Large-Scale Mobile Fitness App Usage Analysis for Smart Health

Abstract

Understanding essential factors that influence urban citizens' workout activities, both aerobic and training, is important for public policy development and city planning. Mobile fitness app usage data, which describes who works out at what time and place, provides a good opportunity to figure out these key factors that influence human workout activities. This article investigates the mobile fitness app usage data from more than 14,000 cellular towers and 4000 users. Based on solid analysis, we find that temporal factors, such as the day of the week and the time of day, affect human workout activities, while location is another key factor. In addition, mobility factors, such as moving range and regularity of mobility, also influence human workout activities. Finally, personal income is another fundamental factor that we find influences human workout activities.