Regional Risk Assessment for Urban Major Hazards Using Hybrid Method of Information Diffusion Theory and Entropy
Urban regional risk is a complex nonlinear problem that encounters insufficient information, randomness, and uncertainty. To accurately assess the overall urban risk, a regional risk assessment model for urban public safety was proposed by using the information diffusion theory. The entropy theory w...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2023/8899371 |
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| _version_ | 1850159581239443456 |
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| author | Xinlong Zhou Xinhui Ning Longzhi Zheng Dongzhu Jiang Peipei Gao Dashun Fu |
| author_facet | Xinlong Zhou Xinhui Ning Longzhi Zheng Dongzhu Jiang Peipei Gao Dashun Fu |
| author_sort | Xinlong Zhou |
| collection | DOAJ |
| description | Urban regional risk is a complex nonlinear problem that encounters insufficient information, randomness, and uncertainty. To accurately assess the overall urban risk, a regional risk assessment model for urban public safety was proposed by using the information diffusion theory. The entropy theory was employed to optimize the information diffusion model to reduce the uncertainty. A framework of urban regional risk assessment model based on information diffusion and entropy was constructed. Finally, a case study of Hangzhou city in China was presented to demonstrate the performance of the proposed method. Results showed that the proposed method could successfully estimate the urban regional risk of Hangzhou city. The risk levels and probabilities of different hazard indicators were basically consistent with reality. The hazards with respect to industrial and mining accidents and road traffic accidents were extremely serious. More than 80 deaths from industrial and mining accidents would occur almost every 3 years, and more than 400 deaths of RTA would occur almost every 2.6 years. Moreover, centralized intervals of the risk level associated with five hazards were found, where urban risks were more likely to happen and had higher vulnerability. It could provide guidance for the government’s urban safety management and policy-making. |
| format | Article |
| id | doaj-art-b4802a1dc8d748ea8a6928568e555f0e |
| institution | OA Journals |
| issn | 1607-887X |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-b4802a1dc8d748ea8a6928568e555f0e2025-08-20T02:23:28ZengWileyDiscrete Dynamics in Nature and Society1607-887X2023-01-01202310.1155/2023/8899371Regional Risk Assessment for Urban Major Hazards Using Hybrid Method of Information Diffusion Theory and EntropyXinlong Zhou0Xinhui Ning1Longzhi Zheng2Dongzhu Jiang3Peipei Gao4Dashun Fu5School of Civil EngineeringSchool of Civil EngineeringHubei Anyuan Safety and Environmental Protection Technology Company LimitedSchool of Industrial DesignHubei Provincial Water Resources and Hydropower Planning Survey and Design InstituteSchool of Civil EngineeringUrban regional risk is a complex nonlinear problem that encounters insufficient information, randomness, and uncertainty. To accurately assess the overall urban risk, a regional risk assessment model for urban public safety was proposed by using the information diffusion theory. The entropy theory was employed to optimize the information diffusion model to reduce the uncertainty. A framework of urban regional risk assessment model based on information diffusion and entropy was constructed. Finally, a case study of Hangzhou city in China was presented to demonstrate the performance of the proposed method. Results showed that the proposed method could successfully estimate the urban regional risk of Hangzhou city. The risk levels and probabilities of different hazard indicators were basically consistent with reality. The hazards with respect to industrial and mining accidents and road traffic accidents were extremely serious. More than 80 deaths from industrial and mining accidents would occur almost every 3 years, and more than 400 deaths of RTA would occur almost every 2.6 years. Moreover, centralized intervals of the risk level associated with five hazards were found, where urban risks were more likely to happen and had higher vulnerability. It could provide guidance for the government’s urban safety management and policy-making.http://dx.doi.org/10.1155/2023/8899371 |
| spellingShingle | Xinlong Zhou Xinhui Ning Longzhi Zheng Dongzhu Jiang Peipei Gao Dashun Fu Regional Risk Assessment for Urban Major Hazards Using Hybrid Method of Information Diffusion Theory and Entropy Discrete Dynamics in Nature and Society |
| title | Regional Risk Assessment for Urban Major Hazards Using Hybrid Method of Information Diffusion Theory and Entropy |
| title_full | Regional Risk Assessment for Urban Major Hazards Using Hybrid Method of Information Diffusion Theory and Entropy |
| title_fullStr | Regional Risk Assessment for Urban Major Hazards Using Hybrid Method of Information Diffusion Theory and Entropy |
| title_full_unstemmed | Regional Risk Assessment for Urban Major Hazards Using Hybrid Method of Information Diffusion Theory and Entropy |
| title_short | Regional Risk Assessment for Urban Major Hazards Using Hybrid Method of Information Diffusion Theory and Entropy |
| title_sort | regional risk assessment for urban major hazards using hybrid method of information diffusion theory and entropy |
| url | http://dx.doi.org/10.1155/2023/8899371 |
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