Modeling the Effect of Greenways’ Multilevel Visual Characteristics on Thermal Perception in Summer Based on Bayesian Network and Computer Vision DOI Creative Commons

Yongrong Zheng,

Siren Lan, Jiayi Zhao

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1796 - 1796

Published: Oct. 31, 2024

The aim of this study is to reveal the effects multilevel visual characteristics greenways on thermal perception in hot and humid regions during summer explore potential design enhance psychological comfort. Data light (L), color (C), plant richness (PR), space openness (SO), scenic view (SV), sensation (TS), preference (TP) were collected through questionnaires (n = 546). Computer vision technology was applied measure green index (GVI), sky (SVI), paving (PI), spatial enclosure (SE), water (WI). Using hill climbing algorithm R construct a Bayesian network, model validation results indicated prediction accuracies 0.799 for TS 0.838 TP. showed that: (1) SE, WI, SV significantly positively influence TS, while L negatively influences (R2 0.6805, p-value < 0.05); (2) TP 0.759, 0.05).

Language: Английский

Summer outdoor thermal comfort evaluation of urban open spaces in arid-hot climates DOI
Yuan Su,

Zhirui Wu,

Weijun Gao

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 321, P. 114679 - 114679

Published: Aug. 17, 2024

Language: Английский

Citations

6
A comprehensive review of thermal comfort evaluation methods and influencing factors for urban parks DOI
Peiping Zheng, Runming Yao, James O’Donnell

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112159 - 112159

Published: Oct. 1, 2024

Language: Английский

Citations

5
Mediating effect of air pollution on urban morphology and air temperature DOI
Jiayu Fan, Xuegang Chen, Siqi Xie

et al.

Atmospheric Pollution Research, Journal Year: 2025, Volume and Issue: unknown, P. 102426 - 102426

Published: Jan. 1, 2025

Language: Английский

Citations

0
Study on the Microclimate and Thermal Comfort of Urban Parks under Arid Climate Conditions: A Case Study of Shihezi City DOI Creative Commons
Jie Li, Zhao Zhao, Hong Chen

et al.

Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 106196 - 106196

Published: April 1, 2025

Language: Английский

Citations

0
Unravelling key environmental factors influencing urban park visits: Thermal comfort and air quality DOI
Fujie Rao,

Peiru Xiao,

Yang Zhang

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 57, P. 102096 - 102096

Published: Aug. 23, 2024

Language: Английский

Citations

1
Assessing Buffer Gradient Synergies: Comparing Objective and Subjective Evaluations of Urban Park Ecosystem Services in Century Park, Shanghai DOI Creative Commons

Weixuan Wei,

Yiqi Wang,

Yan Qi

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1848 - 1848

Published: Nov. 6, 2024

Urban parks provide essential ecosystem services (ESs) that enhance human wellbeing. However, discrepancies often arise between objective assessments of these and stakeholders’ subjective perceptions. This study addresses a research gap concerning the synergies tradeoffs evaluations perceptions key across various spatial scales. We investigated six in Century Park, Shanghai, seven buffer radii (8–100 m). Objective data were obtained from park view images (PVIs) analysis, while gathered through scoring survey 33 stakeholders. The finding is radius 35 m offers optimal synergy for most ESs, particularly pollution mediation, temperature regulation, cultural services. Professionals showed stronger alignment regulatory like mediation residents exhibited higher net primary production (NPP) beyond 75 radius. Notably, displayed nuanced differences, with professionals preferring simpler landscapes demonstrating varied aesthetic preferences. These findings emphasize importance integrating urban green space planning governance. By incorporating diverse stakeholders identifying zones, planners designers can effectively balance ESs experiences. approach ultimately fosters more sustainable wellbeing-centered environments.

Language: Английский

Citations

1
Modeling the Effect of Greenways’ Multilevel Visual Characteristics on Thermal Perception in Summer Based on Bayesian Network and Computer Vision DOI Creative Commons

Yongrong Zheng,

Siren Lan, Jiayi Zhao

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1796 - 1796

Published: Oct. 31, 2024

The aim of this study is to reveal the effects multilevel visual characteristics greenways on thermal perception in hot and humid regions during summer explore potential design enhance psychological comfort. Data light (L), color (C), plant richness (PR), space openness (SO), scenic view (SV), sensation (TS), preference (TP) were collected through questionnaires (n = 546). Computer vision technology was applied measure green index (GVI), sky (SVI), paving (PI), spatial enclosure (SE), water (WI). Using hill climbing algorithm R construct a Bayesian network, model validation results indicated prediction accuracies 0.799 for TS 0.838 TP. showed that: (1) SE, WI, SV significantly positively influence TS, while L negatively influences (R2 0.6805, p-value < 0.05); (2) TP 0.759, 0.05).

Language: Английский

Citations

0