摘要
基于反映景区网络关注度的百度检索量、携程旅行点评量、新浪微博粉丝量和抖音粉丝量的指标,运用自然断裂分级法和核密度估计等方法,对中原核心地区郑汴洛黄金旅游带的133个A级旅游景区的网络关注度的空间差异进行分析,并利用空间回归分析探索其影响因素.结果显示:①空间分布格局方面,从总体网络关注度水平视角看,高关注度区和较高关注度区主要是洛阳市区的核心景点和等级高的知名景点,中、低关注度区主要为低等级和规模较小的景点,这类景点主要位于市、县界边缘地带且分布范围广泛.从子系统关注度视角看,百度检索量、微博粉丝量与总体关注度水平下的空间格局基本相似,且龙门石窟的相似性更加明显,只有个别景区出现了较大的差异.抖音粉丝量与总体关注度水平差异较大,在该子系统中只有郑州方特欢乐世界呈现高值.②空间集聚程度方面,从总体关注度水平视角看,呈现出以洛阳市区、开封市区、嵩山少林景区为主的多个等级层次明显的集聚中心.此外,在中牟、新安、伏牛山一带还隐约出现了次级集聚中心.从子系统关注度视角看,百度、微博与总体水平的集聚状态类似,呈现出高密度集聚区均以洛阳市区为核心的状态;而携程和抖音两者较为相似,但与总体水平有明显差异,且在开封、中牟出现高密度集聚区.③从影响因素来看,旅游景区的等级、占地面积及收入对其网络关注度产生显著影响,旅游景区的承载量、接待量以及门票价格对其影响不明显.
Based on the indexes of Baidu search volume,Ctrip review volume,Sina Weibo fans and Douyin fans that reflect the network attention of tourist attractions,this paper analyzed the spatial pattern difference of network attention of 133 A-level tourist attractions in Zhengzhou-Kaifeng-Luoyang Golden Tourism Belt by using Jenks Natural Breaks,Kernel density and other methods.At the same time,the influencing factors were analyzed by spatial regression model.The results found that:Firstly,in the spatial distribution pattern,in terms of the overall network attention level,the high and higher areas are mainly the core scenic spots and the well-known scenic spots with high levels within the jurisdiction of Luoyang city,while the middle-value and low-value areas are mainly low-grade and small-scale scenic spots,most of which are located at the edge of city and county boundaries and have a wide distribution range.From the perspective of subsystem attention,the spatial pattern of Baidu search volume and Weibo fans are basically similar to the overall level of attention,among which the similarity of Longmen Grottoes is more obvious,and only a few scenic spots show great differences.The number of Douyin fans differed greatly from the overall level of attention,and only Zhengzhou Fangtewild adventure showed a high value in this subsystem.Secondly,in spatial agglomeration degree,in terms of the overall network attention level,there are multiple hierarchy apparent agglomeration centers such as Luoyang,Kaifeng,and Songshan Shaolin Temple scenic spots.In addition,the area around in Funiu,Xinan,Zhongmu,looming from secondary cluster center subsystem attention perspective,Baidu,Weibo is similar to the overall level of agglomeration state,showing a high density concentrated area in Luoyang city as the core;Ctrip and Douyin are similar,but they are significantly different from the overall level,and there are high-density agglomeration areas in Kaifeng and Zhongmu.Thirdly,from the perspective of influencing factors,the grade,land area,and income of tourist attractions have a significant effect on their attention,while the effect of carrying capacity,reception volume and ticket prices of scenic spots have no obvious effect on it.
作者
赵芮
孟怡伟
刘卓林
宋永鹏
ZHAO Rui;MENG Yiwei;LIU Zhuolin;SONG Yongpeng(College of Environment and Planning/The Centre for the Regional Development and Planning/Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions,Ministry of Education/National Demonstration Center for Environment and Planning,Henan University,Henan Kaifeng475004,China)
出处
《河南大学学报(自然科学版)》
CAS
2021年第3期268-279,共12页
Journal of Henan University:Natural Science
基金
国家自然科学基金资助项目(41701130)
河南省高校科技创新人才支持计划(2021-CX-016)
河南省哲学社会科学规划年度项目(2020BJJ018)
河南省科技发展计划项目(212400410156)
开封市科技发展计划项目(软科学036)。
关键词
旅游景区
网络关注度
空间格局
影响因素
郑汴洛
tourist attractions
network attention
spatial pattern
influencing factors
Zhengzhou-Kaifeng-Luoyang