Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from China
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 netwo...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/2109423 |
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| _version_ | 1832560026063994880 |
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| author | Lizhao Yan Yi Wen Kok Lay Teo Jian Liu Fei Xu |
| author_facet | Lizhao Yan Yi Wen Kok Lay Teo Jian Liu Fei Xu |
| author_sort | Lizhao Yan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3919b8e060064de1a0e6701d7a27dd6c |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-3919b8e060064de1a0e6701d7a27dd6c2025-02-03T01:28:34ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/21094232109423Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from ChinaLizhao Yan0Yi Wen1Kok Lay Teo2Jian Liu3Fei Xu4College of Business, Hunan Normal University, Changsha, Hunan 410081, ChinaCollege of Business, Hunan Normal University, Changsha, Hunan 410081, ChinaSchool of Mathematical Sciences, Sunway University, Subang Jaya, Selangor 47500, MalaysiaSchool of Economics and Management, Changsha University of Science and Technology, Changsha, Hunan 410004, ChinaDepartment of Mathematics, Wilfrid Laurier University, Ontario N2L 3C5, CanadaIn 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.http://dx.doi.org/10.1155/2020/2109423 |
| spellingShingle | Lizhao Yan Yi Wen Kok Lay Teo Jian Liu Fei Xu Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from China Complexity |
| title | Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from China |
| title_full | Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from China |
| title_fullStr | Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from China |
| title_full_unstemmed | Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from China |
| title_short | Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from China |
| title_sort | construction of regional logistics weighted network model and its robust optimization evidence from china |
| url | http://dx.doi.org/10.1155/2020/2109423 |
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