A Study on the Decision-Making Heterogeneity of Parking Mode Choice

  • X. H. Li
  • L. X. WangEmail author
  • X. H. Sun
  • Z. Zuo
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 127)


A variety of models are applied to study the decision-making process of decision-makers under the framework of behavioral decision theory. The fitting precision and power of interpreting reality may differ among models. In the present work, a mixed logit model, a prospect theory model and a random regret minimization model are applied to study parking mode choice behavior. The heterogeneity of decision rules among decision-makers is explored through a case study considering context-dependence. Results show that decision rules are different for different decision-makers in same decision situation, and decision-making rules for same decision-makers in different scenarios are also different. Thus, the decision-making groups can be demarcated according to different decision rules.


Parking mode choice Decision-making heterogeneity Context-dependence Group division Behavioral decision theory 


Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was obtained from all individual participants included in the study.


  1. 1.
    Qin, H.M.: Nested logit model formation to analyze airport parking behavior based on stated preference survey studies. J. Air Transp. Manage. 58, 164–175 (2017)CrossRefGoogle Scholar
  2. 2.
    Ibeas, A.: Modelling parking choices considering user heterogeneity. Transp. Res. Part A 70, 41–49 (2014)Google Scholar
  3. 3.
    Chaniotakis, E.: Drivers’ parking location choice under uncertain parking availability and search times: a stated preference experiment. Transp. Res. Part A 82, 228–239 (2015)Google Scholar
  4. 4.
    Chen, C.M.: Influence of parking on train station choice under uncertainty for park-and-ride users. Procedia Manufact. 3, 5126–5133 (2015)CrossRefGoogle Scholar
  5. 5.
    Xie, B.L.: Parking mode choice based on prospect theory. J. Trans. Sci. Eng. 28(3), 71–76 (2012)Google Scholar
  6. 6.
    Chorus, C.G.: A new model of random regret minimization. Eur. J. Transp. Infrastruct. Res. 10(2), 181–196 (2010)Google Scholar
  7. 7.
    Wu, J.M.: A hybrid discrete choice model with heterogeneous decision rules on attributes and research on stochastic. Nanjing University (2017)Google Scholar
  8. 8.
    Charoniti, E., Rasouli, S.: Context dependent latent class behavioral mixture model of utility maximization and regret minimization decision-making underuncertaity. TRB 2017 Annual MeetingGoogle Scholar
  9. 9.
    Kahneman, D.: Prospect theory: an analysis of decision under risk. Econometric Rev. 47(2), 263–292 (1979)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Tversky, A.: Advances in prospect theory cumulative representation of uncertainty. J. Risk Uncertainty 5, 297–323 (1992)CrossRefGoogle Scholar
  11. 11.
    Bell, D.E.: Regret in decision making under uncertainty. Oper. Res. 30(5), 961–981 (1982)CrossRefGoogle Scholar
  12. 12.
    Hensher, D.A.: The mixed logit model: the state of practice. Transportation 30, 133–176 (2003)CrossRefGoogle Scholar
  13. 13.
    Chorus, C.G.: A random regret-minimization model of travel choice. Transp. Res. Part B 42, 1–18 (2008)CrossRefGoogle Scholar
  14. 14.
    Chorus, C.G.: A generalized random regret minimization model. Transp. Res. Part B 68, 224–238 (2014)CrossRefGoogle Scholar
  15. 15.
    Xu, H.L.: A decision-making rule for modeling travelers’ route choice behavior based on cumulative prospect theory. Transp. Res. Part C 19, 218–228 (2011)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Civil Engineering and ArchitectureXinjiang UniversityUrumqiChina

Personalised recommendations