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The well-being of individuals in a crowd is interpreted as a product of thecrossover of individuals from heterogeneous communities, which may occur viainteractions with other crowds. The index moving-direction entropycorresponding to the diversity of the moving directions of individuals isintroduced to represent such an inter-community crossover. Multi-scale movingdirection entropies, composed of various geographical mesh sizes to compute theindex values, are used to capture the information flow owing to human movementsfrom/to various crowds. The generated map of high values of multiscale movingdirection entropy is shown to coincide significantly with the preference ofpeople to live in each region.

Generating a Map of Well-being Regions using Multiscale Moving Direction Entropy on Mobile Sensors