长江三角洲团队旅游者区内游空间网络结构研究——基于旅行社推荐线路

研究区域旅游流整体空间网络结构特性及区域内各城市在整体网络中的地位,可为区域旅游的空间布局与优化提供支撑。本文选取长江三角洲30城市重点旅行社推荐的一日游、二日游、三日游（及三日以上）旅游线路共4 500条,运用社会网络理论与方法,从单个城市旅游节点、节点城市间连线、整体空间网络三个方面分析长三角区域旅游流空间网络特征。结果显示：①长三角区内节点城市在区域旅游流空间网络中地位差异较大,核心城市的核心地位较为突出,区域旅游流空间网络存在明显的等级性,随着出游时间的增加,等级性更为明显,如杭州和苏州既是区域内核心的旅游目的地城市,也是重要的旅游中转地,在旅游线路组织方面占有重要地位;②局部旅游流活跃程度较高,如镇江-扬州、舟山-绍兴;③区域旅游流空间网络结构会由于旅游交通条件、大型旅游项目等各种要素的变化而处于动态发展过程中。

Team tourist flow spatial networks in the Yangtze River Delta based on the line recommended by travel agencies

The study of tourist flow is a core issue of tourism geography. Research on the characteristics of the Yangtze River Delta’s overall space network of tourist flow as well as the regional status of each link city within the network provides supports for the planning and development of geographical layout and its optimization. The selected travel agencies from 30 cities of the Yangtze River Delta have recommended a one-day tour,a two-day tour and a multi-day tour with 4 500 tourism lines. The current research aims to analyze spatial network characteristics of the Yangtze River Delta from three aspects,social network theory and methods. The three aspects include：single node tourism destination,multi-node of city tourism destination and overall spatial network. We found that the position of each link city differentiates with each other in the regional tourist flow space network. The core status of the key cities is much more prominent,and the hierarchical characteristic of the regional tourist flow space network is significant. This feature tends to be more observable as travel time increases continuously. Taking Hangzhou and Suzhou as an example,both of which are key tourism destination cities and transit cities of great importance,each of the cities plays a critical role in organizing tourism lines. However,the level of activity of cities in regional tourist flow such as Zhenjiang-Yangzhou and Zhoushan-Shaoxing is relatively high. The results indicate that the development of regional tourist flow space network will be dynamic because of influences from various factors such as tourism transportation and major tourism events.