How to lead the optimization of parks spatial patterns more comprehensively with the philosophy of green equity: A case of Chengdu

Abstract

The accelerated urbanization process has led to an increasingly prominent phenomenon of the imbalanced distribution of urban green resources. Green equity, as a measure of this distribution issue, aligns with the Sustainable Development Goals advocated by the United Nations. In this study, we select Chengdu, a city with typical characteristics of urbanization in China, as our study area and approach it from the perspective of accessibility, introduce the Theil Green Equity Index to quantify green equity, employ the Support Vector Regression model to scientifically identify and locate potential patterns areas of urban parks, and aim to effectively optimize the spatial patterns of urban parks. The research reveals that although the accessibility of urban parks in Chengdu has significantly improved in recent years, there is still an issue of the uneven distribution of green spaces. Through the optimization solution proposed in the study, it is possible to achieve efficient enhancement of green equity under limited resource conditions. This can significantly reduce the green inequity issues in residents' daily lives caused by the uneven distribution of park resources. This study aims to develop a comprehensive framework for optimizing urban park distribution, providing planners with a scientifically grounded strategy to enhance sustainable development and promote green equity.