Abstract
In many social phenomena, including the ones related to transportation planning, human behaviors involve positive social interactions and various kinds of travel behaviors tend to conform to the actions of the majority. This paper overviews the method of measuring and modeling social interactions recently developed in microeconometrics, and examines their applicability to travel behavior analysis. In addition, a discrete choice model with enodogenous social interactions is proposed and applied to the micro data of illegal bicycle-parking behavior collected in Metropolitan Tokyo. With the proposed model, the level of optimal policy interventions such as police patrols and/or penalties to achieve the desirable and stable aggregate behaviors are empirically measured and evaluated.
