| 引用本文： |
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白焜,王秀秀,徐孟远,王苑宇.漓江风景名胜区自助游游憩网络结构演化特征与驱动机制研究[J].广西科学,2024,31(6):1188-1206. [点击复制]
- BAI Kun,WANG Xiuxiu,XU Mengyuan,WANG Yuanyu.Evolution Characteristics and Driving Mechanism of Self-Guided Travel Recreational Network Structure in Lijiang River Scenic Area[J].Guangxi Sciences,2024,31(6):1188-1206. [点击复制]
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| 摘要: |
| 在全域旅游深入发展的背景下，游客对户外游憩的需求日益多元化，推动了风景名胜区游憩系统的演变。因此，本研究基于自助游游客的GPS轨迹大数据，对桂林市漓江风景名胜区自助游游憩系统的驻留景点进行识别，构建游客不同游憩行为投影的漓江风景名胜区自助游游憩网络，并通过社会网络分析法研究不同时段漓江风景名胜区自助游游憩网络的结构演化特征，系统解析漓江风景名胜区自助游游憩网络的演进机理。研究结果发现，2017-2022年，受景点更新、空间邻近性、交通便捷性等因素影响，景区游憩网络结构逐步优化：核心节点(如兴坪古镇、相公山)保持较高中心性，而边缘节点吸引力逐渐增强，网络社区呈现多核心的空间组织模式。研究还对漓江风景名胜区的空间布局优化提出相应的规划应对策略，拟为风景名胜区全域网络空间的智慧化管理与更新提供参考。 |
| 关键词: 风景名胜区 游憩网络 网络演化特征 社会网络分析 驱动机制 |
| DOI：10.13656/j.cnki.gxkx.20241207.013 |
| 投稿时间：2024-06-29修订日期：2024-09-05 |
| 基金项目:国家自然科学基金项目(52468008)和广西自然科学基金项目(桂科AD21220100)资助。 |
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| Evolution Characteristics and Driving Mechanism of Self-Guided Travel Recreational Network Structure in Lijiang River Scenic Area |
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BAI Kun, WANG Xiuxiu, XU Mengyuan, WANG Yuanyu
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| (College of Tourism & Landscape Architecture, Guilin University of Technology, Guilin, Guangxi, 541006, China) |
| Abstract: |
| In the context of the in-depth development of all-for-one tourism,tourists'demands for outdoor recreation become increasingly diverse,which promotes the evolution of the recreational system in scenic areas.Based on extensive GPS trajectory data of self-guided tourists,the lingering scenic spots in the Lijiang River Scenic Area in Guilin were identified,and a recreational network reflecting different recreation behaviors of tourists was constructed.The social network analysis was performed to investigate the structural evolution characteristics of the self-guilded travel recreational network at different stages in the Lijiang River Scenic Area.The evolutionary mechanism of the self-guided travel recreational network in the Lijiang River Scenic Area was deciphered.The results showed that the recreational network structure was gradually improved from 2017 to 2022,which was attributed to scenic spot upgrading,space adjacency,and transportation convenience.The core nodes such as Xingping Ancient Town and Xianggong Mountain kept high centrality,while marginal nodes attracted increasing attention.The network communities presented a spatial pattern with multiple core nodes.According to the results,planning strategies were proposed for optimizing the spatial layout in the Lijiang River Scenic Area,aiming to provide references for the smart management and renewal of the network space in this scenic area. |
| Key words: scenic area recreational network network evolution characteristics social network analysis driving mechanism |
