不同出游时间视角下游客流动网络结构及其分异特征——以西安市为例

以热门旅游城市西安市为研究区域，采集网络游记数据，综合运用社会网络分析和GIS空间分析方法，探讨不同出游时间下的游客流动网络结构及其分异特征，研究发现：① 不同的出游时间约束下，游客旅游出行行为表现出显著的时间异质性。② 基于游客流动的西安市旅游吸引物的节点结构具有显著的等级规模分异特征，随着出游时间的增加，旅游节点等级结构体系呈现出以高等级景点为枢纽的“强强”关联特征，高等级景点的游客集聚功能提升显著。③ 随着出游时间增加，西安市区旅游节点核心?边缘结构越明显，核心区的节点联系强度越大，区位邻近、知名度接近与交通便利是形成景点组团的关键因子。

The Structure of Tourist Flow Network and Its Different Characteristics from the Perspective of Different Travel Time:A Case Study of Xi'an City

Tourism flow research is the core topic of tourism geography. With the development of urban tourism and the transformation of functions, the micro-scale tourist flow has an increasingly significant impact on the internal spatial structure of cities. This study takes the popular tourist city of Xi’an as the research area, collects online travel notes data, uses social network analysis and GIS spatial analysis methods to explore the structure of the tourist flow network and its different characteristics under different travel times. The main conclusions are as follows: 1) Under different travel time constraints, tourists’ travel behaviors show significant temporal heterogeneity. 2) The node structure of Xi’an tourist attractions has significant hierarchical and scale differences. With the increase of travel time, the hierarchical structure system of tourist nodes presents the characteristics of “strong and strong” association with high-level attractions as the hub. The tourist gathering function of high-level attractions has improved significantly. 3) Location proximity, proximity to popularity and convenient transportation are the key factors for the formation of attractions group.