Abstract
In order to analyze the commuting behavior of residents more accurately, the quantitative family heterogeneity is integrated into commuting travel choice behavior analysis. Based on the data of residents’ travel survey in Xi’an, MNL models with neglecting household heterogeneity and Multi-Level MNL models with household heterogeneity are established respectively, and the parameters are calibrated. The model calibration results show that 19% of the residents’ commuting behavior selection is caused by household heterogeneity. Household heterogeneity cannot be ignored. Compared with the multi-layer MNL model, the MNL model overestimates the extent to which some explanatory variables affect the explanatory variables. At the same time, the analysis proves that having a car in the family is one of the key factors in inducing car travel. The transfer of bus and bicycle modes of transportation is highly accepted by commuters. We can increase the share of buses and reduce the use of cars by encouraging passengers to use bus and bicycle transfers.
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