I 摘要 旅游流研究是旅游研究的重要组成部分，为旅游业的发展提供基础。伴随旅游业的 迅速发展，出现了消费方式 “多样化”，旅游需求“个性化”，旅游产品“细分化”。 区域旅游流结构也发生了不少变化，如何预测旅游目的地和客源地之间、旅游目的地和 旅游目的地之间、景区与景区之间的旅游流网络结构，对优化区域旅游结构以及分配旅 游资源具有重要意义。根据我国现有的旅游流方面的研究状况，可以发现主要集中于城 市和入境旅游流上，从研究对象来看，集中于单个景区或者城市，从省份和A级景区角 度进行的研究相对较少。 本研究以新疆区域内的A级景区为研究对象，以社会网络研究为首要的研究方法， 以“后羿采集器”作为采集数字足迹的爬虫工具，以UCINET 6和ROST CM6作为主要分 析软件，以去哪儿网、穷游网、途牛网、同程网上的500篇游记作为研究数据，对新疆 的旅游流结构进行了分析和探讨。研究内容包括以新疆区域内的景区旅游流网络结构特 征研究，影响旅游流的相关因素研究等。本研究在前人研究的基础上，通过实证方法， 确定影响新疆旅游流网络结构的众多因素，并从中提取了影响新疆旅游流网络结构的区 域经济发展水平，旅游基础设施，交通可达性，国家政策优势，自然区位条件等几种影 响因素，结合论文其他分析结果从旅游流网络结构的视角下提出了推进新疆旅游产业转 移升级；完善交通条件，优化旅游服务设施；提升景区之间的联系程度，提高景区的竞 争力；挖掘旅游资源特色，差异化发展；对现有的旅游线路进行优化，开发新的旅游线 路等优化发展建议。通过研究发现，出游方式已经转向自驾游、自由行、包车等个性化 方式。从出游方式来看，占比从大到小的排序是自驾游，自由行，包车，跟团游。游客 到访景区范围较狭窄，而且集中于热门景区。从核心-边缘密度分析来看，处于核心区 的景区15个，剩下的都是处于边缘区。新疆A级景区旅游流网络相对分散，节点之间 的关系不密切。整体网络密度低，说明节点之间的联系不是很紧密，只有13.6%节点之 间有直接的旅游流联系，其他节点要靠其他节点连接才能实现旅游流转移。交通可达性 比较低，需要进一步改善。最后，通过影响因素分析，可以得出区域之间的可达性不是 特别好，需要增加等级公路规模，尤其是博尔塔拉蒙古自治州，克孜勒苏柯尔克孜自治 州等地区。 关键词：数字足迹; 社会网络分析法; 网络结构;新疆;旅游流 Abstract II Abstract Tourism flow research is an important part of tourism research and provides a foundation for the development of tourism. With the rapid development of tourism, there have been "diversification" of consumption mode, "individuation" of tourism demand and "subdivision" of tourism products. The structure of regional tourism flow has also changed a lot. How to predict the network structure of tourism flow between tourist destination and tourist source, between tourist destination and tourist destination, between scenic spot and scenic spot is of great significance to optimize the regional tourism structure and allocate tourism resources. According to the current research status of tourism flow in China, it can be found that it is mainly concentrated on urban and inbound tourism flows. From the perspective of the research object, it focuses on a certain scenic spot or city, and the research from the perspective of province and A-level scenic spot is relatively less. This study takes class A-scenic spot in Xinjiang as the research object, takes social network Analysis as the primary research method, uses Houyi collector as the crawler tool to collect digital footprints, and uses UCINET 6 and ROST CM6 as the main analysis software.using 500 travel notes from the online tourism websites?--qunar, Qiong you, Touniu and Tongcheng----as research data, this paper analyzes and discusses the structure of tourism flow in Xinjiang.The research content includes the study of the network structure and the influencing factor of tourist flowsbetween scenic spots in Xinjiang. Based on empirical determination of factors influencing tourism flow in previous studies, this study extracts regional economic development level, tourism infrastructure, transportation accessibility, national policy advantages, and natural location conditions as main factors that affect Xinjiang’s tourism flow network structure. In combination with the analysis results, the paper puts forward the development and optimization suggestions: (i) transfer and upgrading of Xinjiang tourism industry; (ii) improving Traffic conditions; (iii) optimizing tourism service facilities; (iv) enhancing the connection between scenic spots; (v) improving the competitiveness of scenic spots; (vi) excavating the characteristics of tourism resources and differentiate development; and (vii) optimizing the existing tourism routes and exploring new tourism routes. Through the research, it has been found that the way of travel has turned to self driving travel, free travel, charter and other personalized ways. From the perspective of travel mode, the order of the proportion from large to small is self driving travel, free travel, Abstract III car rental and group travel. Tourists tend to visit popular scenic spots, and tourist destinations are more concentrated. From the core edge density analysis, there are 15 scenic spots in the core area, and the rest are in the edge area. The tourism flow network of A-Class scenic spots in Xinjiang is relatively scattered, and the relationship between nodes is not close. The overall network density is low, indicating that the connection between nodes is not very close. Only 13.6% of nodes have direct tourism flow connection, and other nodes need to consider other node connections to achieve tourism flow transfer. The traffic accessibility is relatively low and needs further improvement. Through the analysis of influencing factors, it can be concluded that the accessibility between regions is not particularly good, and the scale of grade roads needs to be increased, especially in Bortala Mongol Autonomous Prefecture, Kizilsu Kirgiz Autonomous Prefecture and other regions. Key words: digital footprint ; social network analysis ; network structure ; Xinjiang ; tourism flow 目 录 IV 目 录 第一章 绪论 ........................................................... 1 1.1 研究背景 .................................................................................................................................. 1 1.1.1 互联网时代带来的数字足迹 ....................................................................................... 1 1.1.2 旅游业发展的现实需求 ............................................................................................... 1 1.1.3 旅游流研究发展的需要 ............................................................................................... 1 1.2 研究目的和意义 ...................................................................................................................... 2 1.2.1 研究目的 ....................................................................................................................... 2 1.2.2 研究意义 ....................................................................................................................... 2 1.3 研究内容 .................................................................................................................................. 3 1.4 研究方法 .................................................................................................................................. 3 1.4.1 文献分析法 ................................................................................................................... 3 1.4.2 网络数据挖掘法 ........................................................................................................... 3 1.4.3 社会网络分析法 ........................................................................................................... 4 1.5 技术路线 .................................................................................................................................. 4 第二章 理论基础与研究进展 ............................................. 5 2.1 相关理论基础 .......................................................................................................................... 5 2.1.1 旅游流理论 ................................................................................................................... 5 2.1.2 社会网