Dataset of Road Transportation Network Indicators in the Chengdu-Chongqing Economic Circle (2000-2020)
ZONG Huiming1,2LIU Hao3,4LUO Kui5
1 Key Laboratory of Monitoring， Evaluation and Early Warning of Territorial Spatial Planning Implementation， Ministry of Natural Resources， Chongqing 401147， China2 Institute of Chinese Modernization， Southwest University， Chongqing 400715， China3 Institute of Geographic Sciences and Natural Resources Research， Chinese Academy of Sciences， Beijing 100101， China4 Hanhong College， Southwest University， Chongqing 400715， China5 School of Geographical Sciences， Southwest University， Chongqing 400715， China，
DOI:10.3974/geodb.2026.06.02.V1
Published:June. 2026
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Key Words：
Chengdu-Chongqing Economic Circle,road transportation network,transportation accessibility,county-level data,
Abstract：
Based on multi-source spatial data, including administrative boundaries, classified roads, settlements, expressway access points, and central-city nodes, we applied GIS methods such as buffer analysis, nearest-neighbor analysis, cost-raster analysis, and origin-destination cost matrix analysis to systematically quantify the road transportation network characteristics of 116 county-level units in the Chengdu-Chongqing Economic Circle for 2000, 2010, and 2020. Then the dataset of road transportation network indicators in the Chengdu-Chongqing Economic Circle (2000-2020) was obtained. The dataset includes: (1) county-level road transportation network indicator data, including ID, year, county name (Chinese and English), and eight indicators—classified road network density, settlement coverage by county roads, settlement coverage by provincial and national roads, proximity to expressway access points, internal network accessibility, external network accessibility, accessibility to prefecture-level urban centers, and accessibility to the Chengdu-Chongqing dual cores—all transformed using ln(x+1); and (2) descriptions of data fields and indicators. The dataset is archived in .xls format, and consists of one data file with data size of 57.2 KB. The analysis paper based on the dataset will be published at Acta Geographica Sinica, Vol. 81, No. 8, 2026.
Foundation Item：
National Natural Science Foundation of China (42471193); Chongqing Federation of Social Sciences (2023ZDSC01)
Data Citation：
ZONG Huiming, LIU Hao, LUO Kui. Dataset of Road Transportation Network Indicators in the Chengdu-Chongqing Economic Circle (2000-2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2026. https://doi.org/10.3974/geodb.2026.06.02.V1. .
References：
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Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
CCEC-RTNI.xls |
57.30KB |
|