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. 

 

Our released datasets are stored in DropBox. We would like to recommend you setup DropBox for downloading the datasets to your account. This is helpful when the download is temporally unavailable due to too many requests.

 

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)

 

Free external data plase click here>> 

Data released 1-20-->


37 New urban data for old city of Beijing

2018

We are sharing all urban big data we have for the old city of Beijing (around 62 sqkm in area). The inventory and GIS layers are as follows.

 

Download
DT37_Detailed_Data_Descriptions.pdf
Adobe Acrobat Document 4.4 MB

To access these data, please join our online MOOC course BIG DATA AND URBAN PLANNING and they are available for downloading when you have registered the course

 

URL: http://www.xuetangx.com/courses/course-v1:TsinghuaX+70000662+2018_T2/about 

I would suggest you cite the following papers as a courtesy for using our data.

  • Long Y. Redefining Chinese city system with emerging new data[J]. Applied Geography, 2016, 75: 36-48.
  • 龙瀛, 郎嵬. 新数据环境下的中国人居环境研究[J]. 城市与区域规划研究, 2016, 8(1):10-32.
  • 龙瀛, 罗子昕, 茅明睿. 新数据在城市规划与研究中的应用进展[J]. 城市与区域规划研究, 2018, 10(2):85-103.

 

Download
Long 2016 Redefining Chinese City System
Adobe Acrobat Document 5.8 MB
Download
Long and Lang 2016 Understanding Chinese Human Settlements
龙瀛和朗嵬 2016 中国人居环境研究.pdf
Adobe Acrobat Document 3.3 MB
Download
Long et al 2018 Urban Big Data Review in China
龙瀛等 2018 新数据应用进展综述.pdf
Adobe Acrobat Document 3.7 MB

36 Grid level and national wide urban vitality and their impacting factors in China

2018

As what has been promised in our publication Long and Huang 2017 EPB_Vitality, I am now sharing the grid-level and national-wide urban vitality and the impacting factors data for all in the format of Shape Files. If you have any question regarding this data, please email ylong@tsinghua.edu.cn for more information. Prior to email me, I would suggest you have a close look at the above online visualization and our shared paper/slides listed below. 

 

Your citing the following paper would be appreciated if you use our sharing data for research. 

 

Long, Y., & Huang, C. C. (2017). Does block size matter? The impact of urban design on economic vitality for Chinese cities. Environment and Planning B: Urban Analytics and City Science, 2399808317715640.

Download
DT36_UrbanVitality.zip
Compressed Archive in ZIP Format 2.8 MB
Download
Long and Huang 2017 EPB_Vitality.pdf
Adobe Acrobat Document 584.2 KB
Download
Long and Huang 2017 EPB_Vitality PPT_Sli
Adobe Acrobat Document 6.7 MB

35 High-resolution Multi-temporal Mapping of Global Urban Land

2018

Timely and accurate information of large-scale urban land distributions is fundamental to the understanding of global environmental changes. However, research of the global-scale urban land expansion and its long-term environmental impacts has been restricted by the shortage of high-resolution multi-temporal global urban land data. Most of the contemporary global urban land products have the coarse resolution of 500 to 1000 m, and the pertinent data is available for one year or two years only. Inconsistency among these products further exacerbates issues faced by researchers. Therefore, it is still difficult to obtain a clear picture of how global urban land expands over a long historical period using solely contemporary global urban land products.  

 

To overcome this issue, we developed a new multi-temporal global impervious surface product, which is derived from Landsat images pertaining to the 1990-2010 period with a five-year interval. This is the world’s first multi-temporal data set of global impervious surface at 30-m resolution. The production of this data requires sophisticated tools that provide functions for efficient image selection and extensive computation. The Google Earth Engine, which is an open access cloud-based computing platform with comprehensive image data (including the collection of Landsat images), can perfectly fulfill the technical needs for the extraction of global impervious surfaces from an extensive amount of Landsat images. Using this platform, we designed an approach for automatic impervious surface extraction by segmenting the calculated Normalized Urban Areas Composite Index (NUACI), a recently developed indicator for detecting impervious surfaces. We conducted the region-specific calibration and testing for this approach based on the stratification scheme of ‘urban ecoregions’ proposed in extant literature. In comparison with the existing global urban land products, our mapping results provide much more detailed information, while also yielding a significantly improved accuracy, as indicated by the Kappa values are 0.4280-0.4953 at the global level, and ~0.3306 (in China) and ~0.4163 (in the US) at the country level. These figures reveal that the produced multi-temporal global impervious surface data are of reasonably good quality and can substantially support ongoing and future research focusing on the dynamics of global urban land expansion.

 

More information about the data is HERE.

 

Multi-temporal urban land products and reference datasets from 1990 - 2010 are available to download in Google Drive and Baidu Cloud (access password "tihz")

34 Points of interest of China

2017

Points of interest of China in 2014 (10.6 million) shared in the format of ESRI ArcGIS File Geodatabase

 

Please send your data request to beijingcitylab@gmail.com while indicating your data using purpose as well as yourself. 

 

Welcome cite the following papers (which use the data as well) for courtesy of using the data for publication.

  1. Long, Y. (2016). Redefining Chinese city system with emerging new data. Applied Geography, 75, 36-48.
  2. Jin, X., Long, Y., Sun, W., Lu, Y., Yang, X., & Tang, J. (2017). Evaluating cities' vitality and identifying ghost cities in China with emerging geographical data. Cities, 63, 98-109.
Download
Long 2016 AG_Redefine.pdf
Adobe Acrobat Document 5.8 MB
Download
Jin et al 2017 Cities_GhostCities.pdf
Adobe Acrobat Document 3.8 MB

33 Parking places of Beijing

2017

Almost all parking places of Beijing in 2014 are shared in the dataset. 

 

Data format: Shape Files

The data contributors: Ying Long

 

Download
DT33.zip
Compressed Archive in ZIP Format 300.9 KB

32 The new data of Yichun, a shrinking city in North East China

2016

According to our previous bibliometrics study (城市规划的知识产出、消费与网络), the large Chinese cities have been attracted over much attention from researchers, and most of small cities in China are not well studied. For alleviating this situation, we are releasing the emerging new data (open data) for a small city in North East China, Yichun, which is experiencing population shrinking (for more, see the BCL project 15 Shrinking Cities, http://www.beijingcitylab.com/projects-1/15-shrinking-cities/). We hope this effort may shed light on the research for Shrinking Cities in China as well as potentially improve the quality of life of this small city through the lends of more studies and better decision making. 

 

Data format: ESRI ArcGIS 10.x, File Geodatabase

The data contributors: Ying Long, Dong Li (more to come)

Please send your data request to beijingcitylab@gmail.com while indicating your data using purpose as well as yourself. 

 

Welcome cite our papers:

1. Long Y, Wu K, 2016, “Shrinking cities in a rapidly urbanizing China”, Environment and Planning A 48 220-222

2. Liu X, Song Y, Wu K., Wang J, Li D, Long Y. (corresponding author), 2015, “Understanding urban China with open data”, Cities 47 53-61

3. Li D, Long Y, 2015, “A crowed-sourced data based analytical framework for urban planning”, China City Planning Review 24 49-57

31 Impervious surface areas interpreted from DMSP-OLS and MODIS

2016

We are sharing the urban areas interpreted from night time images DMSP-OSL and MODIS. The data provided by Prof Xiaoping Liu from Sun Yat-sen University cover the whole China for 2000, 2005 and 2010. Please cite the attached paper in case you use the data for research. 

Download
DT31.zip
Compressed Archive in ZIP Format 10.8 MB
Download
Please cite this paper.pdf
Adobe Acrobat Document 2.1 MB

30 Bus stops of China in 2013

2015

We gathered bus stops of most Chinese cities in 2013. We have used this data for bus coverage estimation. Bus coverage ratio of each city, a key indicator of 公交都市(交通部), was calculated by dividing the area of urban land overlaid with bus service coverage area with the total urban area of the city. Please see "1 Bus coverage of Chinese cities" for details (http://www.beijingcitylab.com/ranking/). 

 

We are now sharing the bus stops of China which we used for our study. Please cite our recent paper in your publication using our data (attached below).

 

http://www.upforum.org/current.php?id=463

 

Please address your data request to Mr Miaoyi Li (email: limiaoyichn@sina.cn) for the ShapeFiles dataset of bus stops. We would be always ready to provide the full dataset. 

 

Download
In Chinese
李苗裔和龙瀛 2015 城市规划学刊_全国公交覆盖.pdf
Adobe Acrobat Document 2.3 MB

29 Points of interest in Germany, France and UK

2015

Prof Bin Jiang is willing to share points of interest in Germany, France and UK with all BCLers and those who are paying attention to us. Please direct visit his portal at ResearchGate for the data downloading.

 

https://www.researchgate.net/publication/283044394_GermanyPOI
https://www.researchgate.net/publication/283044287_UKPOI
https://www.researchgate.net/publication/283043870_FrancePOI

All these data have been used in the previous work:
https://www.researchgate.net/publication/270634544_Headtail_Breaks_for_Visualization_of_City_Structure_and_Dynamics

Citation to the paper is welcomed. 


If you meet a problem on data downloading from ResearchGate, please address your email to beijingcitylab(at)gmail(dot)com and we would send you a Baiduyun link directly. Please keep in mind that the data on ResearchGate may be updated by Prof Jiang, and those updates may not included in the Baiduyun link. 

28 DMSP/OLS interpreted urban areas of China in 1992-2007

2015

Generated by DMSP/OLS 夜光遥感影像

Format: GeoTIFF

Provided by the BCL research fellow Prof HE Chunyang at Beijing Normal University

 

Download: click the file link below. 

For urban areas in 2008 produced by Prof HE, please see BCL Data 16. 

 

Cite: Yang, Y., He, C., Zhang, Q., Han, L., & Du, S. (2013).Timely and accurate national-scale mapping of urban land in China using Defense Meteorological Satellite Program’s Operational Linescan System nighttime stable light data. Journal of Applied Remote Sensing, 7(1), 073535-073535. (see the link below for the full paper)

 

Other datasets of BCL that might interest you.

  • 15 Parcel maps for 297 Chinese cities
  • 17 Impervious area of China
  • 22 Urban areas of China in 2012 (by various methods)
  • 26 Natural cities of China 1992-2012
Download
DT28.zip
Compressed Archive in ZIP Format 2.3 MB
Download
The paper that relates to the data shared
DT28paper.pdf
Adobe Acrobat Document 5.1 MB

27 Various datasets from the BCL SinoGrids projects

2015

City-related data, with a rapid growth in amount, is involving various aspects of everyone’s daily life. City researchers are devoting efforts to deepen our understanding of city based on unorthodox data. However, as most data are too precise and thus, sharing these data may offend the benefits of the original data holders. In such context, focusing on the extent of China, we initiated SinoGrids, a platform for the sharing of micro-scale data based on a 1km fishnet. Guidelines and Tools are provided for the micro-scale data holders to downscale their original datasets onto the 1km fishnet and upload to the platform of SinoGrids, forming a crowdfunding platform for basic data in China.


In terms of the scale, 1km2 is a scale both available for regional analysis between cities and internal studies of a certain city. Also, SinoGrids will share its data in the crowdsourcing way. The collected datasets, from either donations of scholars or open internet resources, (e.g. Weibo, taxi trajectory, road junctions, bus stops, photos) will be summarized to the fishnet and made public on SinoGrids data platform. In other words, the total amount of Weibo, Flickr photos and bus stops, etc. per 1km2 according to the fishnet will be displayed on the platform. The platform will also maintain the most and complete indexes and data guidelines for the convenient implementation of the public. On the one hand, data holders donate their micro-scale data through SinoGrids. On the other hand, they can realize regional analysis, urban studies, city planning consultation, and public participation under the guidelines of SinoGrids. SinoGrids will be a public and open platform for city-related data, with a hope to provide complete and transparent data support for quantized researches and regional analysis.


For data browsing and downloading, please navigate to "14 SinoGrids" in the BCL Projects channel (Click me).

26 Natural cities of China 1992-2012

2014

Natural cities in each year during 1992-2012 generated by Prof Bin Jiang (http://fromto.hig.se/~bjg/)

For more about Natural City, please visit Prof Bin Jiang's arXiv: http://arxiv.org/a/jiang_b_1

 

Format: ShapeFiles

To cite: Jiang B. (2015), Head/tail breaks for visualization of city structure and dynamics, Cities, 43, 69-77. (http://www.sciencedirect.com/science/article/pii/S026427511400198X)

 

Download
DT26.zip
Compressed Archive in ZIP Format 9.1 MB

25 Flickr photos of China

2014

All  2,171,162 photos of China (till March 2014), prepared by Dr LI Dong

 

Format: ShapeFiles

Source: http://webscope.sandbox.yahoo.com/catalog.php?datatype=i&did=67

Download
Data download
DT25.rar
compressed file archive 91.9 MB

24 Beijing check-in records from Sina Weibo

2014

All check-in records collected from Sina Weibo in 2013

Totally 868 m check-ins for all 143,576 venues

 

Note that the coordinates of this data have been modified officially (火星坐标系). Additional georeferencing might be needed. 

To cite: Long Y, Liu X, 2013, “How mixed is Beijing, China? A visual exploration of mixed land use” Environment and Planning A 45: 2797–2798

Download
Data download
DT24.zip
Compressed Archive in ZIP Format 22.2 MB

23 Inter-city connection of China (from various papers)

2014

We release the dataset of several papers on inter-city network analysis by BCL research fellows. More is coming in future.

 

1 Liu, Y., Sui, Z., Kang, C., & Gao, Y. (2014). Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data. PloS one, 9(1), e86026.

2 甄峰, 王波, & 陈映雪. (2012). 基于网络社会空间的中国城市网络特征. 地理学报, 67(8).

 

Format: MS Excel

Download: https://www.dropbox.com/s/74bxdvdkyfywvqc/DT23.zip

Download
Data download
DT23.zip
Compressed Archive in ZIP Format 5.4 MB

22 Urban areas of China in 2012 (by various methods)

2014

We BCLers have been busy with mapping urban areas of China using various approaches like benchmarking road junction density and population density, as well as vector cellular automata. 

 

Download: This dataset is open to all BCL members.

To cite: Long Y, Shen Y, 2014, Mapping parcel-level urban areas for a large geographical area, arXiv preprint arXiv:1403.5864. (http://arxiv.org/abs/1403.5864) Later this has been published in Annals of AAG

 

Four ShapeFile layers are included in the package:

(1) Road junction density

(2) Population density (based on BCL Data 19)

(3) Vector cellular automata

(4) GLOBCOVER

 

In addition, you can download BCL Data 16 DMSP/OLS interpreted urban areas of China in 2008 (night light images), and urban areas reflected by BCL Data 17 Impervious area of China (actually urban areas overestimated by the data). 

Download
Data download
DT22.zip
Compressed Archive in ZIP Format 42.6 MB

21 Road junction density of China in 2011

2014

Process: kernal density of all road junctions of China in 2011 (searching radius 1000m)

Spatial resolution 200m

Density (ESRI GRID): https://www.dropbox.com/s/eppkm3p1jfyx6ae/DT21.zip

Junctions (ShapeFile): please email ylong@tsinghua.edu.cn for the raw junctions of China (over 2 million junctions)

Map download: https://www.dropbox.com/s/a3pxlcz42b7rcdq/Viz17.jpg.

Provided by Dr Ying Long

 

 To cite: Long Y, Shen Y, Jin X, 2015, “Mapping block-level urban areas for all Chinese cities”, Annals of the American Association of Geographers 106 96-113

Download
DT21Junctions.zip
Compressed Archive in ZIP Format 52.3 MB