中文摘要：

应用国内不同类型旅游网站Alexa排名和访问量查询系统,获得了一组不同起始时间的日内、周内、年内访问者行为的时间序列资料,基此研究了多时间维度下的旅游网站访问者行为特征,研究中特别关注旅游网站交互功能的作用。首先给出了一种分析多维时间序列的＂多时间维度＂方法,以便用单一的集合数据测量若干时间序列周期的访问量变动;然后解释了这些行为特征可能受到的不同旅游网站功能的影响。研究发现：访问者在日内行为上不断增多的均匀化分布主要发生在网上交流与组织功能较强大的网站类型中;访问者在周内行为上周末较少状态的改变以信息功能类网站表现显著;访问者在年内行为上也因旅游网站功能不同而存在一定差异,节后访问高峰现象与新的网站功能的使用密切相关。研究认为：①通过访问量活跃率拟合的成熟曲线能够表述访问者行为随时间变化的特征,成熟曲线与均值线的比较说明了活跃率的偏离情况。②访问者行为时间分布形态的广泛化和复杂化是基于网站需求的多样化及相应的网站使用时间延长而产生的,正是多样性的需求极大地弱化了传统的活跃率分布规律。③弄清楚旅游网站访问者行为的时间分布的多样性变化,有助于实行针对性的网上产品设计与服务。对电子服务企业开发电子商务而言,有助于建立依据时间分布多样性需求的网络营销战略与网站广告设置。

英文摘要：

we get the time series data of visitors’ behavior in a day, a week, and a year by using Alexa and traffic inquiry system of various types of tourism website in China. Based on the above, we study the character of visitors’ behavior under the multiple time dimensions, and especially focus on the role of interactive function of tourism website. This study argues that： ①The maturation curve fitted by traffic activity rate can expresses the character of visitors’ behavior changing with time, and the comparison of maturation curve and evened value curve shows the deviation of activity rate. ②The extension and complication of time distribution form of the visitors’ behavior generates based on the diversification of website needs and corresponding use time extension of website. It is the diversify needs that largely weaken the traditional distribution law of activity rate. ③Clarify the time distribution diversity change of visitors’ behavior in tourism website contributes to carry out pertinence product design and service online. When come to E-service enterprise developing E-commerce, we can establish website marketing strategy and website advertisement set according to the diversity needs of time distribution.