Abstract: As a symbol of urban culture, meaning and emotion, “scene” is a concept beyond the physical space.In the context of the knowledge economy, urban scene is an abstract concept describing culture, values and lifestyle generated by the combination of amenities.It is regarded to attract high-quality human capital and thus is the endogenous driving force of the economy and urban development.Therefore, accurately grasping the state and spatial distribution of urban scenes is an essential dimension of urban development.Several studies have mapped urban scenes based on the scale of the whole city or region, such as ZIP code tabulation area via official commercial codes or Dianping data.This study attempts to propose a methodological framework to achieve fine-grained mapping of urban scenes based on POI data and statistical methods.Scenes in Shenzhen are estimated, and the results show that the main scenes of Shenzhen are corporate, formality, exhibitionism, fashion and transgression.Moreover, three scenes patterns are presented, which may come from work, residential and creative entertainment spaces, respectively.In general, a practical methodological framework is proposed to map finer-grained scenes in cities, which is conducive to a more profound understanding and accurate identification of urban scenes and brings inspiration for urban development.

Key words: Amenities, Mapping, POI, Scenes