Spatial distribution map of roads, railways and pipelines in China Mongolia Russia economic corridor from 1990 to 2020 1) Spatial data of highway, railway and pipeline in 1990; Spatial data of roads, railways and pipelines in China Mongolia Russia economic corridor in 2015; Spatial data of roads, railways and pipelines in China Mongolia Russia economic corridor in 2020; 2) Download the remote sensing images within the China Mongolia Russia economic corridor on NASA website and use arcgis10 2 software manual interpretation and extraction of highway and railway; Map elements are marked with the help of Russian atlas; The pipeline data shall be manually marked with reference to relevant maps; 3) The scale of the atlas is 1:2500000, which clearly reflects the changes of traffic and pipelines in the China Mongolia Russia economic corridor in recent 30 years,; 4) The data shows in detail the changes of traffic and pipelines in the China Mongolia Russia economic corridor in recent 30 years, which provides a data basis for the later study of the impact of traffic and pipeline construction on the change of ecological environment.
BU Xiaoyan
The resilience data set of basic public service development in countries along the Belt and Road reflects the level of resilience of basic public service development in each country, and the higher the data value, the stronger the resilience of basic public service development in the countries along the Belt and Road. The development resilience of basic public services includes the development resilience of education, health care, infectious disease prevention and control, road transport, electricity penetration and Internet development. The data products were prepared by referring to the World Bank statistical database, using the year-by-year data of 19 indicators of countries along the "Belt and Road" from 2000 to 2019, taking into account the year-by-year changes of each indicator, based on sensitivity and adaptability analysis, and through comprehensive diagnosis, the products on the resilience of basic public service development were prepared and generated. The data set on the resilience of basic public service development in countries along the "Belt and Road" is an important reference for analysing and comparing the current resilience of basic public service development in various countries.
XU Xinliang
On the basis of field scientific research, this parameter set integrates the parameters of debris flow disaster chain and landslide disaster chain observed along important roads in Himalayan and Hengduan Mountains. The regional scope covers Nyingchi, Shannan, Bomi, Basu, Shigatse, Ali and other regions of the Tibet Autonomous Region, as well as the East Asia rift valley of the China India channel. The source and mode of data production are processed according to the original data obtained from field scientific investigation. This parameter set is mainly based on the field investigation to determine the location and type of disaster and disaster chain, the damage of major highway projects and other information, and then sorted into tables and shp files. It is hoped that this data can provide help for disaster prevention and reduction of road projects in the Qinghai Tibet Plateau.
DENG Hongyan
The types and distribution data sets of major projects in the Qinghai Tibet Plateau mainly include major hydropower projects, major road projects, major mining projects, major port projects and oil field projects. Among them, road projects include national highway, high-speed, railway and power grid projects, and hydropower projects are mainly the project point documents of hydropower station dam site. The data is obtained through data collection and remote sensing image interpretation. The main attributes of the project data are project naming (naming method is project type - project name - project construction year, in which the naming method of hydropower project is project type - watershed name - project name - Project storage year), project construction year, related projects and other characteristics. The data has been checked and modified for many times, and the quality is reliable.
QI Shengwen
This data set includes the social, economic, resource and other relevant index data of Gansu, Qinghai, Sichuan, Tibet, Xinjiang and Yunnan in the Qinghai Tibet Plateau from 2000 to 2015. The data are derived from Gansu statistical yearbook, Qinghai statistical yearbook, Sichuan statistical yearbook, Xizang statistical yearbook, Xinjiang statistical yearbook, Yunnan statistical Yearbook China county (city) socio economic statistical yearbook And China economic network, guotai'an, etc. The statistical scale is county-level unit scale, including 26 county-level units such as Yumen City, Aksai Kazak Autonomous Region and Subei Mongolian Autonomous County in Gansu Province, 41 county-level units such as Delingha City, Ulan county and Tianjun County in Qinghai Province, 46 counties such as Shiqu County, Ruoergai County and ABA County in Sichuan Province, and 78 counties such as Ritu County, Gaize county and bango County in Tibet, 14 counties including Wuqia County, aktao county and Shache County in Xinjiang Province, and 9 counties including Deqin County, Zhongdian county and Fugong County in Yunnan Province; Variables include County GDP, added value of primary industry, added value of secondary industry, added value of tertiary industry, total industrial output value of Industrial Enterprises above Designated Size, total retail sales of social consumer goods, balance of residents' savings deposits, grain output, total sown area of crops, number of students in ordinary middle schools and land area. The data set can be used to evaluate the social, economic and resource status of the Qinghai Tibet Plateau.
CHEN Yizhong
This data includes the accessibility of 15 kinds of public facilities and services, such as roads and schools, in the communities of 1280 households at domestic and abroad, as well as the farmers' satisfaction with these public facilities and public services by comparing that with 3 years ago and current status with neighboring village. This data is used to support the analysis of the material capital part of sustainable livelihood. The primary data collected by the research group in household survey. Before collecting the data, the research group and invited experts conducted a preliminary survey and improved the survey questionnaire; Before the formal investigation, the personnel participating in the data collection were strictly trained; In the formal survey, each questionnaire is checked three times before it is filed. 4. This data is of great value for understanding the physical capital accessibility and satisfaction of rural households in environment-economic fragile areas, and is an important supplement to national and macro data.
Linxiu ZHANG, BAI Yunli
This data includes the accessibility of 15 kinds of public facilities and services, such as roads and schools, in the communities of 1280 households at domestic and abroad, as well as the farmers' satisfaction with these public facilities and public services by comparing that with 3 years ago and current status with neighboring village. This data is used to support the analysis of the material capital part of sustainable livelihood. The data was collected by the research group through field survey in 2019. Before collecting the data, the research group and invited experts conducted a pretest and improved the survey questionnaire; Before the formal investigation, the members participating in the data collection were strictly trained; In the formal survey, each questionnaire is checked three times before it is filed. This data is of great value for understanding the physical capital accessibility and satisfaction of rural households in environment-economic fragile areas, and is an important supplement to national and macro data.
Linxiu ZHANG, BAI Yunli
This data includes the accessibility of 15 kinds of public facilities and services, such as roads and schools, in the communities of 1280 households at domestic and abroad, as well as the farmers' satisfaction with these public facilities and public services by comparing that with 3 years ago and current status with neighboring village. This data is used to support the analysis of the material capital part of sustainable livelihood. The data was collected by the research group through field survey in 2019. Before collecting the data, the research group and invited experts conducted a pretest and improved the survey questionnaire; Before the formal investigation, the members participating in the data collection were strictly trained; In the formal survey, each questionnaire is checked three times before it is filed. This data is of great value for understanding the physical capital accessibility and satisfaction of rural households in environment-economic fragile areas, and is an important supplement to national and macro data.
Linxiu ZHANG, BAI Yunli
This data includes the accessibility of 15 kinds of public facilities and services, such as roads and schools, in the communities of 1280 households at domestic and abroad, as well as the farmers' satisfaction with these public facilities and public services by comparing that with 3 years ago and current status with neighboring village. This data is used to support the analysis of the material capital part of sustainable livelihood. The data was collected by the research group through field survey in 2019. Before collecting the data, the research group and invited experts conducted a pretest and improved the survey questionnaire; Before the formal investigation, the members participating in the data collection were strictly trained; In the formal survey, each questionnaire is checked three times before it is filed. This data is of great value for understanding the physical capital accessibility and satisfaction of rural households in environment-economic fragile areas, and is an important supplement to national and macro data.
Linxiu ZHANG, BAI Yunli
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