KRČÁL, Ondřej. Finding optimum fares and timetables in a monopoly rail market with heterogeneous passengers. In Jana Talašová, Jan Stoklasa, Tomáš Talášek. 32nd International Conference Mathematical Methods in Eocnomics Conference Proceedings. 1st ed. Olomouc: Palacký University, 2014, p. 495-499. ISBN 978-80-244-4209-9.
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Basic information
Original name Finding optimum fares and timetables in a monopoly rail market with heterogeneous passengers
Authors KRČÁL, Ondřej (203 Czech Republic, guarantor, belonging to the institution).
Edition 1. vyd. Olomouc, 32nd International Conference Mathematical Methods in Eocnomics Conference Proceedings, p. 495-499, 5 pp. 2014.
Publisher Palacký University
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 50200 5.2 Economics and Business
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form storage medium (CD, DVD, flash disk)
WWW URL
RIV identification code RIV/00216224:14560/14:00076580
Organization unit Faculty of Economics and Administration
ISBN 978-80-244-4209-9
UT WoS 000356417900086
Keywords (in Czech) simulace; železnice; monopol; Salop; cena; jízdní řád
Keywords in English simulation; rail; monopoly; Salop; fare; timetable
Tags International impact, Reviewed
Changed by Changed by: Mgr. Michal Petr, učo 65024. Changed: 12/8/2020 14:08.
Abstract
This paper presents an agent-based model of passenger rail services. In the model, passengers are uniformly distributed on a circle representing the preferred departure times and passengers on each position of the circle have uniformly distributed reservation prices. The passengers choose the train with the lowest fare plus transport cost, given the sum of fare and transport cost is lower than their reser-vation prices. The paper provides algorithms which can be used for finding fares and timetable of a monopoly train operating company that maximizes its total profit and total welfare in realistic market settings. The efficiency of the algorithms is tested against the analytical solution of the model. The paper finds that the algorithm approximates the theoretical fare, number of trains and their departure times efficiently.
Links
MUNI/A/0781/2013, interní kód MUName: Regulace trhu dopravních služeb – modely, metody a aplikace (Acronym: ReDoS)
Investor: Masaryk University, Category A
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