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首页> 外文期刊>Computer-Aided Civil and Infrastructure Engineering >An Integrated Airline Scheduling, Fleeting, and Pricing Model for a Monopolized Market
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An Integrated Airline Scheduling, Fleeting, and Pricing Model for a Monopolized Market

机译:垄断市场的综合航班调度,调拨和定价模型

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摘要

In airline schedule planning models, the demand and price information are usually taken as inputs to the model. Therefore, schedule and capacity decisions are taken separately from pricing decisions. In this article, we present an integrated scheduling, fleeting, and pricing model for a single airline where these decisions are taken simultaneously. This integration enables to explicitly model supply and demand interactions and make superior decisions. The model refers to a monopolized market. However, competing airlines are included in the model as a reference for the pricing decisions. The pricing decision is formulated through an itinerary choice model which determines the demand of the alternative itineraries in the same market according to their price, travel time, number of stops, and the departure time of the day. The demand model is estimated based on real data and is developed separately for economy and business classes. The seat allocation for these classes is optimized according to the behavior of the demand. The choice model is also used to appropriately model the spill and recapture effects. The resulting model is evaluated with different illustrations and the added value of the in- tegrated approach is analyzed compared to a sequential approach. Results over a set of representative instances show that the integrated model is able to make superior decisions by jointly adjusting capacity and pricing.
机译:在航空公司的计划计划模型中,需求和价格信息通常被用作模型的输入。因此,计划和产能决策与定价决策是分开进行的。在本文中,我们为单个航空公司提供了一个综合的计划,转机和定价模型,这些决策是同时做出的。通过这种集成,可以显式地建立供需交互的模型并做出出色的决策。该模型指的是垄断市场。但是,模型中包括了竞争的航空公司,以作为定价决策的参考。通过行程选择模型制定定价决策,该模型根据价格,行进时间,停靠点和一天中的出发时间确定同一市场中其他行程的需求。需求模型是根据实际数据估算的,并针对经济和商业类别分别开发。这些类别的座位分配是根据需求的行为进行优化的。选择模型还用于对溢漏和重新捕获效应进行适当建模。用不同的插图评估生成的模型,并与顺序方法相比,分析集成方法的附加值。一组具有代表性的实例的结果表明,集成模型能够通过共同调整产能和定价来做出更好的决策。

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    Transport and Mobility Laboratory (TRANSP-OR), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Federate de Lausanne (EPFL), Switzerland;

    Dalle Molle Institute for Artificial Intelligence (IDSIA), University of Lugano (USI) & University of Applied Sciences of Southern Switzerland (SUPSI), Switzerland;

    Transport and Mobility Laboratory (TRANSP-OR), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Federate de Lausanne (EPFL), Switzerland;

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