新浪武汉旅游微博信息流与游客流关系研究

发布时间：2018-01-14 21:30

  本文关键词：新浪武汉旅游微博信息流与游客流关系研究　出处：《旅游研究》2016年06期 　论文类型：期刊论文

  更多相关文章： 旅游微博 信息流 游客流 空间格局 相关性 武汉

【摘要】：运用空间分析法、积矩、Spearman等级、Kendall相关分析等方法,将武汉旅游微博粉丝相对量、来汉游客空间分布规律作为研究对象,并探究两变量之间的相关性及其影响因素。研究表明,武汉旅游微博用户粉丝来源省际差异明显并呈阶梯状分布格局,且以其网络关注度为代表的信息流和主要交通流也具有一定的地域分异特征;武汉国内客流分布省际、区域均具有明显的距离衰减的特征,客源地具有沿交通主干线呈扇状展开的分布特征,在以武汉为目的地旅游的所有游客中,通过微博获取旅游信息的游客占总游客数量的74%;武汉旅游微博粉丝相对量与实地来汉游客数量呈显著高度正相关,微博信息传递量和游客流相互作用,并受自身及外部的因素共同影响,同时各因素之间也相互关联。
[Abstract]:By using the spatial analysis method and the Kendall correlation analysis of Spearman rank, the relative number of fans and the spatial distribution of tourists from Wuhan tourist microblog are taken as the object of study. And explore the correlation between the two variables and its influencing factors. The study shows that the distribution pattern of Wuhan tourism micro-blog user fan sources is obvious and ladder. And the information flow and the main traffic flow represented by its network concern also have the characteristic of regional differentiation. The distribution of domestic passenger flow in Wuhan has the characteristics of obvious distance attenuation, and the tourist source has the characteristics of fan-shaped distribution along the main traffic trunk line, among all the tourists who take Wuhan as the destination. The number of tourists who obtain tourist information through Weibo accounts for 74% of the total number of tourists; There is a significant positive correlation between the relative number of followers and the number of tourists in the field. The amount of microblog information transmission and the flow of tourists interact with each other and are affected by their own and external factors. At the same time, the factors are also related to each other.
【作者单位】： 华中师范大学城市与环境科学学院;中国旅游研究院武汉分院;
【分类号】：F592.7;F274
【正文快照】： 随着“大数据”时代的到来,具有较强互动性、庞大参与量、广阔覆盖面、较快传播速度及小开销代价的微博,已经成为重要的信息传播平台[1]。《第37次中国互联网络发展状况统计报告》表明,2015年中国网民规模为6.88亿,其中微博使用率为33.5%。截至2015年6月,使用新浪微博的用户占，

本文编号：1425414