Cai, Tong2023-07-292023-07-292019978-88-99243-93-7https://hdl.handle.net/20.500.14235/438As an important industry to achieve sustainable economic development, the role of cultural tourism has become increasingly prominent. The concentration and dispersion of various functions in the urban often reflect the distribution of different activities. It has become a crucial topic to consider how to respond to changes of urban function and balance the regional cultural protection and tourism economic development in historical areas for urban studies. In order to realize the comprehensive management and dynamic supervision, the article provides a method for analyzing cultural tourism in historical regions by using big data. In this work, we obtain the POI data of Shaoxing ancient city in China from Gaode map, combine them with GIS spatial analysis function and summarize the spatial distribution. In order to quantitatively identify the urban single and mixed functional area, the article also illustrates a way to reclassify the POI data and use the RGB color method to visualize the functional diversity index. The result shows that (1) With a tendency of decreasing from the road to the periphery, Shaoxing Ancient City function is relatively distributed in the marginal areas rather than in the central parts, especially in the traffic distribution square. (2) It is confirmed that the larger the functional density and diversity, the higher the public awareness of the historical blocks in Shaoxing Ancient City. (3) From the perspective of functional mixing, cultural function shows a high ability to be mixed with the tourism, but the spatial distribution of the two is still relatively discrete, which has not yet formed a good collaboration in Shaoxing Ancient City. (4) Compared with the network electronic map, the quantitative identification method provided by this study is more precise and accurate.encultural tourismdistribution characteristicPOI datahistorical regionArticle3029-3037