Network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demands
Confronting the escalating challenge of emergencies, the urban supply network of daily necessity is an important defense line for human well-being. This study introduces a groundbreaking approach that leverages mobile signaling data, departing from static regional data, to model large-scale and high...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-11-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843224005818 |
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| author | Hao Huang Wenchu Zhang Zipei Zhen Haochen Shi Miaoxi Zhao |
| author_facet | Hao Huang Wenchu Zhang Zipei Zhen Haochen Shi Miaoxi Zhao |
| author_sort | Hao Huang |
| collection | DOAJ |
| description | Confronting the escalating challenge of emergencies, the urban supply network of daily necessity is an important defense line for human well-being. This study introduces a groundbreaking approach that leverages mobile signaling data, departing from static regional data, to model large-scale and high-precision urban supply-demand network. Moreover, a significant stride in assessing network invulnerability is presented by incorporating cascading failure and emphasizing demand-side factors in attack strategy simulations. This approach marks a paradigm shift in network invulnerability simulation: moving from network topology characteristics to a human-centric approach, which helps better identify vulnerable zones. The model’s robustness is corroborated through simulations of major disaster scenarios. The results indicate that: 1) High-precision human mobility data promises large-scale urban supply-demand network modeling with high accuracy. 2) In regions characterized by greater vulnerability, the establishment of local supply networks demonstrates efficacy in mitigating the impacts of minor disasters. 3) During various stages of cascading failure, the leading factors contributing to community supply shortages vary, with population density being the predominant factor. This research propels the methodology forward, incorporating multi-scenario simulations to augment practicality, and offers valuable insights for urban supply system enhancement. |
| format | Article |
| id | doaj-art-b55b9bd9a25e43b698d51dc45b82daa7 |
| institution | Kabale University |
| issn | 1569-8432 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj-art-b55b9bd9a25e43b698d51dc45b82daa72024-11-16T05:10:18ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322024-11-01134104225Network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demandsHao Huang0Wenchu Zhang1Zipei Zhen2Haochen Shi3Miaoxi Zhao4Department of Urban Planning, School of Architecture, Tsinghua University, Beijing 100084, ChinaGraduate School of Design, Harvard University, Cambridge, MA 02138, United StatesSchool of Architecture, Southeast University, Nanjing 210096, Jiangsu, ChinaCollege of Architecture and Urban Planning, Guangzhou University, Guangzhou 510006, China; Corresponding author.State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou 510640, China; School of Architecture, South China University of Technology, Guangzhou 510640, ChinaConfronting the escalating challenge of emergencies, the urban supply network of daily necessity is an important defense line for human well-being. This study introduces a groundbreaking approach that leverages mobile signaling data, departing from static regional data, to model large-scale and high-precision urban supply-demand network. Moreover, a significant stride in assessing network invulnerability is presented by incorporating cascading failure and emphasizing demand-side factors in attack strategy simulations. This approach marks a paradigm shift in network invulnerability simulation: moving from network topology characteristics to a human-centric approach, which helps better identify vulnerable zones. The model’s robustness is corroborated through simulations of major disaster scenarios. The results indicate that: 1) High-precision human mobility data promises large-scale urban supply-demand network modeling with high accuracy. 2) In regions characterized by greater vulnerability, the establishment of local supply networks demonstrates efficacy in mitigating the impacts of minor disasters. 3) During various stages of cascading failure, the leading factors contributing to community supply shortages vary, with population density being the predominant factor. This research propels the methodology forward, incorporating multi-scenario simulations to augment practicality, and offers valuable insights for urban supply system enhancement.http://www.sciencedirect.com/science/article/pii/S1569843224005818Network invulnerabilityCascading failureSupply-demand networkHuman mobilityScenario analysis |
| spellingShingle | Hao Huang Wenchu Zhang Zipei Zhen Haochen Shi Miaoxi Zhao Network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demands International Journal of Applied Earth Observations and Geoinformation Network invulnerability Cascading failure Supply-demand network Human mobility Scenario analysis |
| title | Network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demands |
| title_full | Network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demands |
| title_fullStr | Network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demands |
| title_full_unstemmed | Network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demands |
| title_short | Network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demands |
| title_sort | network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demands |
| topic | Network invulnerability Cascading failure Supply-demand network Human mobility Scenario analysis |
| url | http://www.sciencedirect.com/science/article/pii/S1569843224005818 |
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