基于旅游客流的跨界旅游区空间网络结构优化——以泸沽湖为例
Spatial network structure and optimization of cross-border tourism area based on tourist flow: a case study in Lugu Lake
查看参考文献34篇
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文摘
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以四川、云南省交界处的泸沽湖为研究对象,基于问卷调查和网络游记,获取旅游客流数据,借助社会网络理论与方法,构建跨界旅游区空间网络结构模型及评价指标体系,并从旅游客流视角,探讨其旅游空间网络结构、节点功能角色及边界屏蔽效应,最后得出泸沽湖旅游空间格局及优化路径。结果表明:①泸沽湖旅游空间网络呈现中北部密集、南部疏松的格局,存在明显的核心—边缘结构,环湖旅游客流同时具有环状和节点状线路选择趋向,受边界效应影响,整体网络存在边界客流断裂现象,分片区旅游客流则呈多核心辐散状;②泸沽湖环湖15个旅游村寨节点可分为旅游核心、次旅游核心、重要旅游节点、一般旅游节点和边缘旅游节点5种角色类型,同一类型旅游节点在中心性指标上有相似的模式特征;③跨界旅游活动存在显著的边界效应,泸沽湖省级行政边界两侧整体边界屏蔽效应大致相当,而节点边界屏蔽效应分异显著,四川片区节点边界效应显著的节点比例明显大于云南片区;④ 泸沽湖跨界旅游空间网络结构总体呈现“五级旅游基地、六条旅游轴线、三级旅游系统”的空间格局,并提出川滇共建景区管委会,统一资源产品开发、品牌构建和市场营销,发挥小洛水、达祖的跨界旅游通道职能等优化路径。 |
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其他语种文摘
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Based on questionnaire survey and online travel notes, we obtained tourist flow data and used the social network theory and methods to build the model of cross-border tourism area network structure and the evaluation indices. The network structural index primarily measures core potential, core-periphery interaction and structural equivalence. The node structural index mainly measures centricity and structural hole. The boundary effect index estimates overall boundary effect and node boundary effect. From the perspective of tourist flow, the paper explores the tourism spatial network structure, node functional roles and the shielding effect of boundary by taking Lugu Lake in Sichuan and Yunnan as a case. It aims at enriching and deepening the thoughts of cross-border tourism research, developing a new approach for the study of network spatial structure and providing some scientific basis for the cross-border collaboration tourist areas. We conducted the survey in the Lugu Lake area during 12-24 August, 2012. We acquired background information through visiting tourism administration departments and major tourism companies and investigating the main tourism villages around the lake. We also interviewed visitors and ask them to fill out the questionnaires. The results show that: (1) the tourism spatial network of Lugu Lake is dense in the northern and central parts but sparse in the south, which shows a clear core-periphery structure. Tourist flows around the lake tend to choose circular and dotted routes. Influenced by the boundary effect, the overall network of tourist flow shows a boundary fracture phenomenon, while tourists in shared area show multicentric divergence. (2) The 15 tourism villages around the Lugu Lake can be divided into five types: core tourism site, sub-tourism center, important tourism node, general node and peripheral node. Same type of tourism nodes shows similar patterns in the centricity indicator. (3) There is a significant border effect in cross-border tourism activities. The shielding effect of Lugu Lake provincial administrative boundary is similar on both sides of the boundary, while the shielding effect of boundary nodes is remarkably different, with the proportion of nodes that have an obvious boundary effect significantly greater in Sichuan than Yunnan. (4) The spatial structure of cross-border tourism network in Lugu Lake is characterized by five levels of tourism bases, six travel axis, and three tourism systems. Considering this structure, some optimization paths are put forward, including building a Sichuan-Yunnan scenic area management committee to uniformly develop tourism resources and products, construct a unified brand, and jointly manage marketing; making use the function of the Xiaoluoshui and Dazu as cross-border tourist routes. |
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来源
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地理科学进展
,2014,33(3):422-431 【核心库】
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关键词
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跨界旅游区
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网络结构与优化
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旅游客流
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泸沽湖
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地址
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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
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1007-6301 |
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学科
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社会科学总论 |
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基金
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国家自然科学基金
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文献收藏号
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CSCD:5106159
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