Generating a Map of Well-being Regions Using Multi-scale Moving Direction Entropy on Mobile Sensors

Abstract

The well-being of individuals in a crowd is interpreted as a product of individuals crossing over from heterogeneous communities, via interactions with other crowds. Here, the index moving-direction entropy corresponding to the diversity of the moving directions of individuals is introduced to represent such an inter-community crossover and extended with multiscale scopes. Multiscale moving direction entropies, composed of various geographical mesh sizes to compute the index values, are used to capture the flow and interaction of information owing to human movements from/to various crowds. The generated map of high values of multiscale moving direction entropy was visualized, where the peaks coincided significantly with the preference of people to live in each region.