Urban green spaces (UGS) are an important foundation for supporting sustainable urban development and benefiting the well-being of residents. However, access to green spaces is a complex and dynamic process. Existing studies have mainly used a single method to assess UGS accessibility, and research on influencing factors has less focused on a multi-variable perspective. In this study, we innovatively integrated four methods—Container, Distance, Gravity, and 2SFCA—to assess UGS accessibility at the LSOA level in Inner London. We examined the impact of urban land use patterns, green space types, and individual characteristics on UGS accessibility. Then, Spearman's correlation analysis and the Ordinary Least Squares (OLS) regression model were used to check the relationship between multiple variables with UGS accessibility. The main findings are as follows: (1) The UGS accessibility results based on the multi-method reflect the variation in the distribution of UGS in Inner London, with more than 80% of LSOAs having below-average UGS accessibility; (2) UGS accessibility is significantly influenced by multiple factors, particularly race, income, education, crime, office, residential, and non-park (multiple green space types beyond parks). This study highlights inequalities in UGS accessibility and suggests strategies for policymakers to improve the integration of UGS in urban planning.

中文翻译：

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城市绿地可达性的多方法分析：土地利用、绿化类型和个体特征因素的影响


城市绿地（UGS）是支持城市可持续发展、造福居民福祉的重要基础。然而，进入绿色空间是一个复杂且动态的过程。现有研究主要采用单一方法评估地下储气库可达性，对影响因素的研究较少关注多变量视角。在这项研究中，我们创新性地整合了四种方法——容器法、距离法、重力法和 2SFCA——来评估伦敦内城 LSOA 级别的地下储气库可达性。我们研究了城市土地利用模式、绿地类型和个体特征对地下储气库可达性的影响。然后，使用Spearman相关分析和普通最小二乘（OLS）回归模型检查多个变量与UGS可达性之间的关系。主要研究结果如下：（1）基于多方法的UGS可达性结果反映了伦敦内城区UGS分布的变化，超过80%的LSOA的UGS可达性低于平均水平； (2) UGS 的可达性受到多种因素的显着影响，特别是种族、收入、教育、犯罪、办公、住宅和非公园（公园以外的多种绿地类型）。本研究强调了地下储气库可达性的不平等，并为政策制定者提出了改善地下储气库与城市规划一体化的策略。