Sequential Route Choice Modeling Based on Dynamic Reference Points and Its Empirical Study
Joint Authors
Xue-qin, Long
Hou, Chenxi
Liu, Shanshan
Wang, Yuejiao
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Aiming at the influence of information, we investigate and analyze the sequential route choice behavior under dynamic reference points based on cumulative prospect theory in this paper.
An experiment platform collecting the sequential route choices based on C/S structure is designed and four types of information are released to participants, respectively.
Real-time travel time prediction methods are then proposed for travelers’ decision-making.
Using nonlinear regression method, the parameters of the value function and weight function of cumulative prospect theory are estimated under different types of information, respectively.
It is found that travelers’ behavior showed obvious characteristic of risk pursuit under the circumstance where real-time travel time information is released.
Instead, when they have access to descriptive information, they tend to be more conservative.
American Psychological Association (APA)
Xue-qin, Long& Hou, Chenxi& Liu, Shanshan& Wang, Yuejiao. 2020. Sequential Route Choice Modeling Based on Dynamic Reference Points and Its Empirical Study. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1153464
Modern Language Association (MLA)
Xue-qin, Long…[et al.]. Sequential Route Choice Modeling Based on Dynamic Reference Points and Its Empirical Study. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1153464
American Medical Association (AMA)
Xue-qin, Long& Hou, Chenxi& Liu, Shanshan& Wang, Yuejiao. Sequential Route Choice Modeling Based on Dynamic Reference Points and Its Empirical Study. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1153464
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1153464