2005 Volume 6 Pages 91-106
From the perspective of transportation policies, this study first proposes a new indicator, called “travel behavior array pattern (TRAP)”. TRAP is defined based on trip information arranged in the order of occurrence in the context of the widely used person-trip data. Empirical analysis using the data collected at a local Japanese city, shows that the purpose-based TRAPs vary with household attributes and urban structure, and individual attributes and accessibility of transit systems affect the TRAPs based on the sequences of representative travel modes. It is further found that the TRAPs related to transportation nodes are mainly determined by the operation frequencies of main transit systems. Finally, the effectiveness of TRAP is confirmed from the perspective of the policies related to the compactness of urban structure, the elderly society and the efficient use of existing transportation infrastructures.
