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Transnational Economic Connection Analysis Based on Railway Class Accessibility Between China and Russia

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Abstract

Under the background of ‘the Belt and Road’ initiative, the economic cooperation has great potential between China and Russia. The railway accessibility has an important influence on the economic connections of cities along the railway line. This paper studied the Sino-Russian transnational economic connection based on the railway class accessibility along Trans-Siberian railway (the transnational China railway branch line). The results are as following. First, the railway accessibility of the Chinese nodes is stronger than that of the Russian nodes, which in general displays a tendency of space attenuation from China to the Sino-Russian border, then to Russia. Spatially, the railway accessibility within the study area shows a ‘High East, Low West’ and ‘High South, Low North’ spatial pattern. The railway accessibility of the nodes, which are located at the beginning and end of the railway line, is weaker than those nodes located in the middle of the line. Second, the railway accessibility and external economic connection intensity summation of the nodes show a positive relationship along the railway line. The economic connection intensity summation of different nodes presents obvious regional differentiation. Finally, as economic connection network has evolved, the small world effect of Sino-Russian railway economic connection network becomes strong.

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Authors and Affiliations

  1. Northeast Institute of Geography and Agroecology, Chinese Academy Sciences, Changchun, 130102, China

    Nanchen Chu, Pingyu Zhang & He Li

  2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China

    Nanchen Chu, Pingyu Zhang & He Li

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  1. Nanchen Chu
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  2. Pingyu Zhang
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Correspondence to Pingyu Zhang.

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Foundation item: Under the auspices of National Science and Technology Basic Project of the Ministry of Science and Technology of China (No. 2017FY101303-1), National Natural Science Foundation of China (No. 41571152, 41771179), the Knowledge Innovation Program of CAS (No. ZDRW-ZS-2017-4-3-4, ZDBS-SSW-SQC)

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Chu, N., Zhang, P. & Li, H. Transnational Economic Connection Analysis Based on Railway Class Accessibility Between China and Russia. Chin. Geogr. Sci. 29, 872–886 (2019). https://doi.org/10.1007/s11769-019-1064-9

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