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基于自助旅游流网络结构的景区角色研究——以山西省为例 被引量:8

Roles of Scenic Areas Based on Self-Help Tourists Flow Network Structure:A Case Study of Shanxi Province
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摘要 随着旅游消费观念的日渐成熟以及交通系统的完善,游客出游呈现自助、自驾车等多样化方式,不同出游方式下景区空间功能存在差别。运用社会网络理论与方法,以景区为节点对山西省自助旅游流空间网络结构进行量化分析,以此为依据确定各景区节点在旅游流网络中的角色。结果表明:山西省自助旅游流网络的网络密度偏低,呈现较为明显的核心-边缘结构;综合旅游流网络结构各指标的量化分析,结合旅游资源和交通因素,将涉及的景区景点角色划分为五种类型:省域核心景区、区域核心景区、重要景区、一般景区和边缘景区。省域和区域核心景区对自助旅游流有显著的集聚扩散效应,发挥重要的枢纽作用;重要景区与省域、区域核心景区保持较紧密的旅游流联系,中介能力较弱;一般和边缘景区与其他景区的旅游流联系稀疏,主要承接高等级景区的旅游流辐射。 With the progress of tourism consumption concept and the improvement of transport system, tourists travel in various ways, such as self-help tour, self-driving tour etc. Also, there are inevitably different spatial functions of scenic spots under different ways. With the help of the scenic spots for the nodes, spatial network structure characteristics of the self-help tourists flow in Shanxi are analyzed by theories and methods in social network. The role and function of each scenic spot are located in tourists flow network. Firstly, the density of tourists flow network in Shanxi is in a low level. At the same time, the core - periphery structure is also demonstrated on the whole. Secondly, combining the quantitative analysis of each index of tourists flow network structure with tourism resources and traffic factors, 52 scenic spots in Shanxi could be divided into five role types, namely, provincial core scenic area , regional core scenic spot, important scenic spot, common scenic spot and marginal scenic spot. Provincial and regional core scenic spots have a significant concentration and diffusion effect on self-help tourists flow and play an important pivotal role; Important scenic spots maintain closer connection with the first two scenic spots and the intermediary capacity is weak; The common and marginal scenic spots have less connections among others, mainly accepting the tourists flow exposure of the high level scenic spots.
出处 《旅游论坛》 2017年第3期74-83,共10页 Tourism Forum
基金 国家自然科学基金项目(41201122)
关键词 景区 自助旅游流 社会网络分析 角色 scenic area self-help tourists flow social network analysis role
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