基于众源数据的城市旅游流空间网络结构分析——以南昌市为例  

Analysis of Spatial Network Structure of Urban Tourism Flow Based on Crowdsourced Data——A Case Study of Nanchang

作　　者：张黔龙 刘波[1] 李大军[1] 张昆 刘旺勤 ZHANG Qianlong;LIU Bo;LI Dajun;ZHANG Kun;LIU Wangqin(School of Surveying and Geoinformation Engineering,East China University of Technology,330013,Nanchang,PRC;Nanchang Normal University,330032,Nanchang,PRC)

机构地区：[1]东华理工大学测绘与空间信息工程学院,南昌330013 [2]南昌师范学院,南昌330032

出　　处：《江西科学》2025年第1期132-139,共8页Jiangxi Science

基　　金：国家自然科学基金项目(42161064,42104030);江西省自然科学基金项目(20232ACB204032)。

摘　　要：为了探讨城市旅游流的空间网络结构及影响,以南昌市为研究对象,基于众源数据,利用DBSCAN聚类算法提取旅游AOI,并从旅游吸引力、交通便捷度、旅游接待能力、旅游资源禀赋和旅游节点知名度5个方面对AOI片区进行聚集分析,运用社会网络的中心度分析和结构洞测量对南昌市旅游流空间网络结构的形成及影响因素进行探讨。结果表明,南昌市景点分布形成以八一起义纪念馆片区为核心的聚集现象,且有着充分的条件和潜力证明可以依托八一起义纪念馆、八一广场等红色文化景区,打造独特的红色旅游品牌。在南昌市旅游流空间格局中,旅游流量过度集中于少数核心景点,结构洞现象较为明显,导致旅游目的地之间竞争激烈,网络结构失衡。通过研究,能为南昌市旅游景点推广及路线规划提供相应的参考和决策支持。In order to explore the spatial network structure and influence of urban tourism flow,the study took Nanchang city as a case study.DBSCAN clustering algorithm was used to extract tourism AOI based on crowdsourced data.The clustering analysis of AOI areas was conducted from five aspects:tourism attraction,transportation convenience,tourism reception capacity,tourism resource endowment and the popularity of tourism nodes.Social network analysis was adopted to examine centrality and structural holes,investigating the formation and influencing factors of Nanchang's tourism flow spatial network.The results demonstrate that:1)Nanchang's attractions form a clustered phenomenon centered around the August 1st Uprisin g Memorial Hall area,with sufficient conditions and potential to demonstrate that Nanchang can build a unique red tourism brand relying on the August 1st Uprisin g Memorial Hall,August 1st Square and other red culture attractions.2)In the spatial pattern of Nanchang's tourist flow,the flow is excessively concentrated in a few core attractions,with obvious structural hole phenomena,leading to intense competition among destinations and an imbalanced network structure.This research can provide insights for the promotion of tourist attractions and route planning in Nanchang.

关 键 词：众源数据 旅游流 空间结构 社会网络分析 聚集分析 

分 类 号：F590.1[经济管理—旅游管理]