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。
The paper takes the relative quantity of Wuhan tourism microblog fans and the spatial distribution regulation of tour-ists coming to Wuhan as the research object, and uses some statistical methods, such as spatial analysis, product moment, Spearman rank, and Kendallcorrelation analysis to reveal the correlation between the two variables. The research shows that the quantity of Wu-han tourism microblog fans has obvious provincial difference, and highly concentrated of the spatial distribution, information flow and traffic flow also have certain characteristics of regional differentiation ; the domestic passenger flow distribution in Wuhan has obvious distance decay characteristics no matter in inter - provincial or regional areas, destination has a fan - like distribution characteristic a-long the main traffic routes. Tourists, who obtain the tourism information through microblog, account for 74% of the total number of tourists; the relative quantity of Wuhan tourism microblog fans and the number of tourists coming to Wuhan has been highly signifi-cantly positive correlation, the amount of microblog information transmission and the tourists flow interact with one another and the two variables are affected by their own and external factors, while the other factors are also related to each other.
出处
《旅游研究》
2016年第6期31-37,共7页
Tourism Research
关键词
旅游微博
信息流
游客流
空间格局
相关性
武汉
tourism microblog information flow tourists flow spatial distribution correlation Wuhan
