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厦门市旅游流网络结构研究

A Research on Network Structure of Tourism Flow in Xiamen City

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基于携程旅行和去哪儿网站发布的游客旅行游记数据,以厦门市作为研究区域,通过社会网络分析法,揭示厦门市旅游流整体网络结构特征.结果表明:出游厦门市的游客以"中长假期"为主,停留时间较长.从停留时间来看,四日游占比高于其他时间,本地长途游很受青睐;在对厦门市36 个旅游节点的研究中,旅游流网络结构呈不均衡分布,核心景点作用明显;厦门大学在旅游流网络中占据的流量比重大,处于核心位置;海湾公园、鹭江道、日光岩等景点则处于边缘地带.因此,应完善厦门市的旅游流网络结构,实现厦门市的旅游优质化发展.
Based on tourist travel data released by Ctrip and Qunar,taking Xiamen City as a research area,this paper reveals the overall network structure characteristics of tourism flow in Xiamen through social network analysis.The results show that the"medium-long vacation"effect of tourists traveling in Xiamen is more obvious,and the effective stay time is longer.From the perspective of stay time,four-day tour accounts for more than other time,and local long-distance tour is very popular.In the study of 36 tourism nodes in Xiamen,the distribution of tourism flow network structure is unbalanced,and the role of core scenic spots is prominent.Xiamen University occupies a significant flow ratio in the tourism flow network and is at the core position.Scenic spots such as Bay Park,Lujiang Road and Sunlight Rock are on the edge.Finally,it puts forward the corresponding strategies for the high-quality development of Xiamen's tourism economy,and improves the network structure of Xiamen's tourism flow,in order to provide reference for the high-quality development of Xiamen's tourism.

tourism digital footprintstourism flowspace network structureXiamen City

张发梓、葛阳、靳一东、张琳、陈宇韬、胡乔峰、林玉英

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福建师范大学

智慧旅游福建省高校重点实验室 福建福州 350117

旅游数字足迹 旅游流 空间网络结构 厦门市

福建省科技厅创新战略研究项目国家自然科学基金项目

2021R004941901221

2024

龙岩学院学报
龙岩学院

龙岩学院学报

影响因子:0.192
ISSN:1673-4629
年,卷(期):2024.42(1)
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