Identifying the Daily Activity Pattern of Community Dynamics Using Digital Footprint

Being able to understand dynamics of human mobility is essential for social management and urban planning. Based on the sociology of community, this paper chooses different types of communities as research objects, and then characterizes human mobility that describes most probable activities associated with them. With the analysis of thousands of digital footprint data in the urban district, we find a strong correlation in daily activity patterns within the group of people who live in the same type of communities. In addition, in further study, we find that they have different habits of going to the park, which correlates with the distance between park and community and the time slot at the same time.