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DAILY DEMAND DISTRIBUTION FLIGHT PROGRAMME ATTRACTIVENESS FOR THE PASSENGERS ON A CITY PAIR

机译:城市对乘客的每日需求分布和飞行计划吸引力

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The daily number of flights operated by an airline on a route, peak hours at airports, wavesamplitude at hub airports, maximum daily flights to be offered to the customers on a route, numberof aircraft different types in a airline fleet, … this is a set of air transport issues which are stronglyrelated to each other and which are the direct or indirect consequence of the daily distribution of(business) demand on city pairs and how an airline manages to capture most of it.Statistical analysis and modelling cannot provide efficient enough tools for assessing the actualweight of the sole scheduling/frequency factor on the passenger choice as, for instance, the faresand the frequent flyer programmes do play a significant role. This is why we favour a behaviouralmodelling which would be based on the combined attractiveness of the local departure and arrivaltimes of a flight together with the bell shaped curve of the flight attractiveness over the day sincethe further the actual departure time from the desired one the lower the number of people willing totake it.This approach provides clues as to:1/ what is the maximum number of daily flights beyond which it does not pay off adding a newone?2/ when these flights should be operated over the day?3/ how the flight programme of 2 and more contenders affects their related market shares?4/ how this approach compares/complements with the S-curve theory of de Neufville, Lenoirand other prominent specialists?
机译:航空公司每天在航线上运营的航班数,机场的高峰时间,海浪 枢纽机场的振幅,将在路线上向客户提供的每日最大航班数 航空公司机队中不同类型的飞机,……这是一系列强烈的航空运输问题 彼此相关,并且是每日分布的直接或间接结果 (业务)对城市对的需求,以及航空公司如何设法捕获其中的大部分需求。 统计分析和建模无法提供足够有效的工具来评估实际 唯一时间表/频率因素在乘客选择上的权重,例如票价 飞行常客计划确实发挥了重要作用。这就是为什么我们偏爱行为 建模将基于本地出发和到达的综合吸引力 以来的飞行时间以及飞行吸引力的钟形曲线 实际离开所需时间的时间越长,愿意接受的人数越少 接受。 这种方法提供了有关以下方面的线索: 1 /每天最多可以乘多少新飞机,超过此上限还不赚钱 一? 2 /这些航班何时应全天运营? 3 /两个或更多竞争者的飞行计划如何影响他们相关的市场份额? 4 /该方法如何与勒诺瓦的德纳夫维尔的S曲线理论进行比较/互补 和其他杰出的专家?

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