This channel would release Beijing, or the whole China, micro-data and maps (e.g. road networks, parcels, human mobility, historical city maps) for the BCL research fellows and external researchers. There are three levels of data access, free download, email request, and shared among research fellows / student members.
How to cite:
Beijing City Lab, Year, Data ID, Data Name, http://www.beijingcitylab.com
E.g. Beiing City Lab, 2013, Data 8, Housing price in Beijing, http://www.beijingcitylab.com
(For the dataset from external source other than BCL, we would recommend you to cite the original source)
We are sharing the Didi car hailing records derived functional urban areas of China in the format of GIS ShapeFiles. Please cite our paper when you use the data.
Ma S, Long Y. 2020. Functional urban area delineations of cities on the Chinese mainland using massive Didi ride-hailing records. Cities, 97: 102532.
We are sharing 141375 street blocks in 63 Chinese cities in 2017 in the format of GIS ShapeFiles. The data depicts street block scale three-dimensional attributes of these Chinese cities. They were computed using the 3.357 million large-scale three-dimensional building data (footprint with floor number).
The visualization of the data is available at our GeoHey portal.
Eleven attributes are available in the data, including ID of the block (PARCEL_ID), name of cities (CITY_NAME), number of buildings (BLD_Count), average floor number (BLD_FLOORN), average floor area ratio (BLD_FAR), average building density (BDL_bldDen), types of street block form (FORM_TYPE), the blocks in the CBD (In CBD), dominant function (FUNCTION), density of function (DENSITY), and mixing degree of function (MIX).
Please cite the following paper when you use our data in a study.
Ying Long, Pai Li, Jingxuan Hou. “Three-Dimensional urban form at the street block level for major cities in China.” Shanghai Urban Planning Review, 2019(3): 10-15.