01593600

Component

This paper aims to investigate factors that affect traveler's transfer behavior at urban rail-transit terminal area and develop a transfer mode choice probability model based on the field data. Stated preference approach (SP survey) together with utility-based logit model was employed to predict the probability of an individual traveler's transfer mode choice behavior. Based on 2174 samples, the mode choice probability matrix was built, which can be adopted for estimating the transfer mode choice probabilities of an individual traveler given his or her attribute coefficients. Then, revealed preference (RP survey) approach was used to verify the accuracy of the proposed transfer mode choice probability matrix model. Model verification results show that modeling results consistent with revealed preference survey data. The absolute error is less than 7 percent, which indicates the proposed transfer mode choice probability model would reflect the realistic transfer mode choice behavior at the study rail-transit terminal area. Also, this model could be used to estimate the modal shift probabilities by changing the coefficients of one or multiply attributes; it can be used to improve the accuracy of urban transportation planning.

This paper was sponsored by TRB committee AP045 Standing Committee on Intermodal Transfer Facilities.

01584066

16-6826

English

12p

2016

Transportation Research Board 95th Annual Meeting

Digital/other

Diskette; References; Tables

Logits; Mode choice; Probability; Rail transit; Transfers; Travel behavior

China

Data and Information Technology; Planning and Forecasting; Public Transportation

Transportation Research Board Annual Meeting 2016 Paper #16-6826

TRIS, TRB, ATRI

Jan 12 2016 6:58PM