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author:

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

Indexed by:

EI

Abstract:

Liquefied petroleum gas (LPG), as a clean and low-carbon energy source, is playing an increasingly vital role in global energy consumption. LPG trade is conducted through maritime transportation between ports. The intricate transport relationships involved form a complex trading network, and a clear, long-term understanding of this network will clarify global LPG trade patterns and their evolution at the port scale. This study adopted a set of complex network indices and a community detection method to analyze global LPG trade patterns and their evolution from the perspective of the trading community on the port scale using mass vessel trajectory data collected during 2013–2017. The results derived were as follows. 1) LPG transportation network is characterized by multiple transshipments, while the number of LPG transshipments shows a trend of decrease. 2) The LPG trade network has formed a series of closely connected communities around hub ports, and the hub ports of different communities have also gradually become more closely interconnected. 3) Trade links between the various communities have gradually strengthened over time, and LPG trade shows an evolutionary trend from regional agglomeration to globalization. © 2019 Elsevier Ltd

Keyword:

Complex networks Energy utilization Gasoline International trade Liquefied petroleum gas Trajectories Waterway transportation

Community:

  • [ 1 ] [Peng, Peng]State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing; 100101, China
  • [ 2 ] [Peng, Peng]University of Chinese Academy of Sciences, Beijing; 100049, China
  • [ 3 ] [Cheng, Shifen]State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing; 100101, China
  • [ 4 ] [Cheng, Shifen]University of Chinese Academy of Sciences, Beijing; 100049, China
  • [ 5 ] [Lu, Feng]State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing; 100101, China
  • [ 6 ] [Lu, Feng]University of Chinese Academy of Sciences, Beijing; 100049, China
  • [ 7 ] [Lu, Feng]The Academy of Digital China, Fuzhou University, Fuzhou; 350002, China
  • [ 8 ] [Lu, Feng]Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing; 210023, China

Reprint 's Address:

  • [lu, feng]the academy of digital china, fuzhou university, fuzhou; 350002, china;;[lu, feng]state key laboratory of resources and environmental information system, institute of geographic sciences and natural resources research, chinese academy of sciences, beijing; 100101, china;;[lu, feng]university of chinese academy of sciences, beijing; 100049, china;;[lu, feng]jiangsu center for collaborative innovation in geographical information resource development and application, nanjing; 210023, china

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Source :

Journal of Cleaner Production

ISSN: 0959-6526

Year: 2020

Volume: 252

9 . 2 9 7

JCR@2020

9 . 8 0 0

JCR@2023

ESI HC Threshold:132

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 13

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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