Landscape Perception in Cultural and Creative Industrial Parks: Integrating User-Generated Content (UGC) and Electrodermal Activity Insights DOI Open Access
Xuefei Wang, Baohua Zhu, Zhiqi Chen

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9228 - 9228

Published: Oct. 24, 2024

As economic growth and societal shifts reshape urban environments, cultural creative industrial parks are emerging as vital contributors to sustainable development. The design of these landscapes plays a pivotal role in enhancing user satisfaction, increasing spatial attractiveness, promoting eco-friendly practices. This study examines visitor landscape perception preferences the Textile Garment Cultural Creative Industrial Park, located Haizhu District, Guangzhou, through novel methodology combining user-generated content (UGC), deep learning models, outdoor electrodermal activity (EDA) measurements, questionnaire surveys. UGC-based recognition model achieved an accuracy 86.8% was validated against captured questionnaires. Results demonstrate that visitors prefer areas featuring landmarks natural elements, while spaces dominated by human transportation infrastructure less favored. Key such signage, thematic sculptures, brand logos, trees, were identified highly preferred features within park. While EDA experiments revealed significant variations physiological responses across different settings, no strong correlation observed between indicators subjective scores. integrative approach enables comprehensive, objective assessment perception, providing data-driven, user-centered framework for improving parks.

Language: Английский

Assessing the potential for green roof retrofitting: A systematic review of methods, indicators and data sources DOI
Jing Dong, Chunli Li, Ruonan Guo

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106261 - 106261

Published: Feb. 1, 2025

Language: Английский

Citations

0
Coupled Coordination Analysis and Driving Factors of “Water-Carbon-Ecology” System in the Yangtze River Economic Belt DOI Open Access
Jinhang Li, Yuping Han,

Mengdie Zhao

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3566 - 3566

Published: April 15, 2025

Driven by global population growth and resource shortages, the coupled coordinated development of “Water-Carbon-Ecology” (W-C-E) nexus has emerged as a crucial factor for sustainable societal development. This study constructs multidimensional evaluation model W-C-E system in eleven provinces municipalities Yangtze River Economic Belt (YEB), encompassing richness individual systems, coordination between dual robustness tertiary system. We propose “W-C-E Nexus Index” (WCENI) to analyze coupling levels among systems these regions from bottom-up perspective. Utilizing obstacle degree geographical detector model, we explore impact key indicators on The findings reveal following: (1) index three subsystems have increased significantly, while varies widely YEB. (2) During period, WCENI YEB rose 0.351 0.391, indicating an overall upward trend subsystems. Jiangsu recorded highest average value 0.445, topping list regions. (3) interaction pairs driving factors exceeds influence any single factor, with per capita water consumption emerging primary driver YEB, 12.05%. These provide theoretical basis regional management

Language: Английский

Citations

0
A 20-year systematic review of wave dissipation by soft and hybrid nature-based solutions (NbS) DOI

Amy Bredes,

Georgette Tso,

Rachel K. Gittman

et al.

Ecological Engineering, Journal Year: 2024, Volume and Issue: 209, P. 107418 - 107418

Published: Oct. 9, 2024

Language: Английский

Citations

2
Landscape Perception in Cultural and Creative Industrial Parks: Integrating User-Generated Content (UGC) and Electrodermal Activity Insights DOI Open Access
Xuefei Wang, Baohua Zhu, Zhiqi Chen

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9228 - 9228

Published: Oct. 24, 2024

As economic growth and societal shifts reshape urban environments, cultural creative industrial parks are emerging as vital contributors to sustainable development. The design of these landscapes plays a pivotal role in enhancing user satisfaction, increasing spatial attractiveness, promoting eco-friendly practices. This study examines visitor landscape perception preferences the Textile Garment Cultural Creative Industrial Park, located Haizhu District, Guangzhou, through novel methodology combining user-generated content (UGC), deep learning models, outdoor electrodermal activity (EDA) measurements, questionnaire surveys. UGC-based recognition model achieved an accuracy 86.8% was validated against captured questionnaires. Results demonstrate that visitors prefer areas featuring landmarks natural elements, while spaces dominated by human transportation infrastructure less favored. Key such signage, thematic sculptures, brand logos, trees, were identified highly preferred features within park. While EDA experiments revealed significant variations physiological responses across different settings, no strong correlation observed between indicators subjective scores. integrative approach enables comprehensive, objective assessment perception, providing data-driven, user-centered framework for improving parks.

Language: Английский

Citations

1