Research on the Resilience of Emergency Industry Supply-Demand Network Based on Cascading Failure

这篇论文研究了基于级联失效的应急产业供需网韧性,旨在为提升应急响应效率提供理论依据和实践指导。作者构建了一个应急产业供需网的级联失效模型,并通过模拟不同强度的随机攻击,分析节点失效对网络稳定性的影响,量化了网络的抵抗、吸收、缓冲与恢复能力等韧性指标。研究发现,网络韧性与其灾后恢复效率直接相关,冗余设计和关键节点保护对提升网络韧性至关重要。This paper studies the resilience of the emergency industry supply-demand network based on cascading failure, aiming to provide theoretical foundations and practical guidance for improving emergency response efficiency. The author constructs a cascading failure model for the emergency industry supply-demand network and simulates random attacks of varying intensities to analyze the impact of node failures on network stability. The resilience indicators, including resistance, absorption, buffering, and recovery capabilities, are quantified. The study finds that network resilience is directly related to post-disaster recovery efficiency, and that redundant design and protection of key nodes are critical to enhancing network resilience.

Authors

Publication Details

Journal
Modeling and Simulation
Published
2025-01-01
DOI
https://doi.org/10.12677/mos.2025.144297
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Resilience of Emergency Industry Supply-Demand Network Based on Cascading Failure

思颖 成
Modeling and Simulation
Supply Chain Resilience and Risk Management
article

Research on the Resilience of Emergency Industry Supply-Demand Network Based on Cascading Failure

思颖 成
article en

Abstract

这篇论文研究了基于级联失效的应急产业供需网韧性,旨在为提升应急响应效率提供理论依据和实践指导。作者构建了一个应急产业供需网的级联失效模型,并通过模拟不同强度的随机攻击,分析节点失效对网络稳定性的影响,量化了网络的抵抗、吸收、缓冲与恢复能力等韧性指标。研究发现,网络韧性与其灾后恢复效率直接相关,冗余设计和关键节点保护对提升网络韧性至关重要。This paper studies the resilience of the emergency industry supply-demand network based on cascading failure, aiming to provide theoretical foundations and practical guidance for improving emergency response efficiency. The author constructs a cascading failure model for the emergency industry supply-demand network and simulates random attacks of varying intensities to analyze the impact of node failures on network stability. The resilience indicators, including resistance, absorption, buffering, and recovery capabilities, are quantified. The study finds that network resilience is directly related to post-disaster recovery efficiency, and that redundant design and protection of key nodes are critical to enhancing network resilience.

Modeling and SimulationVol. 14(04)
Openalex Percentile: Top 89%
Supply Chain Resilience and Risk Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.