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黄河流域城市旅游虚实耦合协调水平的空间差异

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文章以黄河流域67个地级市(州、盟)为研究单元,运用耦合协调度模型、核密度、双变量空间自相关等方法对2022年黄河流域城市旅游的虚实耦合协调水平进行测度并对空间分异、集聚状态和关联特征进行分析,根据评价结果进行类型划分。结果表明:①从空间分异特征看,耦合协调水平整体呈"东南高,西北低"的梯度空间分布特征,且以西安市为中心向西南—东北方向延伸形成"V"字形高值区集聚带。从核密度分析看,耦合协调水平在空间上形成一个"山"字形高密度集聚区和一个以兰州市为中心的较高密度区,显示出旅游空间结构的局部集聚特征。②从耦合协调等级看,大部分城市所处的等级不高,其中61%的城市处于轻度失调等级,37%处于中度失调等级,仅西安市达到了初级协调等级。③从空间关联特征看,耦合协调水平的空间关联效应不明显,仅出现了1个显著H-H区(宝鸡市)、1个显著L-L区(甘南藏族自治州)和2个显著H-L区(兰州市和忻州市)。④从类型划分看,"高虚拟—高实体—高耦合"类型的城市仅有西安市,而"低虚拟—中实体—中耦合"类型的城市数量占比最大,"低虚拟—低实体—低耦合"类型次之,"中虚拟—中实体—中耦合"类型的城市有12个,反映出黄河流域城市旅游线上推广与线下资源整体实力不强且耦合性较弱。⑤从影响因素看,互联网宽带接入用户数、计算机服务和软件业从业人员、中国区域创新创业指数以及地方一般公共预算支出对城市旅游虚实耦合协调水平有显著影响,政府支持力度与自然环境支撑、交通便利程度交互后对虚实耦合协调水平影响作用得到加强。
Spatial Differences of the Coupling Coordination Level Between Virtual Development and Physical Development of Urban Tourism in the Yellow River Basin
Taking 67 prefecture-level cities in the Yellow River basin as the research areas and using the methods of the coupling and coordination model,the kernel density,and the bivariate spatial autocorrelation,this study analyzes the spatial distribution,agglomeration state,and association characteristics of the coupling coordination level between virtual development and physical development of urban tourism in the Yellow River basin.Based on the evaluation results,67 prefecture-level cities were classified into different types.The results show that:1)The overall coupling coordination level shows the gradient spatial distribution characteristics which"high in the southeast of the Yellow River basin and low in the northwest of the Yellow River basin"and forms a V-shaped high-value agglomeration belt taking Xi'an as the center and extending to the southwest-northeast direction.In terms of kernel density distribution,the coupling coordination level between virtual development and physical development of urban tourism show uneven distribution,high-value areas form a"山"-shaped(Chinese character)distribution centered on Lanzhou,the spatial structure of tourism shows the local agglomeration characteristics.2)From the perspective of coupling coordination level,most cities are not at a high level.Among them,61% of the cities are at the mild disorder level,37% are at the moderate disorder level,and only Xi'an is at the primary coordination level.3)In terms of spatial correlation characteristics,the spatial correlation effect of the coupling coordination level is not obvious,it has only one significant H-H zone(Baoji City),one significant L-L zone(Gannan Tibetan Autonomous Prefecture)and two significant H-L zones(Lanzhou City and Xinzhou City).4)From the classification of types,only Xi'an City falls into the"high virtual-high physical-high coupling"category.The largest proportion of cities is in the"low virtual-medium physical-medium coupling"type,followed by the"low virtual-low physical-low coupling"type.12 cities fall into the"medium virtual-medium physical-medium coupling"category.This reflects the overall weak strength and weak coupling between online promotion and offline resources of tourism in cities of the Yellow River basin.5)From the perspective of influencing factors,the number of Internet broadband access users,the number of employees in the computer services and software industry,the China regional innovation and entrepreneurship index,and local general public budget expenditures significantly impact the coupling coordination level between virtual development and physical development of urban tourism.Additionally,the interaction between government support strength,the natural environment,and transportation accessibility further enhances the impact on the coupling coordination level between virtual development and physical development of urban tourism.

Internet attentiontourismcoupling coordination degree modelsmart tourismInternet information levelscientific and technological innovationgovernment supportthe Yellow River basin

马芳芳、王世鹏、王芳、丁志伟、罗婉琳

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河南大学 地理与环境学院,中国 河南 开封 475004

河南大学 区域发展与规划研究中心,中国 河南 开封 475004

河南大学 黄河中下游数字地理技术教育部重点实验室,中国 河南 开封 475004

河南大学 环境与规划国家级实验教学示范中心,中国 河南 开封 475004

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网络关注度 旅游业 耦合协调度模型 智慧旅游 互联网信息水平 科技创新 政府支持 黄河流域

国家自然科学基金项目国家自然科学基金项目河南省研究生教育改革与质量提升工程项目河南省本科高校研究性教学改革与实践项目

4227121342301237YJS2024SZ26教高[2023]388号

2024

经济地理
中国地理学会 湖南省经济地理研究所

经济地理

CSTPCDCSSCICHSSCD北大核心
影响因子:2.575
ISSN:1000-8462
年,卷(期):2024.44(5)