摘要
利用应用程序接口(Application Programming Interface,API)获取青岛市2004—2019年游客上传的8132张地理照片及其元数据,采用地理信息系统(Geographic Information System,GIS)空间分析法探究游客时空行为特征,获取游客对时间以及目的地的偏好,并对照片标签深入挖掘,筛选出关键词,采用词频统计方法将游客偏好可视化。研究发现:青岛市入境旅游流分布范围高度集中,呈现“南密北疏”的总体格局,具有明显的边缘化特征;游客偏好夏季以及具有城市特色的旅游区,呈现明显的季节和目的地趋向,充分说明照片空间分布与旅游资源吸引力密切相关。
The analysis of tourists'travel preferences and spatiotemporal behavior characteristics has become an important research content of tourism.This paper applied Flickr API to crawl 8132 geographical photos and their metadata uploaded by tourists in Qingdao from 2004 to 2019,and applied GIS spatial analysis method to explore tourists'spatiotemporal behavior characteristics and obtain tourists'preferences in time and destination,digged deeper into the photo tags,filtered out the keywords,and used the word frequency statistics method to visualize the tourist's preferences.The results showed that the distribution range of inbound tourism flows in Qingdao was highly concentrated,presenting the overall pattern of"dense in the south and sparse in the north",with obvious marginalization characteristics.Tourists preferred summer and tourist areas with urban characteristics,showing an obvious trend of season and destination,which fully indicated that the spatial distribution of photos was closely related to the attraction of tourism resources.
作者
孙丽君
张东鹏
朱燕煌
SUN Lijun;ZHANG Dongpeng;ZHU Yanhuang(College of Geomatics,Shandong University of Science and Technology,Qingdao Shandong 266590,China;CRCC Harbour and Channel Engineering Group Company Limited,Zhuhai Guangdong 519000,China)
出处
《北京测绘》
2021年第4期471-475,共5页
Beijing Surveying and Mapping
关键词
地理标记照片
时空行为
语义分析
geotagged photos
spatiotemporal behavior
semantic analysis
