The Concentration Analysis on Distance Decay of Information Flow in Tourism Websites

  • Faculty of Tourism, Hebei Normal University, Shijiazhuang, Hebei 050091, China

Received date: 2010-09-13

  Revised date: 2011-04-07

  Online published: 1997-07-20


This paper gets the traffic data of each province in 24 tourism websites by using Baidu, Google, Alexa, Cnzz and other Internet search engines and statistic tool of website traffic.It evaluates the curve model of distance decay of information flow in tourism website, and based on this, further explores the concentration of distance decay of information flow in tourism website.This study includes three stages in which those websites are analyzed by means of going forward by using Zipf law, geographic concentration index and the exponential model.The paper not only describes the concentration of spatial distribution, but also reveals the character of local concentration and economic concentration, and discusses the relationship between local concentration and compliance of exponential model.The research findings are:① rank-size distribution of information flow in tourism website follows Zipf law, mainly shows a single fractal characteristic, and the main scale structure of information flow shows Pareto distribution pattern with significant concentration of spatial distribution.The concentration changed correspondingly with the value of fractal dimension.② The provinces that location quotient value of distance decay of information flow in tourism website bigger than 1 are the tourism website located provinces or economy developed provinces.And the distance decay has obvious local concentration and economic concentration.The spatial Lorenz curve of the distance decay of information flow in tourism websites are concave, and the Gini coefficients of the most tourism websites are more than 0.5.The concentration of distance decay is higher, and imbalance in spatial distribution.③ The local concentration of distance decay of information flow in tourism website is influenced by the nature of the tourism website.The stronger local concentration, the higher of the (goodness-of-fit index), the better match of exponential model with the data points of the website, the closer to standard curve of the various provinces’traffic, the higher match with the fitting curves, the higher traffic proportion of tourism website located province.④ The concentration character of information flow distance decay in tourism websites give a theoretical support to tourist destination defining and tourism websites building and marketing.

Cite this article

ZHANG Qiu-Luan, LU Zi . The Concentration Analysis on Distance Decay of Information Flow in Tourism Websites[J]. SCIENTIA GEOGRAPHICA SINICA, 2011 , 31(7) : 885 -890 . DOI: 10.13249/j.cnki.sgs.2011.07.885


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