中国会展城市旅游微博时空分布特征及其影响因素  

Spatial-Temporal Characteristics and Influencing Factors of Tourism Microblogs to China's MICE City Based on Sina Microblog Data

作　　者：蔡卫民[1] 曾铭 李冬杰 CAI Weimin;ZENG Ming;LI Dongjie(College of Tourism,Hunan Normal University,Changsha 410081,Hunan,China;Department of Tourism Management,Zhangjiajie Institute of Aeronautical Engineering,Zhangjiajie 427000,Hunan,China;College of Tourism and History and Culture,Zhaoqing University,Zhaoqing 526061,Guangdong,China)

机构地区：[1]湖南师范大学旅游学院,中国湖南长沙410081 [2]张家界航空工业职业技术学院旅游管理系,中国湖南张家界427000 [3]肇庆学院旅游与历史文化学院,中国广东肇庆526061

出　　处：《经济地理》2020年第8期185-193,共9页Economic Geography

基　　金：湖南省社会科学基金项目(17JD55)。

摘　　要：以全国142个会展城市为研究对象,基于新浪微博平台获取2011—2018年会展城市的旅游微博数据,采用核密度、灰色关联等方法分析数据的时空特征及其影响因素。研究发现:①2011—2018年中国会展城市旅游微博时间分布上,年际变化呈现波动递增的趋势;年内变化表现为明显的"双峰一谷"模式,并有"淡季短、旺季长"的特点;节假日特征表现为节前旅游微博数明显下降,在假期第一天达到最低点,随后开始缓慢抬升,并在节后第一天明显上升,至节后第二天上升到稳定区间,总体上表现为"U"型分布。②空间分布上,空间结构由"多核"逐步转变为"弓型"的集群化分布;数据分布在部分地区集中,倾向于向高经济发展水平、高会展业发展水平、高互联网发展水平的城市聚集。③影响因素上,会展业发展水平、经济发展水平等是影响中国会展城市旅游微博时空分布的重要因素;展会数量、展览面积等是影响旅游微博时空分布的重要因素指标。With the rapid development of Internet and MICE tourism,the MICE city as the carrier of MICE activities has been receiving more and more attention from tourists in recent years.Based on a large quantity of the daily tourism microblogs data of China's MICE cities collected via Sina Microblog platform during 2011-2018,this paper tries to explore the spatial-temporal characteristics and influencing factors of tourists'tourism microblogs to MICE cities(TMMC)by means of nuclear density analysis,grey correlation analysis and so on.The study found that:1)As for temporal characteristics of TMMC,it shows an fluctuating Increment trend during 2011-2018 and"double peaks and one valley"seasonal fluctuaiton with"Short off season and long peak season"each year.In short time,the holiday feature showed that the pre-holiday attention decreased significantly,reached the lowest point on the first day of the holiday,then began to rise slowly,and increased significantly on the first day after the holiday,and rose to the stable interval on the second day after the holiday.The overall performance was"U"type distribution.2)As for spatial characteristics of TMMC,the spatial structure is gradually changed from"multi-core"to"arched"clustered distribution.The data distribution is concentrated in some regions,and tends to gather in cities with high economic development level,high development level of exhibition industry,and high Internet development level.3)Influencing factors such as the development level of the MICE industry,the level of economic development are proved to be important factors influencing the TMMC.Influencing factors indicators such as the number of exhibitions,the exhibition area are proved to be important indicators that affect the TMMC.

关 键 词：会展城市 旅游微博 节假日 集群化分布 会展业 大数据分析 

分 类 号：F59[经济管理—旅游管理]