Multi-agent simulation on relationship between individuals' travel behavior and residential choice behavior

In this paper, we proposed a simple urban model including individuals' travel behavior and residential choice behavior. Multi-agent simulation framework is described. We performed several experiments to evaluate political measures which will solve environmental problems. As a result, drastic mobility management scheme increased the number of travelers using a train, and the distribution of residences became compact. However, it also increased many agents' total costs of living because of high rent and several kinds of cost including time cost and fatigue cost to reach a station. On the other hand, raising gas price made CO2 emission less and kept total cost of living lower than the drastic mobility management measure. This suggests that to have people use train or bus by changing their attitude might be socially more expensive than to make people chose whether they use car or not under the condition that gas price is raised.