Analysis of network disruption evolution of Chinese fresh cold chain under COVID-19

Author:

Chen HuanwanORCID,Chen Guopeng,Zhang Qingnian,Zhang Xiuxia

Abstract

The spread of the global COVID-19 epidemic, home quarantine, and blockade of infected areas are essential measures to prevent the spread of the epidemic, but efforts to prevent and control the outbreak lead to the disruption of fresh and cold chain agricultural products in the region. Based on the multi-layer management model of non-scale agricultural households in China, we applied the complex network theory to construct an evolutionary model of the Chinese fresh cold chain network with adaptation degree priority connection, dual local world considering transport distance connection relationship, and superiority and inferiority mechanism. Based on this model, we studied the evolution of fresh cold chain disruption, and puts forward the optimal design of fresh cold chain network disruption and reconnection from the perspective of practicality and economy.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference19 articles.

1. Survivability of multiagent—based supply networks: A topological perspective;P Thadakamalla H;EEE Intelligent Systems,2004

2. On the topological properties of urban complex supply chain network of agricultural products in mainland China;Gang Z.;Transportation Letters The International Journal of Transportation Research,2015

3. Yang Li and Zi-ping Du. Agri-Food Suppy Chain Network Robustness Research Based on Complex Network. Proceedings of the 6thInternational Asia Conference on Industrial Engineering and Management Innovation (Chapter 92), pp.929-938, 2016.

4. Emergence of scaling in random networks;L Barabasi A;Science,1999

5. A statistical construction of power-law networks;S Ghadge;International Journal of Parallel, Emergent and Distributed Systems,2010

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3