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author:

Peng, Peng (Peng, Peng.) [1] | Lu, Feng (Lu, Feng.) [2] | Cheng, Shifen (Cheng, Shifen.) [3] | Yang, Yu (Yang, Yu.) [4]

Indexed by:

SSCI EI Scopus SCIE

Abstract:

As the demand for sustainable energy sources is increasing globally, the popularization and application of clean energy has become an inevitable trend. Natural gas is playing an increasingly vital role in global energy consumption. The vast majority of natural gas is transported between ports in vessels in the form of liquefied natural gas (LNG) due to the geographical separation between the supply and demand countries. Analyzing its transportation pattern is of great significance for optimizing trade strategies between countries and ensuring their energy import and export security. However, existing knowledge on detailed trade patterns at the port level is limited. In this study, we adopted a set of network indices and a classic community detection method to investigate global LNG transportation networks using mass vessel trajectory data collected from 2013 to 2017. The results show that 1) the LNG transportation network is characterized by closer connections; 2) Singapore, Ras Laffan, and Khawr Fakkan have the most important roles in the LNG transportation network; 3) the global LNG trade network has developed several closely connected trading communities since 2013, and ports within individual communities have gradually become more geographically concentrated; and 4) the global LNG trade network has evolved into three closely linked trading zones, i.e., a zone encompassing some of the ports in the Middle East, Australia, Singapore, East Asia, and Southeast Asia; a zone encompassing the remaining ports of the Middle East, East Africa, the Mediterranean, and Europe; and the ports in the Americas, which is a relatively independent trade zone. (C) 2020 Elsevier Ltd. All rights reserved.

Keyword:

Complex network Hub port Liquefied natural gas trade Trade pattern Trading community Vessel trajectory data

Community:

  • [ 1 ] [Peng, Peng]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
  • [ 2 ] [Lu, Feng]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
  • [ 3 ] [Cheng, Shifen]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
  • [ 4 ] [Peng, Peng]Univ Chinese Acad Sci, Beijing 100049, Peoples R China
  • [ 5 ] [Lu, Feng]Univ Chinese Acad Sci, Beijing 100049, Peoples R China
  • [ 6 ] [Cheng, Shifen]Univ Chinese Acad Sci, Beijing 100049, Peoples R China
  • [ 7 ] [Yang, Yu]Univ Chinese Acad Sci, Beijing 100049, Peoples R China
  • [ 8 ] [Yang, Yu]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
  • [ 9 ] [Lu, Feng]Fuzhou Univ, Acad Digital China, Fuzhou 350002, Peoples R China
  • [ 10 ] [Lu, Feng]Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China

Reprint 's Address:

  • 陆锋

    [Lu, Feng]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China

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Source :

JOURNAL OF CLEANER PRODUCTION

ISSN: 0959-6526

Year: 2021

Volume: 283

1 1 . 0 7 2

JCR@2021

9 . 8 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:105

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 35

SCOPUS Cited Count: 39

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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