Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from China
Joint Authors
Teo, Kok Lay
Wen, Yi
Liu, Jian
Xu, Fei
Yan, Lizhao
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-14
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yan, Lizhao& Wen, Yi& Teo, Kok Lay& Liu, Jian& Xu, Fei. 2020. Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from China. Complexity،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1140861
Modern Language Association (MLA)
Yan, Lizhao…[et al.]. Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from China. Complexity No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1140861
American Medical Association (AMA)
Yan, Lizhao& Wen, Yi& Teo, Kok Lay& Liu, Jian& Xu, Fei. Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from China. Complexity. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1140861
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1140861