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- W2357583107 abstract "Based on the data of seasonal variations and multiple time scale features of tourist arrivals in Huangshan Scenic Areas during 24 years between January 1987 and December 2010,this paper makes an analysis on the seasonal variations and multiple time scale features of tourist arrivals by applying TRAMO / SEATS and wavelet analysis methods. The results show: a. the seasonal variations including monthly fluctuations and annual variability of seasonal fluctuations is significant with too long off-season and too large gap between off-season and shoulder-peak season, a problem faced by Huangshan Scenic Areas; b. there are four significant periodic variations at scales of 6 months,12 months,29 months and 60 months of which 12-month periodic variation is most significant and throughout all 24 years; c. 6-month and 12-month periodic variations reflected monthly changes of the year and cyclical seasonal changes of the years by effect of seasonal factors,and it was preliminarily inferred that 29-month and 60-month periodic variations were the results of interactions of tourism industry fluctuation cycle,regional economic cycle and external shocks of crisis events. The article ends with some corresponding strategies." @default.
- W2357583107 created "2016-06-24" @default.
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- W2357583107 date "2014-01-01" @default.
- W2357583107 modified "2023-09-26" @default.
- W2357583107 title "An Analysis on Multiple Time Scale Features of the Fluctuations of Tourist Arrivals in Huangshan Scenic Areas" @default.
- W2357583107 hasPublicationYear "2014" @default.
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