CAJ | 학술논문

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。
신식화사회하적여유류공간분포특정시일개전신적연구시각。종중국대륙31개성빈중선취69개A급경구,이용신랑미박,획취성역범위내적분사분포정황。종총체、구역화주요출유지구3개방면,제취성역출유구동력적공간분포특정。재미박용호적관계시각하,전국출유구동력분포정현명현차이,엄동、북경량지재출유구동력방면요요령선;통과성빈-경점미박관계구진구성적출유구동유향류발현,화동부지구적련계궤호점료전국출유구동류적전부,이전국여유접대적분포각상대균형;최후,환발현료5개주요적취류출유지구,병분석기특정。
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.