• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 58 Issue 2
Apr.  2023
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Article Contents
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

Optimization of Travel Mode Choice Based on MA-CPT Model

doi: 10.3969/j.issn.0258-2724.20210938
  • Received Date: 17 Nov 2021
  • Rev Recd Date: 26 Oct 2022
  • Available Online: 19 Dec 2022
  • Publish Date: 03 Nov 2022
  • 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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  • [1]
    SIMON H A. Bounded rationality in social science: today and tomorrow[J]. Mind & Society, 2000, 1(1): 25-39.
    [2]
    张波,隽志才,倪安宁. 前景理论在出行行为研究中的适用性[J]. 北京理工大学学报(社会科学版),2013,15(1): 54-62. doi: 10.15918/j.jbitss1009-3370.2013.01.005

    ZHANG Bo, JUAN Zhicai, NI Anning. The applicability of prospect theory in travel behavior research[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2013, 15(1): 54-62. doi: 10.15918/j.jbitss1009-3370.2013.01.005
    [3]
    KAHNEMAN D, TVERSKY A. Prospect theory: an analysis of decision under risk[J]. Econometrica, 1979, 47(2): 263-291. doi: 10.2307/1914185
    [4]
    TVERSKY A, KAHNEMAN D. Advances in prospect theory: cumulative representation of uncertainty[J]. Journal of Risk and Uncertainty, 1992, 5(4): 297-323. doi: 10.1007/BF00122574
    [5]
    ZHANG C, LIU T L, HUANG H J, et al. A cumulative prospect theory approach to commuters’ day-to-day route-choice modeling with friends’ travel information[J]. Transportation Research Part C: Emerging Technologies, 2018, 86: 527-548. doi: 10.1016/j.trc.2017.12.005
    [6]
    HUANG C, BURRIS M, SHAW W D. Differences in probability weighting for individual travelers: a managed lane choice application[J]. Transportation, 2017, 44(2): 375-393. doi: 10.1007/s11116-015-9642-x
    [7]
    SENBIL M, KITAMURA R. Reference points in commuter departure time choice: a prospect theoretic test of alternative decision frames[J]. Journal of Intelligent Transportation Systems, 2004, 8(1): 19-31. doi: 10.1080/15472450490437726
    [8]
    陈林,杨飞,姜海航,等. 基于心理账户理论的交通出行选择行为[J]. 上海交通大学学报,2016,50(8): 1214-1220. doi: 10.16183/j.cnki.jsjtu.2016.08.012

    CHEN Lin, YANG Fei, JIANG Haihang, et al. A study of travel choice behavior based on mental accounting[J]. Journal of Shanghai Jiao Tong University, 2016, 50(8): 1214-1220. doi: 10.16183/j.cnki.jsjtu.2016.08.012
    [9]
    GAO K, SUN L, YANG Y, et al. Cumulative prospect theory coupled with multi-attribute decision making for modeling travel behavior[J]. Transportation Research Part A: Policy and Practice, 2021, 148(7): 1-21.
    [10]
    GAO S, FREJINGER E, BEN-AKIVA M. Adaptive route choices in risky traffic networks: a prospect theory approach[J]. Transportation Research Part C: Emerging Technologies, 2010, 18(5): 727-740. doi: 10.1016/j.trc.2009.08.001
    [11]
    陈林. 基于心理账户论的交通决策行为建模分析[D]. 成都: 西南交通大学, 2017.
    [12]
    DUXBURY D, KEASEY K, ZHANG H, et al. Mental accounting and decision making: evidence under reverse conditions where money is spent for time saved[J]. Journal of Economic Psychology, 2005, 26(4): 567-580. doi: 10.1016/j.joep.2004.11.001
    [13]
    ALÓS-FERRER C, GRANIĆ Ð G, KERN J, et al. Preference reversals: time and again[J]. Journal of Risk and Uncertainty, 2016, 52(1): 65-97. doi: 10.1007/s11166-016-9233-z
    [14]
    THALER R H. Mental accounting matters[J]. Journal of Behavioral Decision Making, 1999, 12(3): 183-206. doi: 10.1002/(SICI)1099-0771(199909)12:3<183::AID-BDM318>3.0.CO;2-F
    [15]
    HENSHER D A, GREENE W H, LI Z. Embedding risk attitude and decision weights in non-linear logit to accommodate time variability in the value of expected travel time savings[J]. Transportation Research Part B: Methodological, 2011, 45(7): 954-972. doi: 10.1016/j.trb.2011.05.023
    [16]
    HAUSTEIN S, THORHAUGE M, CHERCHE E. Commuters’ attitudes and norms related to travel time and punctuality: a psychographic segmentation to reduce congestion[J]. Travel Behaviour and Society, 2018, 12: 41-50. doi: 10.1016/j.tbs.2018.04.001
    [17]
    GONZALEZ R, WU G. On the shape of the probability weighting function[J]. Cognitive Psychology, 1999, 38(1): 129-166. doi: 10.1006/cogp.1998.0710
    [18]
    TRAIN K E. Discrete choice methods with simulation[M]. Cambridge: Cambridge University Press, 2009.
    [19]
    LI H, GAO K, TU H. Variations in mode-specific valuations of travel time reliability and in-vehicle crowding: implications for demand estimation[J]. Transportation Research Part A: Policy and Practice, 2017, 103: 250-263. doi: 10.1016/j.tra.2017.06.009
    [20]
    HENSHER D A, ROSE J M, GREENE W H. Applied choice analysis[M]. 2nd edition. Cambridge: Cambridge University Press, 2015
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