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作 者:虞虎[1,2,3,4] 陈田[1] 陆林[3] 王开泳[1] 朱冬芳[3]
机构地区:[1]中国科学院地理科学与资源研究所,北京100101 [2]中国科学院大学,北京100049 [3]安徽师范大学国土资源与旅游学院旅游发展与规划研究中心,安徽芜湖241003 [4]北京师范大学地理学与遥感科学学院,北京100875
出 处:《地理科学进展》2014年第2期169-180,共12页Progress in Geography
基 金:安徽省社科重点委托项目(AHSKW2010D01)
摘 要: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。Taking tourism industry as a growth pole to promote the development of the tertiary industry is be- coming 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, estab- lished a model for the network structure of the tourist economies in the Jianghuai Urban Agglomeration. The so- cial network software Ucinet 6 was used to demonstrate the spatial positions and the roles of the cities in the net- work, 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 Jiang- huai Urban Agglomeration exhibited an imbalanced pattern, with tight connections in the south and loose con- nections 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 im- portant 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 pe- riphery 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 cit- ies 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 a
关 键 词:城市群旅游地 旅游经济网络 空间发展模式 江淮城市群
分 类 号:F592.7[经济管理—旅游管理] K901.7[经济管理—产业经济] TU982.2[历史地理—人文地理学]
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