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基于数字足迹的桂林市旅游流时空特征分析

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利用从马蜂窝旅游网采集的网络游记作为数据来源,研究2012-2019 年间桂林市旅游流的时空特征.结果表明:第一,桂林市旅游流在时间上具有明显的季节性特征,但季节性特征趋于减弱;第二,桂林市旅游流主要为西北—东南走向,整体上呈现出"两大核心、四个层级、分布不匀、高度聚集"的空间分布格局;第三,桂林市旅游流网络结构中,存在节点强度分布不均、结构洞、内部节点竞争力差异大等特征.针对时空特征给桂林市旅游业带来的限制,提出了相应的解决建议.
Analysis on Spatial and Temporal Characteristics of Tourism Flow in Guilin City Based on Digital Footprint
The researchers explored the temporal and spatial characteristics of tourism flows in Guilin City from 2012 to 2019 with data collected from online travel notes from Mafengwo Tourism Network.The results show three findings.Firstly,the tourism flow presents obvious seasonal characteristics in terms of time,but the seasonal char-acteristics tend to weaken.Secondly,the tourism flow in Guilin presents mainly a"northwest-southeast"trend in terms of direction,showing a spatial distribution pattern of"two cores,four-level hierarchy,uneven distribution,and high aggregation".Lastly,the tourism flow network structure shows characteristics such as uneven distribution of node strength,structural holes,and large differences in the competitiveness of internal nodes.Finally,the re-searchers propose corresponding solutions for the disadvantages in the tourism industry brought by the spatial and temporal characteristics.

tourism flowspatial and temporal characteristicsdigital footprintGuilin City

郭强、姚建盛

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桂林理工大学 旅游与风景园林学院,广西 桂林 541006

桂林理工大学 广西旅游产业研究院,广西 桂林 541006

旅游流 时空特征 数字足迹 桂林市

2024

洛阳师范学院学报
洛阳师范学院

洛阳师范学院学报

CHSSCD
影响因子:0.219
ISSN:1009-4970
年,卷(期):2024.43(8)