作　　者： ; ; ; ;

机构地区： 陕西师范大学旅游与环境学院

出　　处： 《经济地理》 2011年第4期680-685,共6页

摘　　要： 系统收集城市客流量及游客网络关注度数据,分析影响客流量及游客网络关注度时空变化的主要因素及其边际效应,构建了国内游客量与游客网络关注度的时空相关模型。结果显示:①气候舒适度、双休节假日等是影响客流量及游客网络关注度年内变化的主要因素,气候舒适度及节假日对客流量和游客网络关注度月指数的边际效应系数分别为0.207、4.173和0.743、5.093;②旅游资源丰度、经济发展水平、人口数量、气候舒适度等是影响客流量及游客网络关注度空间分布的主要因素,其对客流量及游客网络关注度空间分布的边际效应系数分别为37.102、0.683、1.356、47.175和0.397、0.002、0.005、0.786;③游客网络关注度与客流量在时空变化上有较强的相关性,游客网络关注度月指数每变化1%,客流量月指数将增加(或减少)0.611%,游客网络关注度每增加(或减少)1万次,客流量将增加(或减少)125.866万人次。 Based on the data of domestic tourists and network attention,the time and spacial distribution of domestic tourists and network attention in cities are analyzed.Correlative models of time and spacial distribution of domestic tourists and network attention are founded.Result shows that： ①Factors such as climate comfort degree,holidays are the main factors affecting the time distribution of domestic tourists and network attention.The coefficient of marginal utility of climate comfort degree and holidays to monthly index of domestic tourists and network attention are 0.207,4.173 and 0.743,5.093.②Factors such as resource abundance,the level of economic development,population,climate comfort degree are the main factors affecting the spacial distribution of domestic tourists and network attention.Their coefficient of marginal utility to spacial distribution of domestic tourists and network attention are 37.102,0.683,1.356,47.175 and 0.397,0.002,0.005,0.786.③There is a correlative relationship between domestic tourists and network attention both in time and spacial distribution.The monthly index of network attention change one percent,the monthly index of domestic tourists will increase（decrease） 0.611%.Domestic tourists will increase（decrease）1.26 million,if the network attention increase（decrease） 10,000 times.

关 键 词： 城市 国内游客 网络关注度 时空分布 相关分析

领　　域： [经济管理] [经济管理]