Identifying the Determinants of Commuting Travel Mode Choice from Daily Commutation Behavior

Understanding of commuting travel mode choice behavior is crucial for enhancing the effects of transportation demand management (TDM) policies and improving the utilization of mass transits. For the purpose, this paper focused on analyzing the influences of commutation activity on commuting travel mode choice from a viewpoint that commutation activity comprises a series of activities undertaken in the period that starts on departure time from home in the morning and ends at home-returning time in the evening. Several indicators were firstly addressed to represent commutation activity, then by using Person Trip (PT) data of the workers toward CBD in Fukuoka City, the characteristics of commutation activity of the workers using different travel modes were statistically analyzed to identify the determinants influencing workers' travel mode choices. Furthermore, disaggregate logit model was adopted to quantify contributions of the presented indicators to commuting travel mode choice. The results showed that the model of the workers with 2 trips has good fitness whereas the model of the workers with multi-trips should be modified in further study.