中文摘要：

在获取24个旅游网站分省访问量资料的基础上，利用origin软件描述了其距离衰减的形态，运用区位熵、空间洛伦茨曲线与基尼系数三指标对其衰减集中度进行了计算，总结出网站信息流距离衰减集中度特征，为旅游目的地确定目标市场以及旅游网站的建设与营销提供了理论支持。研究发现：1）旅游网站信息流距离衰减主体上符合峰值衰减形态，包括指数衰减的单峰形态和高斯衰减的多峰形态，证实了地理距离仍然是虚拟旅游行为的限制因素之一。2）区位熵值大于1的省份主要是网站所在省份或经济发达省份，表明信息流距离衰减具有明显的本地集中性和经济集中性；多数旅游网站的空间洛伦茨曲线呈显著的内凹型，且基尼系数大于0．5，表明信息流距离衰减集中度较高。映射出在导引现实旅游客流的流量和流向时，考虑本地和经济发达地区访问者需求的必要性。3）各旅游网站的空间洛伦茨曲线的弯曲程度存在一定差异，且基尼系数大小不同，表明其距离衰减的集中度存在差异，各省份旅游网站信息使用强度与信息流距离衰减集中度无明显相关性。这为旅游网站所在地旅游产业发展提供了一定的指导。

英文摘要：

In this paper,24 different tourism websites was selected by counting its visitors in every province. Based on these data,the distance decay patterns were described by Origin software. Then, three indexes of location quotient, space Lorenz curve and Gini coefficient were used to study the concentration of its peak decay,and the concentration character of information flow distance decay in tourism websites was summarized. All of these give a support to tourist destination defining and tourism websites building and marketing. The study showed that： 1） Distance decay of tourism websites information flow satisfies the peak decay mainly which includes the single-peak pattern of exponential decay and multi-peak form of Gaussian decay. This can confirm geographic distance is also one of the limiting factors of virtual tourism behavior. 2） Provinces of that the location quotient greater than 1 are the site locations or economically developed areas,this phenomenon reflects the local focus and economic concentration of information flow in distance decay. Space Lorenz curve of most tourism websites are significantly concave and the Gini coefficients are more than 0.5. It is indicate that distance decay concentration of information flow is high,and reflect necessity of considering the visitors needs in local and economically developed area when guiding the quantity and direction of real tourist flow. 3） Lorenz curves of various tourism websites are different in curvature and Gini coefficients are different in sizes. It is indicate that differences are in their concentration of distance decay and there is no obvious relevance between the use intensity of tourism websites information and its concentration of distance decay.