摘要
旅游数字足迹数据源的出现,使学者对旅游流时空特征分析更细致且准确性更高。本文以“去哪儿网”的网络游记作为数据源,聚焦于游客赴内蒙古的旅游流时空特征及网络特征,并运用统计分析、空间分析以及社会网络分析法进行时空以及网络结构分析。以研究结果表明:(1)赴内蒙古旅游的客流量具有明显的季节性特征,且游客停留时间较短。(2)旅游流节点空间分布表现出明显的不均衡性,如呼伦贝尔大草原等核心节点集聚性表现明显。(3)各节点在旅游流网络中表现出的内部关联性整体较差。(4)旅游流网络中,以呼伦贝尔大草原、满洲里套娃景区、满洲里国门景区等核心节点之间的关联性较高,具有显著的高集聚性和高辐射力,对周边的劣势景点造成负面影响。
The emergence of tourism digital footprint data sources helps to analyze the spatial and temporal characteristics of tourism flows in a more detailed and accurate manner.Using the online travel notes of"Qunar.com"as the data source,this paper focused on the spatiotemporal characteristics and network characteristics of tourists'travel to Inner Mongolia and analyzes them.The research results showed that:(1)The passenger flow to Inner Mongolia had obvious seasonal characteristics,and the tourists stay for a short time.(2)The spatial distribution of tourism flow nodes showed obvious imbalance,such as the clustering of core nodes such as Hulunbuir Prairie.(3)The internal correlation of each node in the tourism flow network was generally poor.(4)In the tourism flow network,core nodes such as Hulunbuir Prairie,Manzhouli Matryoshka Scenic Spot,and Manzhouli Guomen Scenic Spot were highly correlated,with significant high agglomeration and high radiation,which would negatively affect nearby scenic spots influences.
作者
陈宇
卞书娣
张晓涵
CHEN Yu;BIAN Shudi;ZHANG Xiaohan(College of Geodesy and Geomatics,Shandong University of Geodesy and Geomatics,Qingdao Shandong 266590,China)
出处
《北京测绘》
2023年第2期226-233,共8页
Beijing Surveying and Mapping
关键词
旅游流
数字足迹
时空特征
内蒙古
tourism flow
digital footprint
spatiotemporal characteristics
Inner Mongolia
