关键词: 游客流, 时间特性, 小波分析, 九寨沟

Abstract: This paper introduces the wavelet tool and 4 indexes to quantify the temporal characteristics of tourist flows. Based on the monthly visitor data from 1994-2006 and daily visitor data from 2003-2006 which were mainly collected through JDS (Jiuzhaigou digital system), the multi-time scales characteristics of tourist flow along the time series were analyzed by using the morlet wavelet transform. The complex structure of multi-time scales are exhibited, also, the periodic oscillation and the main periods of tourist flows at different scales are identified through Wavelet Toolbox in MATALAB 7.3. The results show that 1) during 1994-2006, the number of tourists increased rapidly in the way of cubic function and curve of tourists had apparently 3 peaks in July-August, October, and May respectively; 2) at the month scale, the trend of tourist fluctuation decreased overtime; 3) in the past 13 years, there was an approximately 1 year period in the tourist time series. Furthermore, 50-70 days was another period in 2003-2006. After applying wavelet tool to analysis tourist flows, this article argues that the localization characteristics of time-frequency for wavelet analysis can effectively demonstrate the detailed structures of tourist flows. Wavelet is a promising method to analyze temporal characteristics of tourist flows, and the findings can provide a scientific guideline for adjusting and controlling tourist flows.

Key words: tourist flows, temporal characteristics, wavelet analysis, Jiuzhaigou