Spatial and Temporal Variations in Offshore Crude Oil Transportation: Insights From China's Coastal Ports

ABSTRACT Analyzing the spatial and temporal variations of offshore crude oil transportation at China's coastal ports is critical for the country's energy security. The automatic identification system provides high‐resolution real‐time data on China's offshore crude oil transportation, offering more precise spatial and temporal insights than existing statistical studies. In this study, we propose a novel method for calculating offshore crude oil transportation volumes by considering the operational status of crude oil tankers as “empty” or “full.” This approach enhances reliability and provides detailed port‐level transport data. Our findings reveal notable similarities between the centrality measures of maritime oil transportation and oil tanker networks, but significant differences in community divisions. Specifically, in the tanker networks, Chinese ports are categorized into three regions, with one region being dominant and the other two regions containing only four ports. In contrast, the oil flow networks show China divided into two major regions and two minor ones. This study offers valuable contributions to strengthening energy security in China and supports informed policy development and implementation.

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Publication Details

Journal
Transactions in GIS
Published
2024-10-04
DOI
https://doi.org/10.1111/tgis.13260
Citations
1
Primary Topic
Maritime Ports and Logistics
Type
article
Field-Weighted Citation Impact
0.35

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article

Spatial and Temporal Variations in Offshore Crude Oil Transportation: Insights From China's Coastal Ports

Yijia Xiao, Zhaojin Yan, Yanming Chen, Xinyu Cai et al.
1 citations
Transactions in GIS
Maritime Ports and Logistics
0.35
article

Spatial and Temporal Variations in Offshore Crude Oil Transportation: Insights From China's Coastal Ports

Yijia Xiao, Zhaojin Yan, Yanming Chen, Xinyu Cai, Keyan Hu, Changgui Yin
article en
1 citations

Abstract

ABSTRACT Analyzing the spatial and temporal variations of offshore crude oil transportation at China's coastal ports is critical for the country's energy security. The automatic identification system provides high‐resolution real‐time data on China's offshore crude oil transportation, offering more precise spatial and temporal insights than existing statistical studies. In this study, we propose a novel method for calculating offshore crude oil transportation volumes by considering the operational status of crude oil tankers as “empty” or “full.” This approach enhances reliability and provides detailed port‐level transport data. Our findings reveal notable similarities between the centrality measures of maritime oil transportation and oil tanker networks, but significant differences in community divisions. Specifically, in the tanker networks, Chinese ports are categorized into three regions, with one region being dominant and the other two regions containing only four ports. In contrast, the oil flow networks show China divided into two major regions and two minor ones. This study offers valuable contributions to strengthening energy security in China and supports informed policy development and implementation.

Transactions in GISVol. 28(8)
Hohai University (CN), China University of Mining and Technology (CN), Shandong Marine Resource and Environment Research Institute (CN), National Marine Data and Information Service, Nanjing University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 35%
Maritime Ports and Logistics
0.35
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Spatial and Temporal Variations in Offshore Crude Oil Transportation: Insights From China's Coastal Ports — Yijia Xiao, Zhaojin Yan, et al. · Transactions in GIS (2024) | TGRS Research Map | TGRS