国内乡村旅游网络关注度时空格局研究

发布时间：2018-03-23 22:24

本文选题：乡村旅游　切入点：网络关注度　出处：《上海师范大学》2017年硕士论文

【摘要】：乡村旅游是近年来旅游研究的热点之一,本文在前人研究的基础上探究国内乡村旅游网络关注度、虚拟信息流时空网络格局,为预测乡村旅游客流量、提升乡村旅游示范点质量、旅游者与管理者行为决策提供参考依据,因此具有重要的理论与现实意义。本文借助百度指数平台,选取260个有效乡村旅游示范点作为样本数据,搜集样本年度、季度日均网络关注度的初始数据,利用泰森多边形进行权重得出数据进行分析。首先,结合SPSS统计分析关注度时间特征,探讨乡村旅游网络关注度的时间变化趋势,对网络关注度进行时间序列模型预测并得出结论。其次,利用ArcGIS空间分析方法来探讨关注度空间特征,确定636个示范点的空间分布范围及集聚区域,分析260个样本示范点网络关注度的空间分布集聚性、重心、核密度、层级等空间特征。第三,运用UCINET社会网络分析方法,对乡村旅游网络信息流进行直观可视化分析,分别分析网络密度、网络中心性、网络凝聚子群等网络特征,从而对中国大陆乡村旅游示范点进行网络时空格局研究。研究结论为:(1)国内636个乡村旅游示范点的时空分布特征是随着时间的增长示范点数量不断增长,空间上主要分布在东部、中部地区,华东地区较多,西北与东北地区较少;(2)选取的260个乡村旅游示范点时间上呈现关注度不断上升的趋势,但有的地区出现随着时间的增长关注度下降的趋势,网络关注度季度上夏季最高、冬季最低,关注度最大值是7月、8月;(3)休闲度假类乡村旅游示范点网络关注度较高,其次为开发较好的古村落、民俗古镇等;(4)示范点网络关注度空间分布上具有集聚性、方向性,关注度重心主要在湖北东北部,京津冀、长三角、珠三角的网络关注度密度最大;(5)乡村旅游网络信息流的网络密度较高,“互为目的地、互为客源地”的现象普遍,呈现核心边缘化趋势,各省市凝聚力较高,呈现6大组团;(6)乡村旅游实际客流量与网络关注度在时间、空间上都具有相关性,网络关注度是旅游者出游的前兆反映。社会经济、互联网普及率、旅游交通、客源市场、闲暇时间因素是影响乡村旅游网络关注度高低的重要因素。本研究注重定性与定量相结合,理论与实践相结合的思想,分析乡村旅游信息流的网络时空格局,不仅丰富了乡村旅游的研究内容、定量研究方法,而且还为我国乡村旅游的发展提供实际借鉴意义。
[Abstract]:Rural tourism is one of the hotspots of tourism research in recent years. Based on the previous studies, this paper probes into the pattern of domestic rural tourism network attention, virtual information flow and space-time network, in order to predict the rural tourism passenger flow. To improve the quality of rural tourism demonstration sites, tourists and managers provide a reference for decision-making, so it has important theoretical and practical significance. With the help of Baidu index platform, 260 effective rural tourism demonstration sites are selected as sample data. Collect the initial data of annual and quarterly network attention, and use the weight of Tyson polygon to get the data for analysis. First, combined with SPSS statistics to analyze the time characteristics of concern, This paper probes into the trend of time change of rural tourism network attention, forecasts the time series model of network attention and draws a conclusion. Secondly, we use ArcGIS spatial analysis method to explore the spatial characteristics of attention. The spatial distribution range and agglomeration area of the 636 demonstration sites are determined, and the spatial characteristics of the network concerns of 260 sample demonstration sites are analyzed, such as the spatial distribution and agglomeration, the center of gravity, the nuclear density and the hierarchy. Thirdly, the UCINET social network analysis method is used. Visual analysis of rural tourism network information flow, analysis of network density, network centrality, network aggregation sub-group and other network characteristics, The conclusion is that the spatial and temporal distribution of 636 rural tourism demonstration sites in China is characterized by the increasing number of demonstration sites with the increase of time and time. Spatial distribution is mainly in the eastern, central, eastern China, the northwest and northeast of the less than two) selected 260 rural tourism demonstration sites show a rising trend of attention in the time, However, in some areas, there is a downward trend of concern with the increase of time. The online attention is highest in summer, lowest in winter, and highest in July. In August, there is a high degree of concern in rural tourism demonstration sites such as leisure and vacation. Secondly, for the development of better ancient villages, folklore ancient towns, etc.) the spatial distribution of network attention at demonstration sites is concentrated and directional. The focus of attention is mainly in northeast Hubei, Beijing-Tianjin-Hebei, and the Yangtze River Delta. The density of rural tourism network information flow is high, the phenomenon of "mutual destination and mutual source of tourists" is common, showing the trend of core marginalization, and the cohesion of provinces and cities is high. There is a correlation between the actual passenger flow of rural tourism and the degree of network attention in time and space. The degree of network attention is a precursor reflection of tourists going out. Social economy, Internet popularization rate, tourism transportation, tourist market, Leisure time is an important factor influencing the attention of rural tourism network. This study focuses on the combination of qualitative and quantitative thinking, theory and practice, and analyzes the network space-time pattern of rural tourism information flow. It not only enriches the research contents and quantitative research methods of rural tourism, but also provides practical reference for the development of rural tourism in China.
【学位授予单位】：上海师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F592;F323

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