Analysis of Multi-factors Influencing Trip Chain Buildup

Abstract:

travel behavior has evolved to be one of the most important aspects to analyze the travel situation in urban area since then because managers can know of the activities arrangement and their sequence from such analysis. As a result those demand policies figured out by authorities can better aim at different group people. This paper combined the extant literature and experiences to design a questionnaire to capture as many factors influencing trip chain, a common concept describing travel arrangement, as possible in order to completely understand what kinds of factors should be weighted in the policies. Then structure equation modeling technique is applied to finish the confirmatory factor analysis by which those factors with significant impact are identified to consist of the factor set. Meantime the influence coefficients among the factors are computed based on the data samples. and a cross validity test is run in another sample to prove the generality of the result. Finally the contribution and further research is shown in the conclusion section of this paper.