Abstract
For future transportation in smart cities, boarding type personal mobility is considered promising. On introducing such mobility in community, sharing is more prospective than owing them. In this paper, we aim at considering expected change of human behavior, including transportation means, by introducing such mobility in society using multiagent simulation. In the hope of large scale demand prediction and optimal planning of both location and capacity of the personal mobility stations, we have developed an initial prototype simulator. We present some results obtaind by preliminary simulation.
