Abstract:

In order to overcome the deficiencies of the existing behavior models of trip chains for urban transporta-tion,the basic concept of the urban trip chain and the possible paths in a simple trip chain were analyzed,and amodel based on the entropy- maximizing (EM) model was proposed to describe the trip chain behavior in a multi-mode transportation network,in which origin- destination constraints and travel distance constraints were introduced.Then,the corresponding parameter estimation procedure and prior probability setting method were given.Finally,the model was applied to the analysis of sample data of the resident trip survey in the inner city of Chengdu,with itseffectiveness being verified by 5 benchmark indexes including the travel distance of trip chains,the trip flow be-tween zones of trip chains,the number of trip chains approaching different zones,the individuals of different tripchains and the individuals of different types of trip chains.The results show that the proposed model accords wellwith real values,so that it can be used as an effective modeling tool for analyzing urban transportation travel.

Key words: urban transportation, trip chain, multi- mode transportation network, entropy- maximizing model