中国民航旅客量季节性问题研究 |
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引用本文: | 秦宏瑶,唐勇,胡丹,方艳,李晓强.中国民航旅客量季节性问题研究[J].航空计算技术,2016(5):95-98. |
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作者姓名: | 秦宏瑶 唐勇 胡丹 方艳 李晓强 |
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作者单位: | 1. 四川电影电视学院空乘系,四川成都,610036;2. 成都理工大学旅游与城乡规划学院,四川成都,610059 |
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基金项目: | 四川入境旅游发展制约因素与市场拓展研究项目资助(LYC14-30);四川省旅游业青年专家2015年度研究课题项目资助(SCTYETP2015L02) |
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摘 要: | 中国民航旅客量的季节性波动是经济学研究的重要命题。选取中国民航旅客量时间序列数据作为分析对象,采用年度季节强度指数(R)与月季指数(Zt),揭示中国民航旅客量的年度季节集中性与月度季节变化规律。 R值整体上呈现逐年递增的趋势,指标随季节变化明显,且按一定规律分布。 Zt 值指示4月、7月、8月、9月、10月为旺季,其余月份为淡季。民航旅客量淡旺季与游客出游行为、节假日长短、气候等因素有直接联系。研究结论为解决中国民航旅客量的淡旺季问题提供基础数据,也为调整航空公司在淡旺季时的人员、航班及其他工作安排,为缓解航空客流量供需不平衡的矛盾提供决策参考。
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关 键 词: | 时间序列模型 季节强度 季节分解 航空旅客量 |
Investigating Seasonality of Air Passengers in China |
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Abstract: | This study investigates seasonality of air passengers in China by using seasonality intensity and seasonal decomposition .The annual concentration index of tourist revenue ( R) reveals that seasonal con-centration through the year saw a general ascending trend spanning from 2006 to 2013 .To look deeper , the seasonal decomposition explains the time serial by using monthly seasonal indices (Zt).As a result, the peak season goes to March,June,August,September and October while the off -season falls on Janu-ary,February,and April,May,July and December.In conclusion,this study implies that there are signifi-cant correlations between public festivals and holidays with seasonal variation of air passenger indexes , and the findings with important policy implications will help understanding the seasonal pattern in air pas -sengers along the year ,and mitigating the negative effects of seasonality in the future . |
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Keywords: | time serial model seasonality intensity seasonal decomposition air passengers |
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