Optimal Parameters of Service in a Public Transportation Market with Pricing
Joint Authors
Gao, Hongwei
Xue, Juan
Mazalov, Vladimir
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-10
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The problem of choosing the optimal parameters of service by carriers in public transport passenger flows is considered.
This problem is modeled as a two-stage game.
At the first stage, the players (carriers) select the parameters of their service (the number and schedule of vehicles, etc.).
At the second stage, the players announce the prices of service and the consumers choose an appropriate service.
The Wardrop equilibrium is applied to the competition model with rational consumers preferring the carriers with minimum cost, where the cost of service includes the price and also the expected trip time.
The equilibrium in the pricing game is found and the optimal parameters of service as a solution to a noncooperative game are determined.
Some results of computer simulations are presented.
American Psychological Association (APA)
Gao, Hongwei& Mazalov, Vladimir& Xue, Juan. 2020. Optimal Parameters of Service in a Public Transportation Market with Pricing. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1175857
Modern Language Association (MLA)
Gao, Hongwei…[et al.]. Optimal Parameters of Service in a Public Transportation Market with Pricing. Journal of Advanced Transportation No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1175857
American Medical Association (AMA)
Gao, Hongwei& Mazalov, Vladimir& Xue, Juan. Optimal Parameters of Service in a Public Transportation Market with Pricing. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1175857
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175857