Recognizing mixed urban functions from human activities using representation learning methods
收藏数据链接：
官方服务：
资源简介：
The dataset contains human activity data in Fifth Ring Road of Beijing, China. The raw data contain Didi taxi origin-destination (OD) in Aug. - Sep., 2016, Sina Weibo tweets in 2016, and the traffic analysis zones (TAZ) of the research area. The 'results.zip' contains the result of the research, including three embedding vectors and proportions of mixed urban functions.The source code of this study and data preprocess pipeline can be found at https://github.com/ToaruJ/MixedUrbanFunctions
提供机构：
figshare创建时间：
2022-09-13
