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通过百度、Google、Alexa、Cnzz等多种网络搜索引擎和网站访问量统计工具获取了24个旅游网站分省访问量资料,运用Origin软件评估了旅游网站信息流距离衰减的曲线模型,在此基础上深入研究了旅游网站信息流距离衰减的集中度问题。研究经过3个阶段,逐级递进分别应用Zipf定律、地理集中度指数和指数模型3种方法,描述了空间分布的集中性,揭示了本地集中性与经济集中性特征,讨论了本地集中性与指数模型符合性的关系。研究发现:①旅游网站信息流的位序—规模分布符合Zipf定律,以单分形特征为主,其信息流的规模结构主体呈Pareto分布模式,具有明显的空间分布集中性,该集中性表现为随分维值大小而相应变化。②各旅游网站信息流距离衰减的区位商值大于1的省份主要为网站所在省或经济发达省份,距离衰减具有明显的本地集中性和经济集中性特征;各旅游网站信息流距离衰减的空间洛伦茨曲线呈内凹型,且多数网站基尼系数大于0.5,距离衰减的集中度较高、空间分布不均衡。③旅游网站信息流距离衰减的本地集中性受旅游网站性质影响,且其本地集中性越强,指数模型拟合优度指数越高,指数模型与网站数据点的匹配效果越好,各省份访问量越接近标准曲线,与拟合曲线的吻合度越高。④旅游网站信息流距离衰减的集中性特征,为旅游目的地确定目标市场和旅游网站的建设与营销提供了理论支持。
By using various web search engines and website traffic statistics tools such as Baidu, Google, Alexa, Cnzz and so on, we obtained the travel statistics of 24 tourist sites by province, and used the software of Origin to evaluate the curve model of distance decay of tourism website’s information flow. Based on this, On the depth of the tourism website information flow attenuation of the concentration of the problem. After three stages, the study applied three kinds of methods: Zipf’s law, geographical concentration index and index model respectively, describing the concentration of spatial distribution, revealing the characteristics of local concentration and economic concentration, and discussing the local concentration Relationship with index model compliance. The findings are as follows: (1) The order of tourism information flow - Zipf’s distribution of size distribution is consistent with Zipf’s law, which is dominated by single fractal features. The main body of information flow is Pareto distribution pattern with obvious concentration of spatial distribution With the fractal dimension value and the corresponding changes. (2) The provinces where the value of traffic flow attenuation is greater than 1 are mainly located in the provinces where the websites are located or economically developed provinces, and the distance attenuation has obvious local concentration and economic concentration characteristics; the information flow of tourist websites is decaying space Lenze curve is concave, and the majority of sites Gini coefficient is greater than 0.5, the concentration of distance attenuation is higher, the spatial distribution is not balanced. (3) The local concentration of information flow decay in tourism websites is influenced by the nature of travel websites, and the local concentration is stronger. The higher the goodness index of the index model fitting, the better the match between index model and website data points, The closer the amount to the standard curve, the higher the fit to the fitted curve. ④ The centralized characteristics of the distance of information flow in tourism websites decay, which provides theoretical support for the construction and marketing of target markets and travel websites for tourism destinations.