摘要
基于"迈点"网站公布的酒店品牌指数MBI排名,利用时间日志调查系统和Alexa访问量查询系统,跟踪获取了一系列周、月、年内访问者行为的时间分布资料。采取多时间维度方法,描绘出一系列连续的折线来反映用户的访问趋势,分析酒店网站访问者的行为特征。研究结果表明,在周内分布特征方面,国际高端酒店网站呈现三种表现形态;国内高端酒店、经济型酒店和中端酒店网站均呈现两种表现形态。在月内分布特征方面,国际高端酒店和中端酒店网站呈现三峰态势;国内高端酒店网站呈现双峰态势;经济型酒店和精品酒店网站呈现单峰态势。在年内分布特征方面,国际和国内高端酒店、经济型酒店和中端酒店的网站访问峰值分布于不同月份;精品酒店网站波动不明显。
Based on the hotel website rankings of Maidian hotel brand MBI index, we use the time diary survey system and Alexa traffic query system to track the visitors＇ behavior and obtain a series of data on weeks, months, years time dimension. We adopt multi temporal dimensions method to describe a series of continuous lines to reflect user access tendency and analyze the behavior trait of hotel website visitors. The research results show that international upscale hotel website presents three kinds of graphs. The domestic upscale, mid - scale hotel website presents two kinds of graphs. International upscale hotel and mid - scale hotel website presents three peaks; the domestic upscale hotel website presents two peaks; mid - scale hotel and economy hotel website presents steadiness. International upseale hotel website＇s, domestic upscale hotel website＇s, economy hotel website＇s, mid - scale hotel website＇s peaks appear in different months. The graph of boutique hotel website appears smooth and steady.
出处
《旅游研究》
2015年第4期77-84,共8页
Tourism Research
关键词
酒店网站
访问者行为
多时间维度
hotel website
user behavior
multi temporal dimensions
