Abstract

ABSTRACT The scarcity of public resources and environmental pollution caused by rapid urbanization highlight the practical significance of parks in ensuring the sustainable development of a city. Therefore, the social equity of parks warrants further study. This paper proposes a fine-grained comprehensive evaluation framework that combines geographic accessibility models, geo-statistical analysis, and machine learning algorithms to explore social inequity in Taiyuan, China. In this framework, gini coefficient and lorentz curve express spatial equality, accessibility shows spatial equity, and ridge regression model handles the interdependence of variables with different dimensions to quantify the relative effects of local participants on changes in park accessibility. On this basis, the imbalance between vulnerable groups and park supply is analyzed to further understand the core concept of social equity. Results highlight serious spatial inequality in all three types of parks allocation of six urban areas, especially in community parks. The actual access level of people to parks is also stratified by their demographic and socioeconomic characteristics, revealing the social inequity in access to parks. Park distribution is indeed not conducive to some social vulnerable groups, whose contradiction between supply and demand is highly prominent in urban – rural junctions and new urban areas. This paper also confirms the unfair layout of public facilities can be observed in second-tier cities of China by highlighting the social inequity of parks in Taiyuan. The findings of this work have profound implications for urban planning and sustainable development.

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