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Tourism community detection: A space of flows perspective
Tourism Management ( IF 12.7 ) Pub Date : 2022-06-17 , DOI: 10.1016/j.tourman.2022.104577
Dong Xu, Jin-He Zhang, Zhenfang Huang, Yepeng Zhou, Qingyu Fan

The “space of flows” theory, emphasizing the exchange of information and movement of matters at the time-space level, provides a new scientific perspective for deepening the study of interactive networks of tourism destinations. By linking tourism flow data with network scientific approaches, this study identifies several tourism communities, sheds light on their internal relations and then explores the driving factors. The results show that the Yangtze River Delta urban agglomeration includes 7 actual and 6 potential tourism communities. There are significant differences in the characteristics of tourism flow within and across these communities, indicating that an accurate prediction of regional tourism demand should pay attention to the spatiotemporal attributes of flow elements. Moreover, the roles of informatization and government behavior in forming destination networks should be highlighted among the driving factors of tourism communities. The implications of tourism community detection for integrated development of regional tourism are finally discussed.



中文翻译:

旅游社区检测:流动视角的空间

“流空间”理论强调时空层面的信息交换和物质运动,为深化旅游目的地互动网络研究提供了新的科学视角。通过将旅游流量数据与网络科学方法联系起来,本研究确定了几个旅游社区,阐明了它们的内部关系,然后探讨了驱动因素。结果表明,长三角城市群包括7个实际旅游社区和6个潜在旅游社区。这些社区内部和社区之间的旅游流量特征存在显着差异,表明区域旅游需求的准确预测应关注流量要素的时空属性。而且,在旅游社区的驱动因素中,应突出信息化和政府行为在形成目的地网络中的作用。最后讨论了旅游社区检测对区域旅游综合发展的启示。

更新日期:2022-06-18
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