Research on spatial and temporal characteristics of outdoor sports tourism flow in the Yangtze River Economic Belt based on the network data mining
With the digital transformation of tourism and the increasing popularity of online travel websites,online travel notes mining based on Python technology provide reliable data sources and open up new research methods for outdoor sports tourism research,which is of great significance for further understanding the development of outdoor sports tourism.This study comprehensively utilizes GIS spatial analysis and statistical analysis methods to investigate the temporal and spatial characteristics of outdoor sports tourism flows in the Yangtze River Economic Belt.The findings are as follows:1)in terms of time,the annual variation of outdoor sports tourism flows exhibits a"mountain range"-like peak-forest structure distribution and a"three peaks and four troughs"peak-forest structural variation pattern.The seasonal variation characteristics of outdoor sports tourism flows are pronounced,indicating an unstable development trend.Significant peaks in outdoor sports tourism flows occur during the Qingming Festival holiday,the May Day holiday,and the National Day holiday,forming three distinct peaks.The outdoor sports tourism flows begin to increase from Friday,reaching a peak on Saturday,with weekly fluctuations showing a pattern of off-season to peak-season traffic＞peak-season to off-season traffic＞off-season traffic＞peak-season traffic＞overall traffic.2)In terms of space,the origins of outdoor sports tourism flows are mainly distributed in the Yangtze River Delta urban agglomeration in the lower reaches of the Yangtze River,showing a clear trend of agglomeration.The destinations of outdoor sports tourism flows are primarily located in cities with abundant outdoor sports tourism resources,exhibiting a spatial distribution characteristic of"large dispersion and small agglomeration."The radiation centers of outdoor sports tourism flows are urban nodes such as Chengdu and Shanghai,which have high volumes and frequencies of tourist flows.And specifically,these centers demonstrate notable geographical proximity effects and frequent flows between economically developed cities and cities rich in outdoor sports tourism resources.
outdoor sports tourism flowonline travel notesbig data of tourismYangtze River Economic Beltspatial and temporal characteristics
万方数据
维普
