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Behavior Analysis of Self-Driving Tourists Based on Content Analysis of Network Travel Notes: A Case Study of the Inner Mongolia Autonomous Region
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  • 英文篇名:Behavior Analysis of Self-Driving Tourists Based on Content Analysis of Network Travel Notes: A Case Study of the Inner Mongolia Autonomous Region
  • 作者:HAN ; Dong ; TANG ; Jia ; HUANG ; Lihua ; JIA ; Lei
  • 英文作者:HAN Dong;TANG Jia;HUANG Lihua;JIA Lei;College of History and Tourism Culture, Inner Mongolia University;School of Architecture and Urban Planning, Nanjing University;
  • 英文关键词:Self-driving tour;;Tourists'behaviors;;Inner Mongolia Autonomous Region
  • 中文刊名:JLDR
  • 英文刊名:景观研究(英文版)
  • 机构:College of History and Tourism Culture, Inner Mongolia University;School of Architecture and Urban Planning, Nanjing University;
  • 出版日期:2018-08-15
  • 出版单位:Journal of Landscape Research
  • 年:2018
  • 期:v.10
  • 基金:Sponsored by Scientific Research Projects of Colleges and Universities in the Inner Mongolia Autonomous Region(NJSY018)
  • 语种:英文;
  • 页:JLDR201804031
  • 页数:7
  • CN:04
  • 分类号:141-147
摘要
Self-driving tour is one of the most important ways for people to travel, and network travel notes actually reflect the traveling information of self-driving tourists. In this paper, with the network travel notes of self-driving tourists as the research object, methods such as text analysis and visualization were adopted to study behavior patterns of self-driving tourists, tourism experience,time-space migration, and distribution of tourism resources in Inner Mongolia, from the multiple dimensions of mobile drivers,perceived dimensions, and spatial migration. The results showed that: ① self-driving tourists had a variety of motivations for traveling, in which love for nature dominated; ② self-driving tour destinations were mainly Hulunbuir,Ordos,and Alxa League;③ spatial migration was characterized by obvious seasonal fluctuations. The research on the behavior of self-driving tourists in Inner Mongolia is an important part for the study of the connection between tourism resources and market connection in Inner Mongolia, and is of significance for guiding the theory, practice and policy formulation of self-driving tours in Inner Mongolia.
        Self-driving tour is one of the most important ways for people to travel, and network travel notes actually reflect the traveling information of self-driving tourists. In this paper, with the network travel notes of self-driving tourists as the research object, methods such as text analysis and visualization were adopted to study behavior patterns of self-driving tourists, tourism experience,time-space migration, and distribution of tourism resources in Inner Mongolia, from the multiple dimensions of mobile drivers,perceived dimensions, and spatial migration. The results showed that: ① self-driving tourists had a variety of motivations for traveling, in which love for nature dominated; ② self-driving tour destinations were mainly Hulunbuir,Ordos,and Alxa League;③ spatial migration was characterized by obvious seasonal fluctuations. The research on the behavior of self-driving tourists in Inner Mongolia is an important part for the study of the connection between tourism resources and market connection in Inner Mongolia, and is of significance for guiding the theory, practice and policy formulation of self-driving tours in Inner Mongolia.
引文
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