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