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Oscillations extracting for the management of passenger flows in the airport of Hong Kong

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成果类型:
期刊论文
作者:
Xiao, Yi;Liu, Yang;Liu, John J.;Xiao, Jin;Hu, Yi*
通讯作者:
Hu, Yi
作者机构:
[Liu, Yang; Xiao, Yi] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
[Liu, John J.] City Univ Hong Kong, Ctr Transport Trade & Financial Studies, Hong Kong, Hong Kong, Peoples R China.
[Xiao, Jin] Sichuan Univ, Sch Business, Chengdu 610064, Peoples R China.
[Hu, Yi] Univ Chinese Acad Sci, Sch Econ & Management, Wuhan 100190, Peoples R China.
通讯机构:
[Hu, Yi] U
Univ Chinese Acad Sci, Sch Econ & Management, Wuhan 100190, Peoples R China.
语种:
英文
关键词:
passenger flow management;oscillations extracting;operation of airports;forecasting and decision-making
期刊:
Transportmetrica A: Transport Science
ISSN:
2324-9935
年:
2016
卷:
12
期:
1
页码:
65-79
基金类别:
National Social Science Foundation of China [14BGL175]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71471124, 71301160]; Sichuan Province Social Science Planning Project [SC14C019]; Excellent Youth fund of Sichuan University [2013SCU04A08]; Frontier and Cross-innovation Foundation of Sichuan University [2013SCU04A08, skqy201352]; Center for Forecasting Science of the Chinese Academy of Sciences
机构署名:
本校为第一机构
院系归属:
信息管理学院
摘要:
Managing air passenger traffic flows is important in investing and operation of airports. However, it is extremely difficult for traditional methods to analyse passenger traffic in both the short and medium terms because of the oscillation and irregularity inherent in air passenger traffic flows dynamics. In this study, we design a hybrid oscillations analysis approach. The proposed method decomposes time series into different scales, making it useful in revealing structural breaks and volatility clusters, and identifying dynamic properties of a process at specific timescales. A case study of ...

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