基于微博大数据的西安国内游客日内时间分布模式研究.pdfVIP

人文地理 2016年第3期总第149期 文章编号:1003-2398(2016)03-0151-09 DOI:10.13959/j.issn. 1003-2398.2016.03.022 基于微博大数据的西安国内游客日内时间分布模式研究 1 2 唐 佳 ，李君轶 （1.南京大学建筑与城市规划学院，南京210093 ； 2.陕西师范大学旅游与环境学院，西安710062 ） AA STUDYSTUDY ONON THETHE TEMPORALTEMPORAL DISTRIBUTIONDISTRIBUTION PATTERNPATTERN OFOF DOMESTICDOMESTIC TOURISTSTOURISTS ININ XIXI ’’ANAN BYBY HOURSHOURS BASEDBASED ONON THETHE MICROBLOGMICROBLOG BIGBIG DATADATA 1 2 TANG Jia , LI Jun-yi (1.SchoolofArchitectureandUrbanPlanning,Nanjing University,Nanjing 210093,China; 2.CollegeofTourismandEnvironment,ShaanxiNormalUniversity,Xian710062,China) Abstract: The researches on temporal behaviors rules of tourist flow are usually made from macro perspec- tive rather than micro perspective. With the advent of the mobile Internet and big data, the researches on tem- poral behavior rules of tourist flow is entering a new stage. With the example of Xian, this paper studies the temporal distribution pattern of domestic tourists by hours based on the microblog big data which are gener- ated by tourists. 388,676 geotagged messages were obtained through calling the open API of Sina Microb- log. After filtering, 131,960 available data are reserved for studying. First, from the general perspective, this paper studies the comparison of check-in pattern of domestic tourists by hours in Xian and ordinary users, then explores the temporal distribution pattern of tourists by hours in important travel notes. The study found that: ①there are greater differences in ch