Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from China,Complexity

当前位置： X-MOL 学术 › Complexity › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from China
Complexity ( IF 1.7 ) Pub Date : 2020-09-14 , DOI: 10.1155/2020/2109423
Lizhao Yan ₁ , Yi Wen ₁ , Kok Lay Teo _{2,

3} , Jian Liu ₄ , Fei Xu ₅

Affiliation

In this paper, we construct a regional logistics model from a macroperspective. First, based on the gravity model, the index of logistics attraction between cities is established as the weight of the model, and hence the regional logistics weighted model is constructed. Next, we use the social network analysis method to analyze its structure and make specific recommendations for the construction of logistics networks. Finally, we analyze the model’s response to random attacks and deliberate attacks. From our study, it is found that when the failure nodes or edges reach a certain percentage, the regional logistics network will collapse on a large scale. Therefore, it is important to optimization the threshold of the regional logistics network. This clearly provides a new perspective for the study of the regional logistics networks.

更新日期：2020-09-14

点击分享查看原文

点击收藏

公开下载

阅读更多本刊最新论文本刊介绍/投稿指南11