Enhancing Resilience in China’s Refined Oil Product Distribution Network: A Complex Network Theory Approach with Optimization Strategies

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Authors: Qingning Shen, Lin Lin, Tongtong Hou, Cen Song
Cited by: 1
References: 22

Abstract

Considering the escalating international geopolitical tensions and the ensuing great power maneuvers, China’s oil supply faced unprecedented threats. To safeguard against these risks and harness domestic resources more effectively, addressing the stability of refined oil supply had become an urgent imperative. The complex network theory is integrated into oil product delivery logistics, accounting for transportation volumes, distances, and node importance. Through simulation, we evaluated each scheme’s efficacy using a case study from a province in northwest China. The results demonstrate notable improvements in network robustness across all four strategies. The key node focuses on protection measures emerged as the most effective, followed by the oil depot resource optimization strategy and the network topology optimization strategy, in descending order. By mitigating the risks stemming from international uncertainties, our strategies ensured the timely supply of refined oil products, thereby upholding the stable functioning of the national economy.

Fields of Study & Subjects

Complex Network Analysis Techniques Global Energy and Sustainability Research Infrastructure Resilience and Vulnerability Analysis

Publication details

Journal / source
Systems
Publisher
MDPI AG
Volume
14
Issue
1
Pages
69–69
Publication date
8 January 2026
Language
EN