Optimization of a two-stage emergency logistics system considering public psychological risk perception under earthquake disaster
Abstract To enhance the level of emergency supplies deployment during earthquake disaster, this study focuses on emergency logistics in China. An integrated two-stage optimization framework is adopted to incorporate demand and time satisfaction indicators into the supply allocation and route optimiz...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-83670-3 |
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| author | Huawei Yang Pan Zhang Peiwen Zhang Chenxing Zhang Xuxian Yan |
| author_facet | Huawei Yang Pan Zhang Peiwen Zhang Chenxing Zhang Xuxian Yan |
| author_sort | Huawei Yang |
| collection | DOAJ |
| description | Abstract To enhance the level of emergency supplies deployment during earthquake disaster, this study focuses on emergency logistics in China. An integrated two-stage optimization framework is adopted to incorporate demand and time satisfaction indicators into the supply allocation and route optimization models, respectively. Firstly, historical data and seismic monitoring information are used to estimate the number of people affected and to forecast the need for emergency supplies; Secondly, the concept of psychological risk perception and the degree of urgency of requirements are introduced. Based on the modified prospect theory framework, this article replaces the sufficiency and shortage of demand with gains and losses to optimize the resource allocation policy. Thirdly, Particle Swarm Optimization (PSO) is used to improve the Sparrow Search Algorithm (SSA) for further model solving. The results of the study show that the two-stage optimization framework can significantly improve the rescue efficiency and rationality of resource allocation, and achieve the goal of prioritising the distribution of emergency supplies to regions with high urgency; In addition, the results of the sensitivity analysis indicate that it is crucial to determine the optimal proportion of the total amount of supplies, and the validation shows that the overall operational efficiency of PSO- SSA is higher, which provides a more reliable approach to dealing with similar emergency problems. |
| format | Article |
| id | doaj-art-5f46150ba98d4526bfa3514576fbb149 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-5f46150ba98d4526bfa3514576fbb1492025-01-05T12:25:15ZengNature PortfolioScientific Reports2045-23222024-12-0114111810.1038/s41598-024-83670-3Optimization of a two-stage emergency logistics system considering public psychological risk perception under earthquake disasterHuawei Yang0Pan Zhang1Peiwen Zhang2Chenxing Zhang3Xuxian Yan4School of Management Science and Engineering, Shanxi University of Finance and EconomicsSchool of Management Science and Engineering, Shanxi University of Finance and EconomicsSchool of Management Science and Engineering, Shanxi University of Finance and EconomicsSchool of Management Science and Engineering, Shanxi University of Finance and EconomicsSchool of Management Science and Engineering, Shanxi University of Finance and EconomicsAbstract To enhance the level of emergency supplies deployment during earthquake disaster, this study focuses on emergency logistics in China. An integrated two-stage optimization framework is adopted to incorporate demand and time satisfaction indicators into the supply allocation and route optimization models, respectively. Firstly, historical data and seismic monitoring information are used to estimate the number of people affected and to forecast the need for emergency supplies; Secondly, the concept of psychological risk perception and the degree of urgency of requirements are introduced. Based on the modified prospect theory framework, this article replaces the sufficiency and shortage of demand with gains and losses to optimize the resource allocation policy. Thirdly, Particle Swarm Optimization (PSO) is used to improve the Sparrow Search Algorithm (SSA) for further model solving. The results of the study show that the two-stage optimization framework can significantly improve the rescue efficiency and rationality of resource allocation, and achieve the goal of prioritising the distribution of emergency supplies to regions with high urgency; In addition, the results of the sensitivity analysis indicate that it is crucial to determine the optimal proportion of the total amount of supplies, and the validation shows that the overall operational efficiency of PSO- SSA is higher, which provides a more reliable approach to dealing with similar emergency problems.https://doi.org/10.1038/s41598-024-83670-3Emergency managementSatisfactionProspect theoryTwo stagesPSO-SSA |
| spellingShingle | Huawei Yang Pan Zhang Peiwen Zhang Chenxing Zhang Xuxian Yan Optimization of a two-stage emergency logistics system considering public psychological risk perception under earthquake disaster Scientific Reports Emergency management Satisfaction Prospect theory Two stages PSO-SSA |
| title | Optimization of a two-stage emergency logistics system considering public psychological risk perception under earthquake disaster |
| title_full | Optimization of a two-stage emergency logistics system considering public psychological risk perception under earthquake disaster |
| title_fullStr | Optimization of a two-stage emergency logistics system considering public psychological risk perception under earthquake disaster |
| title_full_unstemmed | Optimization of a two-stage emergency logistics system considering public psychological risk perception under earthquake disaster |
| title_short | Optimization of a two-stage emergency logistics system considering public psychological risk perception under earthquake disaster |
| title_sort | optimization of a two stage emergency logistics system considering public psychological risk perception under earthquake disaster |
| topic | Emergency management Satisfaction Prospect theory Two stages PSO-SSA |
| url | https://doi.org/10.1038/s41598-024-83670-3 |
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