江淮城市群旅游经济网络空间结构与空间发展模式

以旅游业推动第三产业发展，将成为未来城市群经济增长的重要方式之一。结合重力模型与社会网络，构建江淮城市群旅游地旅游经济网络模型，应用Ucinet 6软件分析城市旅游地功能特征，探讨空间发展模式。结果表明：江淮城市群旅游经济网络联系呈南紧北疏的空间不平衡态势，城市旅游地之间网络密度、联结边数、联系紧密度正在增长，而重点城市的中介能力和核心作用有降低趋势，多数城市呈路径依赖的循环累计，网络空间均衡性增强，据此将11个城市旅游地划分为5种类型。结合区域交通布局、旅游资源分布、城市经济实力等要素，对11城市进行旅游地层次划分，提出了“三条一级旅游轴线、两条二级旅游轴线、一条潜在旅游轴线”的空间结构及与周边重要旅游区域协调发展的空间发展模式。

Structure of tourist economy network and its spatial development pattern in Jianghuai Urban Agglomeration

Taking tourism industry as a growth pole to promote the development of the tertiary industry is becoming one of the important strategies for economic growth in urban agglomerations in the future. In the paper, using the gravity model, we measured the connection densities of tourist economies among the 11 cities, established a model for the network structure of the tourist economies in the Jianghuai Urban Agglomeration. The social network software Ucinet 6 was used to demonstrate the spatial positions and the roles of the cities in the network, which then served as a basis for constructing the spatial pattern of the tourist economies in the Jianghuai Urban Agglomeration. The results showed that: the network connections of urban tourist economies in the Jianghuai Urban Agglomeration exhibited an imbalanced pattern, with tight connections in the south and loose connections in the north. Hefei has the highest degree of centrality in all three categories: connectivity, accessibility, and intermediateness, and is also the distribution center for the tourists. So Hefei is the tourism industry center of the Jianghuai Urban Agglomeration.Wuhu and Anqing are the second-level tourist destinations, serving as important visitor centers for the greater Nanjing metropolitan areas and the Sourthern Anhui International Tourism Culture Showcase areas adjacent to the Jianghuai Urban Agglomeration. Ma'anshan, Chuzhou, and Chizhou are tourist destination portals; Chaohu, Tongling are general tourist destinations; Bengbu, Lu'an and Huainan are periphery tourist destinations. During the process of dynamic evolution, network density, number of connecting sides, and connectivity are all showing a growing trend. The intermediary ability and core function of the key cities are reducing. Most cities are showing route-dependent accumulation cycles. The level of spatial balance among the cities is improving. Based on the structural characteristics of tourist economy network, together with the location factors such as regional transportation layout, tourism resources distribution and urban economic strength, we divided the 11 cities into different levels as tourist destinations. We also proposed the concepts of spatial development axis and spatial development pattern which indicate the coordinated development with the key tourism areas nearby, namely, "three first-level tourist axes, two secondary-level tourist axes, and one potential tourist axis". The tourist economies of the Jianghuai Urban Agglomeration should be connected with one another as well as those of the cities outside the urban agglomeration. This paper aimed to understand the macroscopical regional integral structure, and offer certain theoretical references for the balanced development of regional tourism and the tourism marketing.