| 基于百度指数的旅游景区络空间关注度：时间分布及其前兆效应 |
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| 引用本文： | 李山,邱荣旭,陈玲.基于百度指数的旅游景区络空间关注度：时间分布及其前兆效应[J].地理与地理信息科学,2008,24(6). |
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| 作者姓名： | 李山 邱荣旭 陈玲 |
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| 作者单位： | 华东师范大学资源与环境科学学院、地理信息科学教育部重点实验室,上海,200062 |
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| 摘 要： | 利用百度指数提供的"用户关注度"功能,通过关键词搜索,获得中国第一批66个5A级旅游景区2006年9月1日至2007年8月31日每天的络空间关注度数据,并对其中具有完整数据系列的53个景区展开统计分析。研究表明,旅游景区络空间关注度在时间分布上具有以下特征:周内呈现周四三二高、周日与周六低的"手掌"模式,其中南方景区和自然类景区尤为明显;年内呈现4月、8月最高的"双峰"模式,其中自然类景区表现出4月、7月、9月最高的"三峰"模式。研究还发现,旅游景区络空间关注度是其现实游客量的前兆:周内表现为"日前兆",即一周之内,以周五为代表的旅游景区工作日络空间关注度是其周末游客量的前兆;年内表现为"旬前兆",即一年之中,旅游景区络空间关注度是其后1～2周游客量的前兆。"前兆效应"也呈现出一定的不确定性,相关机制尚待研究。
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| 关 键 词： | 网络空间 信息流 旅游流 旅游网站 导引作用 |
Cyberspace Attention of Tourist Attractions Based on Baidu Index:Temporal Distribution and Precursor Effect |
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| LI Shan,QIU Rong-xu,CHEN Ling.Cyberspace Attention of Tourist Attractions Based on Baidu Index:Temporal Distribution and Precursor Effect[J].Geography and Geo-Information Science,2008,24(6). |
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| Authors: | LI Shan QIU Rong-xu CHEN Ling |
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| Abstract: | Based on the "Degree of Consumer Attention" function provided by Baidu.com,the everyday cyberspace attention data from September 1,2006 to August 31,2007 about the 66 5A-level tourist attractions of China were gotten.A statistical analysis based on 53 5A-level tourist attractions shows that the cyberspace attention of tourist attractions has the following temporal characteristics:1) The weekly distribution takes on a "palm-shape" mode with Thursday,Wednesday and Tuesday at the highest point while Sunday and Saturday at the lowest point,especially in southern and natural tourist attractions.2) The monthly distribution takes on a "two-peak" mode which has the highest points at April and August in addition to natural tourist attractions' "three-peak"(April,July and September) mode.The study also finds that the cyberspace attention of tourist attractions is the precursor of its visitors.Performance of the week shows "day premonition",with which Friday is the representative precursor of the working day to visitors in weekend.Performance of the year takes on "ten days premonition",that is the cyberspace attention of tourist attractions is precursor of the visitors in the subsequent one to two weeks.However the "precursor effect" of the cyberspace attention of tourist attractions also shows uncertainty,which needs to be further explored. |
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| Keywords: | cyberspace information flow tourist flow tourism website guidance function |
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