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- W2389803591 abstract "In order to improve the current travel mode choice model and increase prediction model accuracy of travel mode,authors built a dynamic model of within-day travel mode choice.The mechanism of travel mode choice of residents was analyzed firstly.Then,the dynamic effect factors of travel mode choice were decided.Finally,the dynamic model of travel mode choice was built based on the MNL model.The effect of previous travel mode choice decision on current travel mode choice and the effect of main tour travel choice decision on sub-tour travel mode choice were considered as the dynamic effect factors in new model.The data of Huaibei city,Anhui Province were taken as example in this paper.The results show that the new model is much better and has a higher prediction accuracy than MNL model on the basis of single travel utility,and the meanings of the effect factors agree well with the truth of China.The mode choice dynamics model can be used for traffic planning and transportation policy making." @default.
- W2389803591 created "2016-06-24" @default.
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- W2389803591 date "2012-01-01" @default.
- W2389803591 modified "2023-09-23" @default.
- W2389803591 title "Research on Dynamic Model of Within-day Travel Mode Choice of Residents" @default.
- W2389803591 hasPublicationYear "2012" @default.
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