A Comprehensive Approach to Identifying the Supply and Demand of Urban Park Cultural Ecosystem Services in the Megalopolis Area of Shanghai, China

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 455 - 455

Published: Feb. 22, 2025

Urban parks are vital public spaces that provide cultural ecosystem services (CESs) enhance the well-being of city dwellers. As demand for CESs has greatly increased, imbalance between CES supply and become prominent. Accurately identifying whether meets supports urban park planning management. However, supply–demand gap lies not only in quantitative resource deficits, but also spatial mismatch demand. At present, scientific quantification methods comprehensively consider both relationships remain inadequate. To fill this gap, we propose an integrated framework combines analysis to identify CESs, using Shanghai as study area. The consists three major steps: (1) mapping parks; (2) relationship by combining through bivariate with statistics; (3) categorizing into four scenarios based on quantity balance matching, corresponding proposals. results show 136 sub-districts belong space matching type, while 79 belonging imbalanced quantities including 41 mismatching type. Notably, 15 face a situation where is less than Our findings solid basis key areas conflict prioritizing targeted interventions. This approach improves efficiency provision, addresses growing high-quality rapidly urbanizing regions.

Language: Английский

Bridging the Green Space Divide: A Big Data-Driven Analysis of Park Accessibility Inequities in Chinese Megacities Using Enhanced 3SFCA Modeling

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2059 - 2059

Published: Feb. 27, 2025

This study enhances our understanding of urban park accessibility and social equity through a novel methodological framework in Chengdu, China. By improving the three-step floating catchment area (3SFCA) method with space syntax metrics multi-modal transportation analysis, we identify spatial disparities green access. Our methodology, validated Baidu heat map data, demonstrates improved accuracy estimating population demand patterns. Key findings include: (1) The enhanced 3SFCA outperforms traditional approaches predicting accessibility, providing reliable evidence for planning; (2) significant exist across modes, particularly affecting non-motorized transport users; (3) newly developed areas show greater access inequities than established neighborhoods; (4) important mismatches between vulnerable distributions. research provides targeted recommendations reducing all residents, benefiting children elderly populations rapidly urbanizing contexts.

Language: Английский

Urban Design and Pollution using AI: Implications for Urban Development in China

Heliyon, Journal Year: 2024, Volume and Issue: unknown, P. e37735 - e37735

Published: Sept. 1, 2024

Language: Английский