ABSTRACT The mobile internet and social media have changed people’s travel behavior. During a journey, tourists generate a large amount of ‘digital footprint’ that can be used for studying tourist behavior. Exploring tourist spatial behavior based on social media big data is a new research field. Using the example of Xi’an, this study attempts to reveal the characteristics of tourists’ spatial network of tourist flow behavior rules and the function of travel areas and nodes by analyzing the spatial network of tourist flow using social network analysis and data visualization based on microblog-geotagged big data generated by tourists. Geotagged messages are obtained from the Open API of the Sina Microblog. This study found that tourism development shows characteristic of spatial aggregation. The Bell Tower, Qujiang, and Lintong areas are the most crucial tourism development areas in Xi’an. Furthermore, there are obvious hierarchical characteristics in a tourism spatial network. Travel nodes can be divided into three levels, namely pivotal, important and ordinary nodes. Famous scenic spots and traffic hubs are the most important sites that tourists visit. Moreover, the travel route can be divided into four types: synthetic routes, urban-center routes, the Qujiang travel route, and the Lintong travel route. The findings can provide a foundation for tourism cooperation, tourism planning, accurate marketing, travel route design, and other works.

中文翻译：

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基于微博大数据的西安城市游客流量空间网络

摘要移动互联网和社交媒体已经改变了人们的出行习惯。在旅途中，游客会产生大量的“数字足迹”，可用于研究游客行为。基于社交媒体大数据探索游客空间行为是一个新的研究领域。本研究以西安为例，通过基于社会网络分析和数据可视化分析的游客流空间网络，试图揭示游客流行为规则的空间网络特征以及旅行区域和节点的功能。由微博标记的游客产生的大数据。从新浪微博的Open API获取经过地理标记的消息。研究发现旅游业发展具有空间聚集特征。曲江钟楼 临tong地区是西安最重要的旅游开发区。此外，旅游空间网络具有明显的层次结构特征。旅行节点可以分为三个层次，即关键节点，重要节点和普通节点。著名的风景名胜区和交通枢纽是游客参观的最重要景点。此外，旅行路线可分为四种类型：合成路线，城市中心路线，曲江旅行路线和临tong旅行路线。研究结果可为旅游合作，旅游规划，准确的营销，旅行路线设计和其他工作提供基础。重要和普通节点。著名的风景名胜区和交通枢纽是游客参观的最重要景点。此外，旅行路线可分为四种类型：合成路线，城市中心路线，曲江旅行路线和临tong旅行路线。研究结果可为旅游合作，旅游规划，准确的营销，旅行路线设计和其他工作提供基础。重要和普通节点。著名的风景名胜区和交通枢纽是游客参观的最重要景点。此外，旅行路线可分为四种类型：合成路线，城市中心路线，曲江旅行路线和临tong旅行路线。研究结果可为旅游合作，旅游规划，准确的营销，旅行路线设计和其他工作提供基础。