基于Web-TGC的宁波市旅游流网络结构研究

发布时间：2018-07-11 14:43

本文选题：旅游流 + 社会网络结构　；参考：《宁波大学》2017年硕士论文

【摘要】：城市流网络主要通过城市路网、经济交流、信息沟通以及人流活动构建形成,其中以人为主导的流动网络称为“软网络”,以基础设施等物质体主导的流动网络称为“硬网络”。城市旅游景点间的旅游流的不断集聚与扩散使得区域旅游流呈现出空间网络化态势,其流网络一般意义上指以人为主导的“软网络”。在城市旅游系统中,各旅游景点并不是孤立存在的,而是结合自身旅游地位与功能作用,利用自身资源特点展现出符合游客需要的地域特色,并与周边旅游实体形成高度融合的具有互补性的网络体系,这种关系型网络关注于旅游节点在网络结构中的关系价值而弱化节点本身固有的优劣势。本文针对旅游流本质特征,立足于多学科融合视角,创新研究方法,综合贴切实用的研究理论,从根本上变革旅游流研究模式:首先改变过去微观数据收集困难的窘境,充分利用网络信息建立有关旅游流动的关系型数据,得到真实有效的能够反映旅游流动特征的基础数据;然后结合旅游活动与生俱来的社会性特点,应用社会网络理论阐释旅游流网络形成机制以及演化规律;最后在研究对象基础属性分析的基础上进一步论证旅游流网络的形成与变化在地域空间上的投影形状以及对旅游社会经济带来的影响变化。具体而言,通过分析旅游资源、旅游交通以及品牌形象等构成旅游流系统的基础元素,得知资源开发导向与资源存量存在偏差,而交通网络格局进而影响整体旅游流的网络结构,且品牌形象更新滞后,旅游即时效应不显著,不能形成持久稳定的旅游吸引力。再者,把社会网络分析与空间信息分析相结合,得到宁波城市旅游流网络结构相对不均衡,极化现象突出,大部分旅游节点的角色地位处于不断变化之中,需要进一步完善构成旅游流网络的系统元素,促进边缘旅游节点与中心强势集聚核的关联互动。通过详实的研究分析与实证对比,认为在本次论文分析过程中达到了所预期的研究深度:(1)融合多种理论和方法,为旅游流现象提出更加科学合理的解释,并以网络数据为主导,创新旅游研究新思路。(2)着眼于对小尺度旅游流做精细化分析,弥补国内旅游流研究不足,为地方旅游业发展规划提出合理化建议与措施,使学术研究能够快速转化为实际应用技术。(3)动静结合探究城市旅游节点的中心性与结构等级性,旅游节点的集聚扩散特性以及在整体旅游网络中的角色地位,整体旅游网络的冷热不均现状及成因,并根据宁波市旅游发展基础及旅游社会经济现状提出发展对策并给出优化路径。(4)从内部和外部两个层面分析宁波市旅游流网络现状,具体包括城市内部旅游基础和网络结构以及城市外部旅游形象,周边竞合环境等方面,以便为优化区域景点间竞合关系、提升城市旅游竞争力提出建议和措施。
[Abstract]:Urban flow networks are mainly formed through urban road networks, economic exchanges, information communication and people flow activities, in which people-led mobile networks are called "soft networks". Mobile networks dominated by physical objects such as infrastructure are called "hard networks". The continuous agglomeration and diffusion of tourist flow among urban tourist attractions make the regional tourism flow take on the situation of spatial networking, and its flow network generally refers to the "soft network" which is dominated by people. In the urban tourism system, the tourist attractions do not exist in isolation, but combine with their tourism status and function, using their own characteristics of resources to show the regional characteristics that meet the needs of tourists. The relational network focuses on the relationship value of tourism nodes in the network structure and weakens the inherent advantages and disadvantages of the nodes. In view of the essential characteristics of tourism flow, this paper bases on the perspective of multi-disciplinary integration, innovates research methods, synthesizes relevant and practical research theories, and fundamentally changes the research mode of tourism flow: first of all, it changes the dilemma of the past micro-data collection difficulty. Make full use of the network information to establish the relational data about the tourism flow, get the real and effective basic data which can reflect the characteristics of the tourism flow, and then combine the inherent social characteristics of the tourism activities, Using the theory of social network to explain the formation mechanism and evolution law of tourism flow network; Finally, on the basis of the analysis of the basic attributes of the object of study, the paper further demonstrates the formation and change of tourism flow network in the regional space and the impact on tourism social economy. In particular, by analyzing the basic elements of tourism flow system, such as tourism resources, tourism traffic and brand image, we know that there are deviations between resource development orientation and resource stock. However, the traffic network structure affects the network structure of the overall tourism flow, and the brand image updates lag behind, the immediate effect of tourism is not significant, and can not form a lasting and stable tourism attraction. Furthermore, by combining social network analysis with spatial information analysis, it is concluded that the network structure of Ningbo urban tourism flow is relatively unbalanced, polarization phenomenon is prominent, and the role of most tourism nodes is constantly changing. It is necessary to further improve the system elements of tourism flow network and promote the interaction between edge tourism nodes and the core of central strong agglomeration. Through detailed analysis and empirical comparison, it is concluded that the expected depth of research has been achieved in the process of this paper analysis: (1) integrating various theories and methods to provide a more scientific and reasonable explanation for the tourism flow phenomenon, and taking the network data as the leading factor. (2) focusing on the detailed analysis of small-scale tourism flows, making up for the lack of research on domestic tourism flows, and putting forward reasonable suggestions and measures for local tourism development planning. So that the academic research can be quickly transformed into practical application technology. (3) the dynamic and dynamic integration of urban tourism nodes of the central and structural hierarchy, tourism node agglomeration and diffusion characteristics and role in the overall tourism network, The present situation and causes of the unevenness of cold and heat in the whole tourism network are put forward according to the basis of tourism development and the present situation of tourism social economy in Ningbo. (4) the present situation of tourism flow network in Ningbo is analyzed from the internal and external aspects. In order to optimize the relationship between regional scenic spots and improve the competitiveness of urban tourism, it includes the tourism infrastructure and network structure, the external tourism image, the surrounding environment and so on.
【学位授予单位】：宁波大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F592.7

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