利用VIIRS DNB数据分析特殊时段旅游时空演变特征——以2013至2020年国庆黄金周为例  

Spatial-temporal Evolution Characteristics of Tourism in Special Periods Based on Nighttime Light Data:A Case Study of National Day Golden Week from 2013 to 2020

作　　者：吴语欣 金平斌[1] WU Yuxin;JIN Pingbin(School of Earth Sciences,Zhejiang University,Hangzhou 310027,China)

机构地区：[1]浙江大学地球科学学院,杭州310027

出　　处：《遥感信息》2023年第1期88-98,共11页Remote Sensing Information

摘　　要：基于社会统计与手机信令数据的传统旅游研究存在数据成本高、覆盖窄、客观性差等问题。遥感数据成本低、范围大、动态快速且客观,尤其是夜间灯光数据具有反映人类活动的特性,在旅游时空演变的研究上具有优势。文章基于VIIRS DNB数据提出一种分析特殊时段旅游时空演变特征的方法。该方法提出区域夜灯变动指标的概念,并将其作为旅游发展特征研究的替代量,多角度探究我国31个省级行政区2013—2020年国庆黄金周旅游发展的时空演变特征。结果表明,研究期内华中地区发展迅猛,西北地区稳定增长,旅游地理重心主频呈现向西北方向迁移的现象。Traditional tourism research is based on social statistics and cellular signaling data,but it has some problems,such as high cost of data acquisition,narrow coverage and poor objectivity,which makes it difficult to conduct tourism research efficiently and accurately.Remote sensing data has the characteristics of low cost,large range,dynamic,rapid and objective,especially the nighttime light remote sensing data,which can reflect the strength of human activities and social economy,and has the advantage in the study of the spatial-temporal evolution of tourism.Based on VIIRS DNB nighttime light remote sensing data,this paper proposes a method to analyze the temporal and spatial evolution characteristics of tourism in special periods.This method proposes an index named variation of regional nighttime light(VNL),and takes it as a substitute quantity for the research on tourism development characteristics,to explore the spatial-temporal evolution characteristics of tourism development in 31 provincial administrative regions during the national day golden week from 2013 to 2020 from multiple perspectives.The results show that during the period,central China develops rapidly,while northwest China grows steadily,and the geographic center of tourism migrates to the northwest.

关 键 词：VIIRS DNB 夜间灯光 国庆黄金周 国内旅游 空间迁移 旅游地理重心 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]