Abstract
Mobile data are a feasible way for us to understand and reveal the feature of human mobility. However, it is extremely hard to have a fine-grained picture of large-scale mobility data, in particular at an urban scale. Here, we present a large-scale dataset of 2-million mobile phone users with time-varying locations, denoted as the temporal network of individuals, conducted by an open-data program in Changchun Municipality. To reveal human mobility across locations, we further construct the aggregated mobility network for each day by taking cellular base stations as nodes coupled by edges weighted by the total number of users’ movements between pairs of nodes. The resulting temporal network of mobile phone users and the dynamic, weighted and directed mobility network are released in simple formats for easy access to motivating research using this new and extensive data of human mobility.
Highlights
Background & SummaryBuilding on advances in fields such as the wireless communication and high-performance computation, scientists are enabled to collect position information of individuals accessing human movements
One file denotes the temporal network with rows of hourly staying location in a day for each mobile phone user
Another one represents the mobility network, contains three columns ordered by origin location, destination location, and their weight
Summary
Building on advances in fields such as the wireless communication and high-performance computation, scientists are enabled to collect position information of individuals accessing human movements. The dataset contains the movements of over 2,066,000 anonymized mobile phone users in each day between 7,251 cellular base stations in Changchun municipality area during a one-week period since 3 July 2017. This municipality area comprising seven districts had the population of over 4,378,000 in an area of 7,557 square kilometers in 2016, which is the core city of Northeast Asia (http://www.china.org.cn/english/features/43592.htm). One file denotes the temporal network with rows of hourly staying location in a day for each mobile phone user. Another one represents the mobility network, contains three columns ordered by origin location, destination location, and their weight. Researchers should be aware of this potential limitation using this dataset
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
