Taking Wuhan City as a case, this paper uses social network analysis and other methods to compare the evolution characteristics of tourism flow network structure between the whole region and the central urban area of Wuhan City from 2010 to 2019, and discusses the influencing mechanism and optimization suggestions of the evolution of tourism flow network structure. Study found: Node function on the whole is better than that of Wuhan urban center, the cluster, radiation, and mediation ability of two scales node are not stable, the core node and the general node had differences between nodes function, part of the landscape value, facilities perfect nodes play an important radiation in both scale and aggregation function. The network density in the central urban area is higher and the network connection is closer. The tourism flow network at both scales shows an obvious “core-edge” structure, which has not yet formed a complete network structure with distinct layers and close connections. Tourism resources endowment and its spatial distribution, tourism node degree of convenient transportation, the dynamic change of tourists preference is the main factors influencing the development of tourism flow network structure evolution.
WANG Xiaofang, GUO Yan, LI Yusheng , ZHENG Wensheng
. Evolutionary Research on Network Structure of Urban Tourism Flow from a Multi-scale Perspective: A Case Study of Wuhan City[J]. Areal Research and Development, 2023
, 42(2)
: 93
-99
.
DOI: 10.3969/j.issn.1003-2363.2023.02.015
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