基于线上线下视角的武夷山国家公园空间活力特征及影响因素  

Spatial vitality characteristics and influencing factors of Wuyi Mountain National Park from online and offline perspectives

作　　者：崔亭亭 朱里莹 张丽甜 叶永祥 林沁兰 严敏珑 Cui Tingting;Zhu Liying;Zhang Litian;Ye Yongxiang;Lin Qinlan;Yan Minlong(College of Landscape Architecture and Art,Fujian Agriculture and Forestry University,Fuzhou 350100,Fujian,China)

机构地区：[1]福建农林大学风景园林与艺术学院,福建福州350100

出　　处：《北京林业大学学报》2025年第4期117-128,共12页Journal of Beijing Forestry University

基　　金：国家自然科学基金项目(32401461);福建省891号科技专项项目(115-KLY23110XA);福建农林大学专项项目(XJQ2021S2)。

摘　　要：【目的】探究国家公园空间活力特征及其影响因素,为国家公园的空间规划与景观资源的生态−社会价值再开发提供科学依据。【方法】以武夷山国家公园东部景区为例,基于多源社交媒体数据,综合运用核密度分析、空间自相关分析和地理加权回归模型等方法,分析线上线下活力空间分布特征,并探讨自然环境与社会体验因素对活力的影响系数及其空间异质性关系。【结果】(1)线上线下活力空间分布呈现“多中心、局部聚集”格局,核心活力区集中于九曲溪流域区域。(2)公园活力受到多种因素影响,且对线上线下活力的影响呈现不同的相关关系。其中,距水体距离、NDVI、坡度、商业服务设施、旅游景点设施、景点知名度、地理可进入性是线上线下活力的共同影响因素。(3)在自然因素维度中,距水体距离是线上线下活力的主要影响因素(线上相关系数−0.0336、线下相关系数−0.0857);在社会体验维度中,景点资源质量等级与线上活力的正相关关系最强(相关系数为0.4388),而基础服务设施与线下活力正相关关系最强(相关系数为0.3469)。(4)不同影响因素对公园线上线下活力呈现出不同的正负影响效应,且表现出明显的空间异质性;所有影响因子对线上线下活力的影响均呈现正负两种效应。【结论】协同分析国家公园线上线下活力的空间分布特征的研究视角具有全面的空间量化研究优势,相关分析结果为国家公园的空间布局优化和活力整体提升提供科学依据。建议依托景观资源的独特风貌,结合网络媒体的传播效应,提升国家公园的空间活力;加强基础设施建设,满足游客多样化需求,充分挖掘现存空间的潜力;精准评估国家公园生态环境承载力,鼓励对低活力区域的合理开发与利用。[Objective]The objective of this study is to explore the characteristics and influencing factors of spatial vitality in national parks,and to provide a scientific basis for the spatial planning of national parks and the redevelopment of eco-social value of landscape resources.[Method]Taking the eastern scenic spot of Wuyi Mountain National Park,Fujian Province of eastern China as an example,based on multi-source social media data,kernel density analysis,spatial autocorrelation analysis and geographically weighted regression model were used to analyze the spatial distribution characteristics of online and offline vitality,and the influence coefficient of natural environment and social experience factors on vitality and its spatial heterogeneity relationship were discussed.[Result](1)The spatial clustering of both online and offline vitality followed a“multi-center,localized clustering”pattern,with the core vitality zones concentrated in the Jiuquxi River,Fujian Province of eastern China.(2)Park vitality was influenced by various factors,which exhibited different correlations with online and offline vitality.Common influencing factors for both online and offline vitality included distance to water bodies,NDVI,slope,commercial service facilities,tourist attraction facilities,attraction popularity,and geographical accessibility.(3)Among natural factors,distance to water bodies was the primary influencing factor for both online(−0.0336)and offline(−0.0857)vitality.In the social experience dimension,quality rating of attraction resources showed the strongest positive correlation with online vitality(0.4388),while density of basic service facilities had the strongest positive correlation with offline vitality(0.3469).(4)Different influencing factors had varying positive and negative effects on online and offline vitality,exhibiting significant spatial heterogeneity.All influencing factors demonstrated both positive and negative impacts on online and offline vitality.[Conclusion]The research perspective of collab

关 键 词：武夷山国家公园 线上线下视角 空间活力 数字足迹 地理加权回归 

分 类 号：S759.9[农业科学—森林经理学]