PREDICTING AIR-TRANSPORT DEMAND

被引:27
作者
PITFIELD, DE
机构
关键词
D O I
10.1068/a250459
中图分类号
X [环境科学、安全科学];
学科分类号
08 [工学]; 0830 [环境科学与工程];
摘要
In this paper, the efficiency of autoregressive integrated moving average (ARIMA) and regression models in simulating air-transport passengers by route are compared and constrasted. It is concluded that ARIMA models are far superior not only in their simulation capabilities but also in their applicability to such data. In the context of the UK Civil Aviation Authority's approach to forecasting, it is suggested that ARIMA models, including those with intervention terms, bear closer examination.
引用
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页码:459 / 466
页数:8
相关论文
共 10 条
[1]
ASHFORD N, 1988, PASSENGERS CHOICE AI
[2]
Box G.E.P., 1976, TIME SERIES ANAL
[3]
CAVES RE, 1992, TRANSPORTATION PLANN, V16, P283
[4]
*CIV AV AUTH, 1989, CAP584
[5]
*CIV AV AUTH, 1990, CAP570
[6]
JENKINS GM, 1981, TRRL978 REP
[7]
MCDOWELL D, 1980, SAGE PUBLICATIONS SE, V21
[8]
NODH N, 1990, SPATIAL CHOICES PROC, P349
[9]
Pindyck R.S., 1981, ECONOMETRIC MODELS E, V2nd
[10]
PITFIELD DE, 1989, 5TH WORLD C TRANSP R