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Data Details

Road & Railway Network Density Dataset in the Belt and Road and Surround Region in 1km Resolution (2016)


NIU Zheng1KOU Peiying1LIU Zhengjia2BI Kaiyi1MENG Meng1
1Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 1001012Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101

DOI:10.3974/geodb.2017.03.15.V1

Published:Oct. 2017

Visitors:825       Data Files Downloaded:258      
Data Downloaded:40392.33 MB      Citations:

Key Words:

the Belt and Road,road,railway,density,2016

Abstract:

The road & railroad network density is one of the key indexes of regional economic development, and it is also the fundamental element information of implementing the facilities connectivity. Based on the real-time updated OpenStreeetMap road data, by calculating the total road long in meters in each km², the road density raster data in the Belt and Road and surround region, including Asia, Europe, Africa, Australia and New Zealand was calculated. By the similar method, the railway density data was developed with GIS superposition analysis. The dataset is achieved in .rdd format, and the data size is 2.88GB for road density and 1.67GB for railway density (158MB for compressed data size).

Foundation Item:

Data Citation:

NIU Zheng,KOU Peiying,LIU Zhengjia,BI Kaiyi,MENG Meng.Road & Railway Network Density Dataset in the Belt and Road and Surround Region in 1km Resolution (2016)[DB/OL].Global Change Research Data Publishing & Repository,2017.DOI:10.3974/geodb.2017.03.15.V1.

Kou, P. Y., Niu, Z., Liu, Z. J., et al. Road & railway network density dataset at 1 km over the Belt and Road and surround region [J]. Journal of Global Change Data & Discovery, 2017, 1(4): 402–407. DOI: 10.3974/geodp.04.03.

Data Product:

ID Data Name Data Size Operation
1 RoadRailwayDensity_B&R_2016.rar 160316.86kb DownLoad
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum