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O-D contact network Dataset on China’s Central Cities Railway Passenger Transport Connects (2013)


WANG Haijiang1,2MIAO Changhong2
1School of Surveying & Land information Engineering Henan Polytechnic University Jiaozuo454000 Henan China2Key Research Institute of Yellow River Civilization and Sustainable Development/College of Environment & Planning,Henan University,Kaifeng 475004,China

DOI:10.3974/geodb.2016.03.02.V1

Published:Jun. 2016

Visitors:1578       Data Files Downloaded:136      
Data Downloaded:63.75 MB      Citations:

Key Words:

central city,railway passenger,transport contact,O-D contact network,China,Geographical Research

Abstract:

For understanding how busy the railway passenger transport connects among China’s central cities, the O-D contact network methodology is used based on the online information of China’s railway schedule in 286 cities of China in September 2013. The O-D contact networkDataset on China’s Central Cities Railway Passenger Transport Connects (2013) is consisted of :Table 1: Statisticsof central city railway passenger transport in China; Table 2: Statistics of the main railway passenger transport contact directions and their intensity among major central cities of China; and Table 3: Statistics of the interactive railway passenger transport contact of central cities in China. The center cities geolocation GIS data is also included. The dataset is archived at the .shp and .xls formats, the compressed data size is 480KB. The research paper was published at the Journal of Geographical Research, No. 1. Vol. 34,2015.

Foundation Item:

National Natural Science Foundation of China (41371133、41430637); Ministry of Education of China (10YJC790251).

Data Citation:

WANG Haijiang,MIAO Changhong.2016.O-D contact network Dataset on China’s Central Cities Railway Passenger Transport Connects (2013) ( CHNCtRailwayPasTransConne_2013 ) ,Global Change Research Data Publishing & Repository,DOI:10.3974/geodb.2016.03.02.V1

Data Product:

ID Data Name Data Size Operation
1 CHNCtRailwayPasTransConne_2013.zip 479.99kb 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

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