Discrete Robustness Optimization on Emergency Transportation Network Based on Prospect Theory
Joint Authors
Zhu, Changfeng
Wang, Qingrong
Zhang, Zheng-kun
Yuan, Jia-shan
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-04
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
This paper focuses on the discrete robustness optimization of emergency transportation network with the consideration of timeliness and decision behavior of decision-maker under the limited rationality.
Based on a situation that the nearer to disaster area, the higher probability of time delay, prospect theory is specially introduced to reflect the subjective decision behavior of decision-maker.
Then, a discrete robustness optimization model is proposed with the purpose of the better timeliness and robustness.
The model is based on the emergency transportation network with multistorage centers and multidisaster points.
In order to obtain the optimal solution, an improved genetic algorithm is designed by introducing a bidirectional search strategy based on a newfangled path cluster to obtain specific paths that connect each storage centers and each disaster points.
Finally, a case study is exhibited to demonstrate the reasonability of the model, theory, and algorithm.
The result shows that the path cluster with the better timeliness and robustness can be well obtained by using the prospect theory and improved genetic algorithm.
The analysis especially reveals that the robustness is correspondent to the risk aversion in prospect theory.
American Psychological Association (APA)
Zhang, Zheng-kun& Zhu, Changfeng& Wang, Qingrong& Yuan, Jia-shan. 2019. Discrete Robustness Optimization on Emergency Transportation Network Based on Prospect Theory. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1169712
Modern Language Association (MLA)
Zhang, Zheng-kun…[et al.]. Discrete Robustness Optimization on Emergency Transportation Network Based on Prospect Theory. Journal of Advanced Transportation No. 2019 (2019), pp.1-18.
https://search.emarefa.net/detail/BIM-1169712
American Medical Association (AMA)
Zhang, Zheng-kun& Zhu, Changfeng& Wang, Qingrong& Yuan, Jia-shan. Discrete Robustness Optimization on Emergency Transportation Network Based on Prospect Theory. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1169712
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169712