Volume 41 Issue 6
Dec.  2023
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Article Navigation >  Journal of Transport Information and Safety  > 2023  >  41(6): 100-106
ZHAO Chuanlin, SUN Shumin, HE Shaosong, WANG Yuhan. A Model of Rationally Inattentive Travel Mode Choice Behavior Considering the Influence of Information[J]. Journal of Transport Information and Safety, 2023, 41(6): 100-106. doi: 10.3963/j.jssn.1674-4861.2023.06.011
Citation: ZHAO Chuanlin, SUN Shumin, HE Shaosong, WANG Yuhan. A Model of Rationally Inattentive Travel Mode Choice Behavior Considering the Influence of Information[J]. Journal of Transport Information and Safety, 2023, 41(6): 100-106. doi: 10.3963/j.jssn.1674-4861.2023.06.011
shu

A Model of Rationally Inattentive Travel Mode Choice Behavior Considering the Influence of Information

doi: 10.3963/j.jssn.1674-4861.2023.06.011
  • 1.

    School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 102616, China

  • 2.

    Shandong Vocation College of Industry, Zibo 255000, Shandong, China

  • Received Date: 2023-03-14
    Available Online: 2024-04-03
    Abstract
  • Most travel mode choice models are developed based on rational assumptions, but in the current era of information explosion, various types of information bring both convenience and interference to travel decisions. Previous studies have not fully revealed the impact of human's limited information processing capacity on travel mode choice behavior. This research is conducted from both experimental and theoretical perspectives. A travel mode choice behavior experiment is designed including a decision-making process involving multiple types of information. After thirty rounds of repeated experiments, the rational inattention characteristic of traveler decision-making was verified, that is, the subjects did not pay attention to all travel information. It was found that the subjects paid higher attention to the number of people choosing each travel mode in the previous round, but lower attention to the predictive information in the next round. Considering the randomness of transportation status and the limited information processing capacity of travelers, a travel cost function for each travel mode is defined, and a travel mode choice model is established for individual traveler with the goal of minimizing the sum of information cost and expected travel cost. Shannon entropy is used to describe the amount of information and introduces unit information cost to represent the information processing capacity of travelers. Furthermore, the equilibrium conditions of the multiplayer game for travel mode choice were provided, and the model was solved using the method of successive averages (MSA). Numerical examples further demonstrated the properties of the model. The results indicate that travelers pay more attention to empirical information than to predictive information; When the unit information cost is infinite, travelers travel without information, and their choice of mode tends to be based on initial preferences; As the unit information cost decreases, the difference in the probability of choosing two modes becomes larger, and the tendency of mode choice becomes more clear; When the probability of a certain traffic state occurring is smaller or higher, the cost for travelers to obtain information is relatively small.

     

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