Journal of Navigation and Port Research (한국항해항만학회지)

Korean Institute of Navigation and Port Research (한국항해항만학회)
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An Analysis of Major Railway in Eurasia and Characteristics of China's Rail Network

유라시아의 주요 철도노선과 중국 철도 네트워크의 특징 분석 - TAR, TEN-T, TRACECA, GMS를 중심으로 -

  • Song, Min-Geun (Graduate school of Logistics, Incheon National University) ;
  • Yeo, Gi-Tae (Graduate school of Logistics, Incheon National University)
  • 송민근 (인천대학교 동북아물류대학원) ;
  • 여기태 (인천대학교 동북아물류대학원)
  • Received : 2017.05.19
  • Accepted : 2017.06.29
  • Published : 2017.06.30
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Abstract

While many countries are implementing various policies regarding the logistics network in Eurasia, China has presented "the Belt and Road" Initiative, a development strategy that focuses on connectivity and close cooperation between China and Eurasia. With more than 60 countries participating in the project, China is expected to have a major influence on logistical infrastructure development in Eurasia. This study analyzed the railway stations network using social network analysis (SNA) methodology. We collected data from major railway lines in Eurasia (TAR, TEN-T, TRACECA, GMS) and established a network of 994 railway stations in 65 countries. This study presented the general characteristics of major railway stations from the perspective of SNA and compared the Chinese network with Eurasian networks. To review the railway networks in China and Eurasia, the top 30 stations were selected based on degree centrality and betweenness centrality. Top "degree centrality" stations included Bangkok (Thailand), Tbilisi (Georgia), Baku (Azerbaijan), Kunming (China), and Bucharest (Romania). Top "betweenness centrality" stations were Baku and Alyat (Azerbaijan), Baoji and Turpan (China), Qarshi (Uzbekistan), and Kas (Turkey). In China, Kunming, Nanning, and Gejiu stations have higher degree centrality while betweenness centrality was higher in Baoji, Kunming, and Lanzhou stations. "The Belt and Road" project advocated by China envisions expansion of transportation infrastructure connections throughout Eurasia, but more emphasis is likely to be placed on connectivity that benefits China. In this regard, studies on key bases of international logistics need to consider relative significance within the Chinese network.

유라시아의 지역 내 인프라 연결과 협력에 관하여 많은 국가들이 다양한 정책을 추진하고 있는 가운데 중국은 일대일로 사업을 제시했으며, 60여 개국 이상이 사업에 참여하면서 중국은 유라시아 물류 인프라 개발에서 매우 큰 영향력을 행사하게 될 것으로 예상되고 있다. 본 연구는 사회네트워크 방법론을 통해 주요 철도역에 대한 네트워크를 분석했다. 유라시아 대륙의 대표적 철도노선인 TAR, TEN-T, TRACECA, GMS 경로를 통해 65개 국가, 994개 철도역에 대한 네트워크를 구성했으며, SNA의 측면에서 주요 철도역에 대한 특징을 제시하고, 중국과 전체 유라시아 네트워크를 비교했다. 유라시아 및 중국 네트워크에 대한 분석을 통해 연결중심성과 매개중심성에서 각각 상위 30개 역을 제시했으며, 연결성 측면에서 태국 방콕, 조지아의 트빌리시, 아제르바이젠의 바쿠, 중국의 쿤밍, 루마니아의 부쿠레슈티 등이, 매개성 측면에서 아제르바이젠의 바쿠, 알야트, 중국의 바오지, 투르판, 우즈베키스탄의 카르시, 터키의 카스 등이 높은 순위를 보였다. 또한, 중국 네트워크에서는 쿤밍, 난닝, 거쥬역의 연결성과 바오지, 쿤밍, 란저우역 등의 매개성이 높게 도출되었다. 중국에서 추진하는 일대일로 사업은 유라시아 전체의 인프라 연결 확충을 기본 전제로 하고 있지만, 중국과의 연계성 강화를 위한 인프라 개발에 높은 비중이 예상되며, 이런 관점에서 국제 물류 거점에 대한 연구는 중국 네트워크에서 차지하는 중요성을 병행해서 검토할 필요가 있다.

Keywords

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