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Schedule creep - In search of an uncongested baseline block time by examining scheduled flight block times worldwide 1986-2016

机译:时间表爬行-通过检查1986-2016年全球范围内的计划航班飞行时间来寻找不拥挤的基线航班时间

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Based on a stratified random sampling of airlines' schedules for 200 heavily travelled directional nonstop airport pairs, this paper examines systematically how scheduled block times in non-stop flights have changed from 1986 to 2016. Three econometric analyses, by way of a 10th percentile quantile regression, 15th percentile quantile regression and ordinary least-squares regression, show that after accounting for the effects of air traffic growth, airport-specific congestion, flight delays, number of seat per flight, aircraft type, flight heading, airport slot policy, other airport-specific anomalies, airline-specific policies and changes in crude oil price, scheduled block times have been growing at a pace between 0.21 and 0.33 min per year depending on the regression model, or a total of between 6.2 and 9.8 min per flight from 1986 to 2016. Over-flying crowded parts of Europe contributes to an increase of 4.1 min of block time in 2016 compared with 1986, while over-flying crowded parts of China contributes to a corresponding increase of 8.9 min of block time. Slot-based practices at one end of an airport pair reduce the scheduled block times between 1.3 and 2.0 min, and this reduction can vary slightly over time in depending on the regression model. Regional influences add to the changes in scheduled block times. Those airport pairs within north-eastern U.S. have scheduled block times between 3.6 and 4.0 min longer than their counterparts in the rest of North America, which in turn grow at 0.10 min per year in the 10th percentile regression. Airline-specific policies also add to further changes to the scheduled block times, with some starting with longer times in 1986 and reducing theirs over the years while others starting with shorter times in 1986 and increasing theirs over the years. Hub-specific adjustments to scheduled block times by individual airlines are also observed. Airlines with increasing frequency share at the departure and arrival airports, or in the non-stop airport pair itself, are shown to reduce the scheduled block times of that route. The overall increase from the projected baseline block times in 1986 to the actual scheduled block times in 2016 is 19.2 min per flight from the sampled nonstop city-pairs, consistent with a previous study on buffers in flight schedules within the U.S. Overall, un-adjusted scheduled block times are not a reliable benchmark for determining true flight delays, but using a percentile statistics from past flight records to determine a minimum feasible block time is a reasonable estimate even if aircraft types are not explicitly accounted for.
机译:基于对200个重程定向直飞机场对的航空公司时间表进行分层随机抽样的基础,本文系统地研究了1986年至2016年直飞航班的定期起飞时间是如何变化的。通过十分位数的十分位数进行了三项计量经济学分析回归,第15个百分位数分位数回归和普通最小二乘回归表明,在考虑了航空交通量增长,特定于机场的拥堵,航班延误,每次航班的座位数,飞机类型,航班方向,机场航班位策略等影响后,根据回归模型,特定于机场的异常情况,特定于航空公司的政策以及原油价格的变化,计划的封锁时间以每年0.21至0.33分钟的速度增长,这取决于从回归模型得出的结果,而每次航班总计6.2至9.8分钟1986年至2016年。在欧洲过度拥挤的地区,2016年的封锁时间比1986年增加了4.1分钟,而在空中过度拥挤的人群中国rts相应地增加了8.9分钟的阻止时间。在机场对的一端采用基于插槽的做法,可以将排定的排布时间减少1.3到2.0分钟,并且根据回归模型的不同,这种减少可能会随时间而略有不同。区域影响会增加计划的排班时间的变化。在美国东北部,这些机场对的排班时间比北美其他地区的排班时间长3.6至4.0分钟,后者在第十个百分位数回归中每年以0.10分钟的速度增长。航空公司特定的政策还增加了对预定航班时刻的更改,其中一些始于1986年较长的时间,并在以后的几年中有所减少,而另一些政策始于1986年的较短时间,并在随后的几年中增加。还观察到各个航空公司对集线器进行的特定计划的班次调整。显示出在出发和到达机场或直飞机场对中频率共享增加的航空公司减少了该路线的预定班次时间。从采样的直飞城市对,从1986年的预计基准飞行时间到2016年的实际预定飞行时间的总体增加为每次飞行19.2分钟,这与之前对美国航班时刻表缓冲的研究一致,总体而言,未经调整计划的起飞时间不是确定真实航班延误的可靠基准,但是即使未明确考虑飞机类型,使用过去飞行记录的百分位数统计来确定最小可行停机时间也是合理的估计。

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