【摘要】 随着电子产品的广泛普及和网络技术的快速发展,旅游行为足迹通过各种形式上传至网上已成为一种时尚,游客上传分享的网络游记为研究游客时空行为提供了大量的开放数据资源,而这些数据资源为区域旅游的时空行为研究提供了参考。利用"火车头采集器",收集了外地游客在2013年1月—2015年9月游览兰州市后在"马蜂窝"网站记录下的440篇游记作为论文的基础数据,综合应用社会网络分析方法,对兰州市外地游客旅游流的时空行为特征进行了研究。结果表明,游客滞留时间短,流量"季相"变化明显,旅游热点区域高度集中,游客移动轨迹表现出显著的"轴线—散点"特征。这与兰州市旅游网络结构密切相关:知名度较高的旅游节点占据整个网络的中心位置,中心性高,集聚和辐射能力很强,对其他景点的到访次数影响力较大,并形成了7个小子群,子群内部连接度高,而子群间的联系不紧密,旅游流网络密度低,整体旅游线路较少。因此,旅游流表现出高度的空间偏聚性,"核心—边缘"结构特征明显。更多还原

【Abstract】 It was a fashion that tourism behavior footprints were uploaded on the internet through various forms with the popularity of electronics and the development of network technology,which also provided lots of open data resources to study human temporal-spatial behavior.This paper,by the way of Locoy Spider,studied 440 travels on"Mafengwo",which was written by out-of-town visitors after visiting Lanzhou form January2013 to September 2015.And it specifically analyzed the characteristics of the out-of-town tourism flow temporal-spatial behavior by using the social network analysis method.The results showed that short time for the visiting,the seasonal changed"of flow obviously,such as:Short visiting time,the floating of tourist flow from season to season,high concentration of tourist hot spots and the"axis-scattered point"characteristic of tourist track.These characteristics were closely related to the structure of the tourism network of Lanzhou City,for instance,its high-profile tourism nodes occupied the center of the entire network,which with high centricity and high gathering and radiating ability,exerted sound influence on the number of visits to other attractions.And there were seven subgroups formed on the basis of the high-profile tourism nodes,but the relationships among these subgroups were not tight and the density of tourist flow network was also low,so that the overall travel routes were just few.Therefore,tourist flow presented high part-cohesion on space,sucs as the characteristic of "core-edge".更多还原