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驴友网络信息搜索行为及其对出游决策影响分析——以西安驴友为例
引用本文:张高军,李君轶,王晓峰,高军.驴友网络信息搜索行为及其对出游决策影响分析——以西安驴友为例[J].干旱区资源与环境,2013(6):198-202.
作者姓名:张高军  李君轶  王晓峰  高军
作者单位:陕西师范大学旅游与环境学院
基金项目:国家自然科学基金"区域旅游流对旅游网络信息的时空响应研究"(编号41001077);西安社科规划基金重大课题(编号11Y027);陕西师范大学研究生培养创新基金(2012CXS015)联合资助
摘    要:旅游决策是旅游研究的重要内容之一,而旅游决策的基础依赖于旅游相关信息的搜集。借助于主成分分析方法,以西安驴友为例,对驴友进行旅游网络信息搜索的行为特征进行实证研究,结果发现:1)随着互联网的发展,网络已经成为驴友进行旅游信息搜集的重要手段;2)在众多网站类型中,驴友偏好于使用大型搜索引擎和专业的驴友网站进行旅游信息搜集;3)旅游网络信息对驴友决策影响最大的五个主成分因子分别是核心吸引力因子、旅游产品因子、交流共享因子、旅游环境因子、旅游消费因子。最后,依据研究所获得的结果,对国内旅游网络信息优化建设提出了一些建议。

关 键 词:驴友  旅游网络信息  主成分分析  出游决策

Online tourism information search behavior of backpackers and its influence on tourism decision:A case study of backpackers in Xi'an
ZHANG Gaojun.Online tourism information search behavior of backpackers and its influence on tourism decision:A case study of backpackers in Xi'an[J].Journal of Arid Land Resources and Environment,2013(6):198-202.
Authors:ZHANG Gaojun
Institution:ZHANG Gaojun,LI Junyi,WANG Xiaofeng,Gao jun(College of Tourism and Environment,Shaanxi Normal University,Xi’an Shaanxi 710062,P.R.China)
Abstract:Tourism decision is one of the most important fields in tourism research based on the collection of tourism information.With the support of principal component factor analysis,the backpackers in Xi'an were taken as an example to study the behavior character of tourism information gathering.The result shows that firstly,as the development of internet,it has been an important way ro gather information.Secondly,the large search engines and pofessional websites for backpackers are the most popular ways to gather tourism information,and thirdly,the five main component factors which greatest influencing the decision of backpackers were extracted,they are the core attract factor,tourism product factor appeal,share factor,tourism environment factor,tourism consumption factors.Finally,according to conclusion got in this article,some suggestions were given to improve the construction of domestic tourism information network.
Keywords:backpacker  network tourism information  principal component factor analysis  tourism decision
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