Abstract：The spatial equity of urban park distribution is of great significance for constructing a fair and inclusive urban park
system. With the support of multi-source big data, this paper comprehensively applied buffer analysis, kernel density
analysis, Lorenz curve, and Gini coefficient to explore the supply and demand between parks and residential areas at
different levels, quantitatively measured the equity of urban park distribution from spatial and social perspectives, and
proposed optimization strategies. The results of the study show that the spatial distribution of parks in Hefei presents a
pattern of “five cores, two clusters, and many points” and “more in the north and fewer in the south”. The service radius
of the four types of parks covers the residential areas, and the residential areas have blind areas within 500 m. The
Gini coefficient of per capita park green area in administrative districts and streets is 0.5347 and 0.8047, respectively,
showing significant inequity in the distribution of parks. Finally, the research puts forward the concrete optimization
schemes and strategy suggestions. The research can provide theoretical and practical reference for the planning and
construction of urban park system.
