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Spatial network structure of the tourism economy in urban agglomeration: A social network analysis
Journal of Hospitality and Tourism Management ( IF 7.6 ) Pub Date : 2021-03-17 , DOI: 10.1016/j.jhtm.2021.03.009
Chang Gan , Mihai Voda , Kai Wang , Lijun Chen , Jun Ye

Despite extensive and active research on network structures in tourist destinations, literature on the spatial network structure of the tourism economy in urban agglomeration is limited. Taking Urban Agglomeration in the middle reaches of the Yangtze River (UAMRYR) as the case study, this study aims to examine the characteristics associated with the spatial network structure of the tourism economy by adopting the tourism economic gravity model and social network analysis (SNA). The main conclusions are as follows. The spatial network structure of the tourism economy in UAMRYR was loose, with limited adequate tourism economic connections and collaboration among various plates. As the three core cities, Wuhan, Changsha, and Nanchang not only had more tourism economic connections among other cities but also acted as an intermediary and a bridge between the spatial network structure of the tourism economy. To sum up, the findings of this study could be applied to formulate scientific policies to promote spatial integration and tourism economic cooperation in urban agglomerations.



中文翻译:

城市群旅游经济的空间网络结构:社会网络分析

尽管对旅游目的地的网络结构进行了广泛而积极的研究,但关于城市群中旅游经济的空间网络结构的文献仍然有限。以长江中游城市群(UAMRYR)为例,采用旅游经济引力模型和社会网络分析法(SNA),研究与旅游经济空间网络结构有关的特征。 。主要结论如下。UAMRYR的旅游经济空间网络结构松散,充分的旅游经济联系和各个板块之间的协作有限。作为三大核心城市,武汉,长沙,南昌市不仅在其他城市之间具有更多的旅游经济联系,而且是旅游经济空间网络结构之间的中介和桥梁。综上所述,本研究结果可用于制定科学政策,促进城市群的空间整合和旅游经济合作。

更新日期:2021-03-17
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