| 中国自驾车旅游网络空间关注度的时空演变——基于Google搜索解析的分析 |
| |
| 引用本文： | 王章郡,方忠权,杜坤.中国自驾车旅游网络空间关注度的时空演变——基于Google搜索解析的分析[J].地域研究与开发,2011,30(5):112-117. |
| |
| 作者姓名： | 王章郡 方忠权 杜坤 |
| |
| 作者单位： | 1. 重庆旅游职业学院旅游管理系,重庆,409000
2. 广州大学中法旅游学院,广州,510006 |
| |
| 摘 要： | 网络旅游信息访问量与现实旅游市场在时间和空间上密切相关。运用Google搜索解析,对2005—2009年中国自驾车旅游网络空间关注度的时空演变特征展开研究有助于分析现实自驾车旅游市场演变规律。研究发现:(1)时间上,自驾车旅游网络空间关注度稳步增长,季节规律显著,前兆效应明显。(2)空间上,呈现出由沿海向内陆、由南方向北方的扩散规律,且各省(区、市)差异明显,可运用"份额-集中性"矩阵细分为稳定型强势市场、爆发型强势市场、爆发型弱势市场、稳定型弱势市场4种类型。
|
| 关 键 词： | 自驾车旅游 网络空间关注度 时空演变 Google搜索解析 |
Temporal-spatial Evolvement Characteristics of Cyberspace Attention Index of Self-driving Tours in China:Based on Google Insight |
| |
| Wang Zhangjun,Fang Zhongquan,Du Kun.Temporal-spatial Evolvement Characteristics of Cyberspace Attention Index of Self-driving Tours in China:Based on Google Insight[J].Areal Research and Development,2011,30(5):112-117. |
| |
| Authors: | Wang Zhangjun Fang Zhongquan Du Kun |
| |
| Institution: | Wang Zhangjun1,Fang Zhongquan2,Du Kun2(1.Tourism Department,Chongqing Vocational Institute of Tourism,Chongqing 409000,China,2.Sino-French College of Tourism,Guangzhou University,Guangzhou 510006,China) |
| |
| Abstract: | Using Google insight,the latest information flow acquisition tool,this paper analyze the temporal-spatial evolvement characteristics of cyberspace attention index of self-driving tours in China in 2005—2009,and get conclusions as follows:(1) Cyberspace attention index of self-driving tours increase steadily in recent years,and its seasonal change has high relationship with public holidays.With the decrease of concentration of public holidays,the seasonal concentration ratio of cyberspace attention index drops.(2) Network information flows connected with realistic travel flows closely.Cyberspace attention is typical precursor phenomenon of realistic travel.(3) Cyberspace attention index of every province varies from year to year.Self-driving market diffuses following the law coastal area to inland and south to north in nationwide.(4) Taking cyberspace attention index as substitute variable of market share,we can segment self-driving market into four types with "share-concentration" matrix: steady-strength type,burst-strength type,burst-weakness type,steady-weakness type. |
| |
| Keywords: | self-driving tours cyberspace attention index temporal-spatial evolvement Google insight |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
