Abstract: In the era of big data, big data has become one of the key terms of urban renewal analysis methods, but the research on multi-dimensional support for urban renewal unit planning is absent. On the scale of renewal units, based on the goal orientation of brand benefits, economic benefits, and social benefits, this study carries out multi-dimensional technical exploration such as place cognition, crowd portrait, functional formats, and demand-supply matching of facilities to support the implementation of urban renewal planning. To be specific, three basic problems are focused on in this study: Firstly, based on Weibo check-in data, this study identifies place impression and spatial structure elements such as signs and nodes within the urban renewal unit to derive the guidance of project construction for urban renewal planning; Secondly, this study explores the demographic positioning based on Baidu's population data and researches the relationship between functional formats based on POI data to derive the guidance of the functional improvement of urban renewal planning; Thirdly, this study investigates demand-supply matching of facilities based on POI data and population spatial distribution data to derive the guidance of the facilities of the urban renewal planning. This study provides new perspectives and ways for scientific and refined urban renewal planning decisions.