The integration of Geographic Information Systems (GIS) into sustainability studies is crucial
for advanced urban planning and ecological management. This study explores the distribution
and accessibility of urban green spaces as critical ecological services, particularly in the context
of post-pandemic recovery and urban resilience. Utilizing a comprehensive spatial database, this
research involves the extraction of Point of Interest (POI) data specific to green spaces within Yangzhou,
a representative city in the Yangtze River Delta, China. The analysis employs the two-step floating
catchment area (2SFCA) method to quantitatively assess green space accessibility for local residents.
Our findings reveal pronounced disparities in green space accessibility between urban and peri-urban
zones, highlighting substantial environmental inequity. These disparities suggest a need for targeted
urban planning interventions. By employing a multi-modal evaluation framework, this study not only
underscores the variations in urban green space accessibility but also proposes GIS-based strategies for
enhancing spatial planning at both micro and macro urban scales. The outcomes serve as a foundational
tool for policymakers to devise more equitable distributions of ecological services, thereby fostering
sustainable urban ecosystems and enhancing the quality of life for all city dwellers.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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Coupling Mechanisms and Optimization of Urban Green Space Equity and Income Distribution Based on Multi-Source Big Data: A Case Study of Beijing Hao Wang, Dongwei Tian, Yuhang Zhang, zhang jinxiao, Yipeng Wang
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