Using mobile phone data to explore spatial-temporal evolution of home-based daily mobility patterns in Shanghai

This paper aims at investigating home-based daily mobility patterns in Shanghai. The dataset consists of Data over Signaling (DoS) from 107,100 anonymous mobile phone subscribers in Shanghai over 9 days in different seasons, which contains spatial-temporal information of subscribers. Daily mobility pattern is characterized as motif of the individual's daily trajectory in this paper. Homes of subscribers are recognized with a priori knowledge. Motifs are extracted from each individuals' daily trajectories. In this way, we have revealed the spatial-temporal evolution of home-based daily mobility patterns in Shanghai. We find that the spatial distribution of home-based daily mobility patterns inside the enclosed area of Middle Ring Road in weekdays diffuses to the enclosed area of Outer Ring Road in weekends. However, the spatial distribution of home-based daily mobility patterns in the areas outside Outer Ring Road seems to be invariant to weekdays and weekends and is more active than that inside the enclosed area of Outer Ring Road. These active areas include affordable housing communities, such as New Gucun Big Homeland and Xinkai Homeland. The phenomenon presented in this paper may correlate with socioeconomic factors in different regions of Shanghai and worth further investigation.