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

Complexity

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

Philosophy

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