The resilience of road traffic development in countries along the Belt and Road reflects the level of resilience of road traffic development in the countries along the Belt and Road, and the higher the value of the data, the stronger the resilience of road traffic development in the countries along the Belt and Road. The road traffic development resilience data product is prepared by referring to the World Bank statistical database, using the year-by-year data of four indicators, namely road mileage, railway mileage, air traffic and container terminal throughput of the countries along the "Belt and Road" from 2000 to 2019, and based on the year-by-year changes of each indicator, based on sensitivity Based on the sensitivity and adaptability analysis, the road traffic development resilience product is prepared through comprehensive diagnosis. The data set of road traffic development resilience of countries along the "Belt and Road" is an important reference for analysing and comparing the current road traffic development resilience of countries.

File naming and required software

File naming: The road traffic development resilience dataset is stored in ARCGIS vector data shape files, and the name of the compressed file is "traffic.zip".
Data reading method: The data is uncompressed into ARCGIS vector data shape file format, please use ARCGIS software to open it, the value corresponding to the TRAFFIC field in the data attribute table is the road traffic development resilience of the country.

Data Citations Data citation guideline What's data citation?

Cite as:

Xu, X. (2022). Resilience dataset for road traffic development in countries along the Belt and Road (2000-2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272274. CSTR: 18406.11.HumanNat.tpdc.272274. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)