基于百度指数的旅游目的地网络关注度影响因素分析——以青岛为例  

An Analysis on Influencing Factors of the Degree of Network Attention of Tourist Destination Based on Baidu Index : A Case of Qingdao

作　　者：李世霞[1] 田至美[1] 

机构地区：[1]首都师范大学资源环境与旅游学院,北京100048

出　　处：《首都师范大学学报（自然科学版）》2014年第1期56-59,共4页Journal of Capital Normal University：Natural Science Edition

摘　　要：互联网已经成为当前绝大部分居民出游前了解旅游相关信息的最主要渠道.基于百度指数的数据分析功能,分析旅游目的地的网络关注度变化及影响因素,对指导旅游目的地的发展具有一定的意义.以青岛为例,经检索得到青岛2011年旅游网络关注曲线,发现2011年青岛旅游网络注度时间分布特征:①在一年内,用户旅游关注相对集中;②在局部时间段内,用户旅游网络关注度存在小的峰值;③用户旅游关注度曲线呈现一种齿状波动.由此得出影响旅游目的地网络关注度的关键因素有:季节变化、闲暇时间以及旅游目的地已有知名度,三者综合作用,影响着人们对旅游目的地的关注度.The Internet has become the main channel about grasping travel-related information to most of the residents before traveling. Based on the data analysis function of Baidu Index, analysis of network attention changes of the tourism destination and the influencing factors, to guide the development of the tourism destination has certain significance. In Qingdao as an example, get Qingdao 2011 travel network attention curve by retrieving and find the time distribution features of the 2011 Qingdao tourism network attention： （1） within a year, travel attention of the user is relatively concentrated ; （2） in the local time, user travel network attention exist small peaks ; （3） the user tourist attention curve presents dentate fluctuations. Thus the affecting key factors of network attention of tourist destination are： Seasonal change, leisure time and the pre-existing popularity for tourist destination, and the comprehensive function of the three affects the people to the attention of tourism destination.

关 键 词：百度指数 网络关注度 影响因素 

分 类 号：TP393.4[自动化与计算机技术—计算机应用技术]