Abstract: During April 9th to 15th 2022, 119 heat maps were collected from Baidu to quantitative measure the spatiotemporal variation of waterfront area vitality in West Lake of Hangzhou, Zhejiang province. The impact of different factors of waterfront area on vitality was analyzed by multiple linear regression model. The results show that in terms of time, vitality at working days was more rhythmic, while at rest day was obviously delayed and changes more freely. In terms of space, the waterfront spatial vitality presented spatial differentiation, linear distribution and obvious plot characteristics. The internal factors of waterfront area could explain about 47% of the vitality, and the total factors 52.3%. The accessibility, density of cultural facilities, the density of service facilities and the richness of transportation facilities could significantly promote the vitality, while green space rate and the density of slow-moving road network had inhibition effect on the vitality. Suggestions were put forwarded such as strengthening connection with the urban hinterland and improving the internal supporting facilities of the waterfront area, as well as integrating development of the waterfront, maximizing spatial functions, and optimizing the allocation of spatial resources.