Impact of Adjusting Train Timetable on Ticket Revenue

Autor: Meng-Yao Wang, Wu-Yang Yuan, Hui-Ling Fu
Rok vydání: 2019
Předmět:
Zdroj: DEStech Transactions on Economics, Business and Management.
ISSN: 2475-8868
Popis: This paper proposes a train timetable adjustment method to increase potential ticket revenue specific to train runs mainly with loading factors of low level. The effectiveness of adjustment is evaluated by an existing seat inventory control simulation tool. A formalized model of stated problem is built which describes various train adjustment measures adapting to different circumstances encountered in a given train timetable. In the numerical instance analysis, taking a real-life high speed rail line as the background, a series of iterative simulations are implemented. The results show that proper adjustments to some of the existing train runs can help add ticket revenue, and accordingly advice on train path redesign is provided to a timetable planner.
Databáze: OpenAIRE