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首页> 外文期刊>Fresenius environmental bulletin >STUDY ON CHARACTERISTICSOF TOURIST FLOW FLUCTUATION IN SCENIC SPOTSIN BIG DATA BASED ON ECOLOGICAL THEORY
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STUDY ON CHARACTERISTICSOF TOURIST FLOW FLUCTUATION IN SCENIC SPOTSIN BIG DATA BASED ON ECOLOGICAL THEORY

机译：基于生态学理论的大数据景点旅游流动波动特征研究

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摘要

The rapid development of information technol- ogy makes all walks of life high efficient, convenient and technical. The application of big data analysis technology in the analysis of tourist flow in scenicspots not only saves human resources and time costs, but also improves the efficiency and accuracy of the analysis. This research analyzed characteristic of tourist flow fluctuation based on GPS in Weibo. Calling API interface of Sina Weibo open platform by using programs, this paper selected data attrib- utes, collection center and time period, selected the data of tourists blocking in Sina Weibo in 2019, and after screening, the time period difference, gender difference and source difference of Baiyun Moun- tain tourist flow can be analyzed. It can be summed up that the overall fluctuation of tourist flow in Bai- yun Mountain in different time periods was M- shaped, which was affected by winter and summer holidays, legal holidays and climate. The reason why the number of female who have clocked in was more than that of male was that female tourists were betterat sharing, and the foreign tourists flow was also af. fected by legal holidays.
机译：信息技术的快速发展使得各行各业高效，方便和技术。大数据分析技术在演出中的旅游流量分析中的应用不仅可以节省人力资源和时间成本，而且还提高了分析的效率和准确性。本研究分析了基于GPS在微博的旅游流动波动的特征。通过使用计划调用新浪微博开放平台的API接口，本文选择了数据属性，集合中心和时间段，选择了2019年在新浪微博的游客封锁的数据，并在筛选后，时间差异，性别差异和可以分析白云的源区差异。它可以总结起来，在不同时间段的白云山旅游流量的整体波动是M形，受冬季和暑假，法律假期和气候的影响。有些人的数量超过男性的女性是女性游客越来越聪明，而外国游客的流动也是AF。由法律假期所产生。

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