Volume 41 Issue 6
Dec.  2023
Turn off MathJax
Article Contents
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.

     

    • FullText(HTML)
  • loading
    • References(21)
  • [1]
    BHAT C R. Accommodating variations in responsiveness to level-of-service measures in travel mode choice modeling[J]. Transportation Research Part A: Policy and Practice, 1998, 32 (7): 495-507. doi: 10.1016/S0965-8564(98)00011-1
    [2]
    BHAT C R, SARDESAI R. The impact of stop-making and travel time reliability on commute mode choice[J]. Transportation Research Part B: Methodological, 2014, 40(9): 709-730.
    [3]
    LU X S, LIU T L, HUANG H J. Pricing and mode choice based on nested Logit model with trip-chain costs[J]. Transport Policy, 2015, 44: 76-88. doi: 10.1016/j.tranpol.2015.06.014
    [4]
    郝小妮, 石文瀚, 刘建荣, 等. 基于随机系数Logit模型的城市群城际出行方式选择行为研究[J]. 交通信息与安全, 2022, 40(5): 139-146. doi: 10.3963/j.jssn.1674-4861.2022.05.015

    HAO X N, SHI W H, LIU J R, et al. An Analysis of mode choice behavior of inter-city travel in urban agglomeration areas using a random-parameter Logit model[J]. Journal of Transport Information and Safety, 2022, 40(5): 139-146. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2022.05.015
    [5]
    MAHMASSANI H S, CHANG G L. On boundedly rational user equilibrium in transportation systems[J]. Transportation Science, 1987, 21(2): 89-99. doi: 10.1287/trsc.21.2.89
    [6]
    田丽君, 杨茜, 黄海军, 等. 基于累积前景理论的出行方式选择模型及实证[J]. 系统工程理论与实践, 2016, 36(7): 1778-1785. https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL201607015.htm

    TIAN L J, YANG Q, HUANG H J, et al. The cumulative prospect theory-based travel mode choice model and its empirical verification[J]. Systems Engineering-Theory and practice, 2016, 36(7): 1778-1785. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL201607015.htm
    [7]
    田丽君, 吕成锐, 黄文彬. 基于累积前景理论的合乘行为建模与研究[J]. 系统工程理论与实践, 2016, 36(6): 1576-1584. https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL201606023.htm

    TIAN L J, LYU C R, HUANG W B. Modelling carpooling behavior based on cumulative prospect theory[J]. Systems Engineering-Theory and practice, 2016, 36(6): 1576-1584. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL201606023.htm
    [8]
    张宏刚, 王伟, 潘敏荣, 等. 考虑有限理性和公平性的危险品运输网络优化[J]. 交通信息与安全, 2022, 40(4): 38-45. doi: 10.3963/j.jssn.1674-4861.2022.04.004

    ZHANG H G, WANG W, PAN M R, et al. Optimization of the transportation network of hazardous materials considering bounded rationality and equity[J]. Journal of Transport Information and Safety, 2022, 40(4): 38-45. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2022.04.004
    [9]
    MATĚJKA F, MCKAY A. Rational inattention to discrete choices: a new foundation for the multinomial Logit model[J]. American Economic Review, 2015, 105(1): 272-298. doi: 10.1257/aer.20130047
    [10]
    JIANG G, FOSGERAU M, LO H K. Route choice, travel time variability, and rational inattention[J]. Transportation Research Part B: Methodological, 2020, 132: 188-207. doi: 10.1016/j.trb.2019.05.020
    [11]
    SIMS C A. Implications of rational inattention[J]. Journal of Monetary Economics, 2003, 50: 665-690. doi: 10.1016/S0304-3932(03)00029-1
    [12]
    石小法, 王炜, 杨东援. 信息对出行者出行行为的影响研究[J]. 中国公路学报, 2002, 15(1): 92-95. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL200201021.htm

    SHI X F, WANG W, YANG D Y. Study of the effect of information on the travelers' behavior[J]. China Journal of Highway and Transport, 2002, 15(1): 92-95. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL200201021.htm
    [13]
    李志纯, 黄海军. 多目标路径诱导下平衡市场渗透率的确定[J]. 系统工程理论与实践, 2004, 24(9): 125-130. https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL200409021.htm

    LI Z C, HUANG H J. Determination of equilibrium market penetration under multi-criteria route guidance systems[J]. Systems Engineering-Theory and Practice, 2004, 24(9): 125-130. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL200409021.htm
    [14]
    李志纯, 黄海军. 先进的旅行者信息系统对出行者选择行为的影响研究[J]. 公路交通科技, 2005, 22(2): 95-99. https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK200502026.htm

    LI Z C, HUANG H J. Modeling the impacts of advanced traveler information systems on travelers' travel choice behaviors[J]. Journal of Highway and Transportation Research and Development, 2005, 22(2): 95-99. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK200502026.htm
    [15]
    李嫚嫚, 陆建, 孙加辉. 多类型信息下的网络交通流演化模型[J]. 交通运输系统工程与信息, 2020, 20(4): 97-105. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202004015.htm

    LI M M, LU J, SUN J H. Day-to-day traffic assignment model with multiple types of Information[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(4): 97-105. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202004015.htm
    [16]
    ARNOTT R, DE PALMA A, LINDSEY R. Does providing information to drivers reduce traffic congestion?[J]. Transportation Research Part A: General, 1991, 25(5): 309-318. doi: 10.1016/0191-2607(91)90146-H
    [17]
    LINDSEY R, DANIEL T, GISCHES E, et al. Pre-trip information and route-choice decisions with stochastic travel conditions: theory[J]. Transportation Research Part B: Methodological, 2014, 67(1): 187-207.
    [18]
    RAPOPORT A, GISCHES E J, DANIEL T, et al. Pre-trip information and route-choice decisions with stochastic travel conditions: Experiment[J]. Transportation Research Part B: Methodological, 2014, 68: 154-172. doi: 10.1016/j.trb.2014.06.007
    [19]
    刘天亮, 张冲, 王天歌, 等. 朋友圈信息交互对个体出行决策行为的影响研究[J]. 交通运输系统工程与信息, 2013, 13 (6): 86-93. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201306014.htm
    [20]
    高峰, 王明哲. 诱导信息下的路径选择行为模型[J]. 交通运输系统工程与信息, 2010, 10(6): 64-69. doi: 10.3969/j.issn.1009-6744.2010.06.009

    GAO F, WANG M Z. Route choice behavior model with guidance information[J]. Journal of Transportation Systems Engineering and Information Technology, 2010, 10(6): 64-69. (in Chinese) doi: 10.3969/j.issn.1009-6744.2010.06.009
    [21]
    ZHANG Q R, MA S F, TIAN J F, et al. Mode choice between autonomous vehicles and manually-driven vehicles: An experimental study of information and reward[J]. Transportation Research Part A: Policy and Practice, 2022, 157: 24-29. doi: 10.1016/j.tra.2022.01.011
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(4)  / Tables(2)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (231) PDF downloads(28) Cited by()
    Proportional views
    Related

    Copyright Editorial Office of Transport Information and Safety鄂ICP备05003336号-2

    Address：No. 1178，Heping Avenue, Wuchang, Wuhan, CHINA (430063)

    Tel：027-86580355 Email：jtjsj@vip.163.com

    Supported by: Beijing Renhe Information Technology Co. Ltd  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return