长三角城市群旅游经济空间网络结构及其影响因素研究基于网络视角的分析摘要近年来，长三角旅游一体化建设步伐持续加快，城市之间的旅游经济联系不断加深。区域旅游经济在总量上不断增长的同时也存在着结构上的不完善，缺乏对各城市在区域旅游发展中所应发挥作用的正确认识是导致区域旅游经济未能高质量协同发展的重要原因。基于此，本文以长三角城市群26个城市作为研究对象，基于各城市间的旅游经济联系，采用社会网络分析方法构建长三角城市群旅游经济空间网络结构，进而对整体网络结构特征及各节点城市在网络中的地位和作用进行研究。研究结果表明：(1)2007-2017年，长三角城市群节点城市之间的旅游经济联系强度不断增大，旅游经济联系逐渐由上海、苏州、无锡、杭州等沿海地区发达城市向长三角其他城市之间延伸，但节点城市之间的旅游经济联系强度值差距仍较大。(2)2007-2017年，长三角城市群旅游经济空间网络结构呈现出从松散到紧密、从简单到复杂、从不合理逐渐向合理发展的演变特征，旅游经济空间网络结构不断优化。(3)从个体网络结构特征分析，上海始终占据龙头核心位置，在网络中的地位和作用最大。2012-2017年，上海、苏州、杭州、南京、合肥在网络中的地位和作用最大，控制和影响其他城市间旅游经济联系的能力最强。滁州、舟山、马鞍山、盐城、宣城、铜陵、台州这7个城市中心度水平和结构洞水平均较低，在网络中常依附于其他节点城市，多处于边缘地位。(4)从整体网络结构方面来看，旅游经济空间网络密度不断增高，网络的稳健性和凝聚力不断增强，城市间仍存在较为明显的核心-边缘层次结构且层次差距逐渐缩小。区域旅游经济联系呈组团模式发展，地理位置相邻或靠近的城市更容易形成城市组合。(5)QP相关分析结果表明，城市经济发展水平、交通可达性、地理空间距离、旅游资源禀赋均与长三角城市群旅游经济网络显著相关，产业结构与旅游经济网络相关性不显著。QP回归分析结果表明，交通可达性、旅游资源禀赋、地区经济发展水平这3个变量对长三角城市群旅游经济网络的形成均具有显著影响，且影响程度依次降低。关键词：旅游经济网络结构：社会网络分析：长三角城市群AbstractIn recent years,the pace of Yangtze river delta tourism integration continues toaccelerate,and the tourism economic ties between cities continue to deepen.While theregional tourism economy keeps growing in total volume,there are also structuralimperfections,and the lack of proper understanding of the role of each city in thedevelopment of regional tourism is an important reason for the failure of regionaltourism economy to develop in a coordinated way with high quality.Based on this,this paper takes 26 cities in the Yangtze river delta city cluster as the researchobject.,and based on the tourism economic connections among cities,this paper adoptsthe social network analysis method to construct the spatial network structure oftourism economy in the Yangtze river delta city clusters,and then studies thecharacteristics of the overall network structure and the status and role of each nodecity in the network.The results show that:(1)From 2007 to 2017,the intensity of tourism economiclinks between the node cities in the Yangtze river delta city clusters has beenincreasing,and the tourism economic links have gradually extended from thedeveloped cities in the coastal areas such as Shanghai,suzhou,wuxi and hangzhou toother cities in the Yangtze river delta.However,there is still a large gap in theintensity of tourism economic links between the node cities.(2)From 2007 to 2017,the spatial network structure of tourism economy in the Yangtze river delta cityclusters showed the characteristics of evolution from loose to close,from simple tocomplex,and from unreasonable to reasonable,and the spatial network structure oftourism economy was constantly optimized.(3)From the analysis of individualnetwork structure characteristics,Shanghai has always occupied the leading coreposition and played the largest role in the network.From 2012 to 2017,Shanghai,suzhou,hangzhou,nanjing and hefei played the largest role in the network and hadthe strongest ability to control and influence the tourism economic links among othercities.Chuzhou,zhoushan,ma On Shan,yancheng,xuancheng,tongling and taizhouare all at a low level of centrality and structure holes.They are often attached to othernode cities in the network and are mostly in a marginal position.(4)From the overallnetwork structure,the spatial network density of tourism economy is continuouslyincreasing,the robustness and cohesion of the network are constantly enhanced,andthere is still a relatively obvious core-edge hierarchy among cities and the hierarchygap is gradually narrowing.The regional tourism economic relation develops in theform of group,and the cities near or adjacent to each other are more likely to form acity combination.(5)The results of QAP correlation analysis show that the level ofurban economic development,traffic accessibility,geographic spatial distance andtourism resource endowment are significantly correlated with the tourism economicnetwork of the Yangtze river delta city clusters,while the industrial structure is notsignificantly correlated with the tourism economic network.The results of QAPregression analysis show that three variables,namely traffic accessibility,tourismresource endowment and regional economic development level,all have significantinfluence on the formation of tourism economic network in Yangtze river delta cityclusters,and the influence degree decreases in turn.Key Words:Tourism economic network structure ;Social network analysis;TheYangtze river delta city cluster