基于新浪微博的省域出游驱动力空间分布特征

Spatial Distribution of Provincial Traveling Driving Force Based on the Sina Micro-blog

信息化社会下的旅游流空间分布特征是一个全新的研究视角。从中国大陆31个省份中选取69个A级景区,利用新浪微博,获取省域范围内的粉丝分布情况。从总体、区域和主要出游地区3个方面,提取省域出游驱动力的空间分布特征。在微博用户的关系视角下,全国出游驱动力分布呈现明显差异,广东、北京两地在出游驱动力方面遥遥领先;通过省份-景点微博关系矩阵构成的出游驱动有向流发现,和东部地区的联系几乎占了全国出游驱动流的全部,而全国旅游接待的分布却相对均衡;最后,还发现了5个主要的聚类出游地区,并分析其特征。

In the information society,the changes of tourist flow distribution is a totally new research perspective. This paper selected 69 A-level scenic spots from all of the 31 provinces,autonomous regions and municipalities. Using the official Sina micro-blog,we got the provincial domain-wide distribution of the followers. From the following three aspects of general rules,regional features and main travel district characteristics,the study found the spatial distribution of provincial traveling driving force. Results have shown that significant differences have been found in the distribution of the traveling driving force and Guangdong Province and Beijing are ahead of all.Constructing the tourism driven flow with direction,we discover that connection to the eastern region accounts for almost all of the tourism driven flow,and the distribution of tourist reception is relatively balanced. Finally,five major clustering travel regions have been found.