scale SVIs was obtained using perceived scale-11 (PRS-11) questionnaire. On this basis, benefit models were established, including explanatory predictive models. used Pearson’s correlation linear regression analysis identify key affecting benefits, XGBoost 1.7.3 algorithm predict scores scale. accessibility results from sDNA then overlayed form a comprehensive assessment matrix restoration benefits dimensions “areas with potential”. In way, three types spatial (LRB-HA, HRB-LA, LRB-LA) sequential orders temporal (short-term, medium-term, long-term) combined propose dual control accessibility. provides methodological guidelines empirical data regeneration promotes efficiency. addition, it can offer positive references neighborhood-scale urban design sustainable development.

Language: Английский

Citations

0
Advances, hotspots, and trends in restorative environment research over the past 30 years: a bibliometric analysis based on the WoS database DOI Creative Commons
Zihan Yang, Zhigang Tu,

Zhongshan Huang

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: March 19, 2025

In the face of mounting pressures in modern society, research into restorative environments has emerged as a crucial field addressing issues related to mental health and environmental wellbeing. This study presents comprehensive bibliometric analysis 919 publications on environment research, spanning from 1993 2024, utilizing VOSviewer CiteSpace for data visualization, based Web Science database. The main objective this is provide scholars researchers with deeper insight current state evolving trends while also pinpointing areas that warrant further investigation. examines patterns across several key dimensions, including publication volume, keywords, journals, academic disciplines, countries, institutions, individual researchers. results highlight following points: (1) Research experienced significant growth since 2014, marked acceleration during COVID-19 pandemic. (2) primary foci include psychology, relationship between nature social wellbeing, urban ecosystems aesthetic health, psychology cognitive restoration emerging most interconnected core themes. (3) Leading journals Journal Environmental Psychology, International Public Health, Frontiers Psychology. (4) fields contributing body are public landscape architecture, planning. (5) United States highest number (212 papers), followed by China (159 Kingdom (90 Sweden (67 Australia (55 papers). (6) Uppsala University prolific institution, 35 publications, Swedish Agricultural Sciences (32 papers) Exeter (24 Finally, restoration, connection identified leading dynamic areas. These findings suggest made strides over past 3 decades poised continue expanding years ahead.

Language: Английский

Citations

0
Analyzing Landscape Preference in Under-Bridge Spaces Based on Different Travel Modes: A Study on Urban Viaduct Landscapes in China DOI
Xing Huang, Chenping Han, Liang Gao

et al.

International Journal of Environmental Research, Journal Year: 2025, Volume and Issue: 19(4)

Published: April 5, 2025

Language: Английский

Citations

0
Perceptual-Preference-Based Touring Routes in Xishu Gardens Using Panoramic Digital-Twin Modeling DOI Creative Commons

Xueqian Gong,

Zhanyuan Zhu, Li Guo

et al.

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 932 - 932

Published: April 25, 2025

Xishu Gardens, an exemplary narrative of classical Chinese gardens, faces challenges in preserving its commemorative spatial structures while accommodating modern visitors’ needs. While trajectory analysis is critical, existing studies struggle to interpret multi-dimensional perception-preference data owing spatiotemporal mismatches multi-source datasets. This study adopted improved Ward–K-medoids hybrid clustering algorithm analyze 885 samples and 34,384 synchronized points capturing emotional valence, cognitive evaluations, dwell time behaviors via panoramic digital twins across three heritage sites (Du Fu Thatched Cottage, San Su Shrine, Wangjiang Tower Park). Our key findings include the following: (1) Axial bimodal patterns: Type I high-frequency looping paths (27.6–68.9% recurrence) drive deep exploration, contrast II linear routes (≤0.5% recurrence), which enable intensive node coverage. (2) Layout-perception dynamics: single-axis layouts maximize behavioral engagement (DFTC), free-form designs achieve optimal emotional-cognitive integration (WTP), multi-axis systems amplify fluctuations (SSS). (3) Spatial preference hierarchy: entrance waterfront zones demonstrate times 20% longer than site averages. Accordingly, proposed model synchronizes peak-hour throughput with off-peak experiential depth using dynamic path allocation algorithms. underscores strong guidance mechanisms supporting tourism management conservation.

Language: Английский

Citations

0
Sustainable tourism at nature-based cultural heritage sites: visitor density and its influencing factors DOI Creative Commons

Xingxing Jia,

Yucheng Xu,

Bing Zhao

et al.

Published: May 15, 2025

Language: Английский

Citations

0