厦门市旅游流网络结构研究

发布时间：2018-04-19 14:58

本文选题：旅游流 + 网络结构　；参考：《华侨大学》2012年硕士论文

【摘要】：旅游流在连通旅游目的地与旅游客源地之间发挥着桥梁的作用。目前随着中国旅游业实现全面增长，区域内部与外部的旅游流不断产生集聚与扩散现象，，从而形成网络状的发展态势，将旅游网络化问题引入到旅游地理学的研究中，以社会网络理论及分析方法研究区域旅游流的特征及优化，将有助于丰富地理学的研究内容，也为旅游研究提供新的定量化手段；同时，也对厦门市旅游流空间结构优化、旅游景点的重要性度量、旅游发展的战略性选择、旅游市场营销策略选择及提升区域综合影响力方面具有重要的实践意义。本文通过对国内外旅游流、旅游流空间模式、社会网络理论及分析方法与旅游网络研究的相关研究成果基础上，系统梳理及总结前人研究理论，从旅游流的内在联系特征入手，选取旅游节点结构与整体网络结构两大社会网络评价指标，构建旅游流网络结构评价指标体系。选择厦门市作为实证研究区域，运用社会网络分析技术Ucinet6.0，结合SPSS17.0、Photoshop等应用工具，基于旅行社走访、问卷调研及网络游记等方式搜集旅游者的行走路线及旅游流量，构建厦门市旅行社及自助游两大旅游流数据库，并对其结果加以对比分析，结合来厦旅游者的旅游特征，计算并验证得出2011年厦门市旅游流客源的流入、厦门市内部旅游流网络节点结构和整体网络结构的特性、厦门市旅游流的扩散去向，借助核心边缘模型及聚类分析方法对所得结果进行验证，将厦门市的主要旅游节点划分为旅游核心节点、缓冲节点、边缘节点、孤岛节点，得出2011年厦门市旅游流空间结构特征。最后，对厦门市旅游流移动影响因素进行探讨，将前文验证结果与旅游目的地演化模型、厦门旅游发展现状相结合，重点提出相对应的优化发展建议，以期对厦门市的旅游发展及未来建设提供参考作用。
[Abstract]:Tourism flows play a role as a bridge between tourist destinations and tourist destinations.At present, with the overall growth of tourism in China, the phenomenon of agglomeration and diffusion of tourism flows within and outside the region is constantly produced, thus forming the development trend of the network. The problem of tourism networking is introduced into the study of tourism geography.To study the characteristics and optimization of regional tourism flow by social network theory and analysis method will be helpful to enrich the research content of geography and provide new quantitative means for tourism research, at the same time, optimize the spatial structure of tourism flow in Xiamen.The measurement of the importance of tourist attractions, the strategic choice of tourism development, the choice of tourism marketing strategies and the promotion of regional comprehensive influence have important practical significance.Based on the related research results of tourism flow, tourism flow spatial model, social network theory and analysis method and tourism network research, this paper systematically combs and summarizes the previous research theories, starting with the inherent connection characteristics of tourism flow.Two social network evaluation indexes, tourism node structure and overall network structure, are selected to construct the evaluation index system of tourism flow network structure.Choosing Xiamen as an empirical research area, using social network analysis technology Ucinet6.0, combined with SPSS 17.0 Photoshop and other application tools, based on travel agency visits, questionnaires and online travel notes to collect travel routes and tourist flow, etc.This paper constructs two major tourist flow databases of Xiamen travel agency and self-help tour, compares and analyzes the results, calculates and verifies the tourist inflow of Xiamen in 2011, combined with the tourist characteristics of tourists to Xiamen.The characteristics of the node structure and the overall network structure of the tourism flow network in Xiamen, and the diffusion direction of the tourism flow in Xiamen are verified by using the core edge model and cluster analysis method.The main tourism nodes in Xiamen are divided into tourism core nodes, buffer nodes, edge nodes and isolated island nodes, and the spatial structure characteristics of tourism flow in 2011 are obtained.Finally, the paper discusses the influencing factors of tourism flow movement in Xiamen, combines the results with the evolution model of tourism destination and the present situation of tourism development in Xiamen, and puts forward the corresponding suggestions for optimization development.In order to provide a reference for the tourism development and future construction of Xiamen.
【学位授予单位】：华侨大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：F592.7;F224

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