• ISSN 0258-2724
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Volume 58 Issue 2
Apr.  2023
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Journal of Southwest Jiaotong University  > 2023  >  58(2): 367-372.
HUANG Yihui, YANG Fei, ZHANG Dong, ZENG Youmei. Optimization of Travel Mode Choice Based on MA-CPT Model[J]. Journal of Southwest Jiaotong University, 2023, 58(2): 367-372. doi: 10.3969/j.issn.0258-2724.20210938
Citation: HUANG Yihui, YANG Fei, ZHANG Dong, ZENG Youmei. Optimization of Travel Mode Choice Based on MA-CPT Model[J]. Journal of Southwest Jiaotong University, 2023, 58(2): 367-372. doi: 10.3969/j.issn.0258-2724.20210938
shu

Optimization of Travel Mode Choice Based on MA-CPT Model

doi: 10.3969/j.issn.0258-2724.20210938
  • 1.

    School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China

  • 2.

    School of Transportation and Logistics, Dalian University of Technology, Dalian 116024, China

  • Received Date: 17 Nov 2021
  • Rev Recd Date: 26 Oct 2022
    • Available Online: 19 Dec 2022
  • Publish Date: 03 Nov 2022
    Abstract

  • To improve the accuracy of cumulative prospect theory in modeling travel mode choice, given the differences in individual attitudes toward time and costs, the time value function and time weight function of the original cumulative prospect theory model are optimized. Firstly, in view of the preference reversal under time pressure, the travel mode is divided into rigid travel and flexible travel, the form of the time value function under the rigid travel scenario is improved, and the value range of the attraction parameter in the time weight function is calculated according to the travel time characteristics, and the MA-CPT (mental accounting-cumulative prospect theory) model is constructed. Secondly, the values of discrimination and attractiveness parameters in the time weight function are calibrated according to empirical data. Finally, the MA-CPT model is calibrated and its goodness of fit is tested, and the hit rates of MA-CPT and CPT models are compared. The empirical analysis results show that the attraction parameter value of the time weight function is greater than 1.00 under the scenarios of rigid travel and one-way travel. The goodness of fit of the MA-CPT model under rigid travel and flexible travel scenarios are 0.17 and 0.18, respectively. Compared with the CPT model, the hit rate of the MA-CPT model under flexible travel and rigid travel scenarios has increased by 12.2% and 19.8%, respectively.

     

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    • References(20)
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