摘要
以2021年国内286个地级及以上城市间旅游信息流数据为基础,构建我国城市旅游信息流空间网络,采用ArcGIS空间可视化分析法和社会网络分析法探析中国城市旅游信息流空间网络格局及其复杂性。研究发现:①中国城市旅游信息流量空间异质性显著。中国城市旅游信息流网络联系呈现立体菱形的空间结构,Top5‰的网络联系呈现明显的地理近邻和旅游资源吸引特征。②区域旅游信息流空间网络表现出以高级别行政中心为集聚点的“核心-外围”放射状结构。③Top3城市旅游信息流出与流入空间网络非均衡性特征显著,流出与流入空间网络交叠分布形成我国城市旅游信息流立体菱形空间网络。④Top3城市旅游信息流出空间网络季节同质性显著,而流入空间网络季节异质性显著。春夏两季城市旅游信息流出与流入空间网络的聚类系数都相对较高,而秋冬两季聚类系数都相对较低,表明随着时间的推移,网络呈发散外扩发展趋势。研究以期深刻理解城市旅游信息流空间网络复杂性,为有效利用城市旅游信息的管理实践提供理论启示。
Selecting 286 cities at prefecture level and above as the research area and based on the daily tourism information flow data between cities in 2021,this study constructs the annual spatial network of tourism information flow between cities and analyzes its spatial network pattern and complexity in China with the methods of ArcGIS spatial visualization analysis and social network analysis.These results show:1)The spatial heterogeneity of urban tourism information flow in China is significant.The backbone of the Chinese urban tourism information flow network shows the stereoscopic diamond(shaped and anchored by six major metropolitan areas:Beijing,Sanya,Xi’an,Chengdu,Chongqing,Guangzhou,Shenzhen and Shanghai).The Top5‰network linkage shows clear characteristics of geographic proximity and driving proximity to tourism resource cities.2)The spatial network of regional tourism information flow shows a"core-periphery"radial structure with high-level administrative centers as the gathering points.3)Outflow and inflow spatial network of Top3 urban tourism information shows the significant non-equilibrium characteristics,the intertwined distribution of outflow and inflow spatial network forms the stereoscopic diamond-shaped spatial network of China’s city tourism information flow.4)The seasonal homogeneity of the outflow spatial network of tourism information in Top3 cities is significant,while the seasonal heterogeneity of the inflow spatial network is significant.The clustering coefficients of the spatial networks of urban tourism information outflow and inflow are relatively high in both spring and summer,while the clustering coefficients are relatively low in both autumn and winter,indicating that the networks show the development trend of divergence and outward expansion as time goes on.The study aims to deeply understand the urban spatial network complexity of tourism information flow and provide insights into the management practices for effective use of urban tourism information.
作者
张广海
袁洪英
ZHANG Guanghai;YUAN Hongying(Management College,Ocean University of China,Qingdao 266100,Shandong,China)
出处
《经济地理》
CSCD
北大核心
2023年第1期197-205,共9页
Economic Geography
基金
国家社会科学基金项目(19BGL138)。
关键词
旅游信息流
空间网络
空间异质性
复杂网络分析
地级以上城市
tourism information flow
spatial network
spatial heterogeneity
complex network analysis
cities at the prefectural level and above
