Spatial Agglomeration Mining of Urban Recreational Amenities: the Case of the Greater Bay Area in China

Understanding how urban recreational amenities are agglomerated and clustered with each other is crucial. This paper attempts to reveal the features of such spatial agglomeration patterns by innovatively developing a model termed as spatial agglomeration mining. Based on the case of Greater Bay Area in China, it achieves three conclusions. First, recreational amenities are highly agglomerated rather than evenly distributed at both regional and urban scales. Second, the regional and urban agglomeration patterns are similar in the sense that the agglomeration core is mainly composed of convenience-service amenities, while the periphery is mainly composed of leisure and entertainment amenities. Third, cities with similar size and economic functions share a similar structure, whereas amenities with a larger number do not guarantee a more central position in the clusters. This study sheds light on the general principle's relativeness among amenities for urban investors and managers to make better decisions.