Evaluation and Optimization Research on the Spatial Distribution of Automated External Defibrillators Based on a Genetic Algorithm: A Case Study of Central Urban District of Nanjing, China
Automated external defibrillators (AEDs) are portable emergency medical devices critical for resuscitating individuals experiencing sudden cardiac arrest. The installation of AEDs in public spaces is essential for enhancing society’s emergency response capabilities. However, many cities in China cur...
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2025-01-01
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| author | Ge Shi Jiahang Liu Chuang Chen Jingran Zhang Jinghai Xu Yu Chen Jiaming Na Wei Chen |
| author_facet | Ge Shi Jiahang Liu Chuang Chen Jingran Zhang Jinghai Xu Yu Chen Jiaming Na Wei Chen |
| author_sort | Ge Shi |
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| description | Automated external defibrillators (AEDs) are portable emergency medical devices critical for resuscitating individuals experiencing sudden cardiac arrest. The installation of AEDs in public spaces is essential for enhancing society’s emergency response capabilities. However, many cities in China currently face issues such as inadequate AEDs deployment and uneven distribution. This study aims to explore a rational layout plan for AEDs through systematic site optimization. Initially, this paper evaluates the current spatial configuration of AEDs in the central urban district of Nanjing using various spatial analysis methods. Subsequently, a coverage model is constructed to simulate the coverage capacity of potential emergency needs for new facilities, and a genetic algorithm is utilized to solve it. Finally, an AED site selection experiment is conducted, and the site selection results are discussed and analyzed in conjunction with practical conditions. The research conclusions are as follows: (1) AED distribution in Nanjing’s central urban district is clustered, with some areas lacking facilities, and the coverage rate of AEDs within 100 m and 200 m ranges is relatively low, particularly across different types of venues; and (2) the optimization experiment, with 90 new site selection points, effectively addressed AED distribution gaps, significantly improved coverage, and ameliorated the overall distribution across various public venues. This study provides a scientific basis for the rational placement of AEDs in urban public spaces through systematic analysis and optimization experiments. It enhances the efficiency of current AED deployment in the main urban areas of Nanjing and offers significant insights for the optimization of urban emergency resource allocation. |
| format | Article |
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| institution | Kabale University |
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| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-803d1b8766ab42a2b675ca8bbcaeff9b2025-01-24T13:50:40ZengMDPI AGSystems2079-89542025-01-011316410.3390/systems13010064Evaluation and Optimization Research on the Spatial Distribution of Automated External Defibrillators Based on a Genetic Algorithm: A Case Study of Central Urban District of Nanjing, ChinaGe Shi0Jiahang Liu1Chuang Chen2Jingran Zhang3Jinghai Xu4Yu Chen5Jiaming Na6Wei Chen7Institute for Emergency Governance and Policy, Nanjing Tech University, Nanjing 211816, ChinaInstitute for Emergency Governance and Policy, Nanjing Tech University, Nanjing 211816, ChinaInstitute for Emergency Governance and Policy, Nanjing Tech University, Nanjing 211816, ChinaInstitute for Emergency Governance and Policy, Nanjing Tech University, Nanjing 211816, ChinaInstitute for Emergency Governance and Policy, Nanjing Tech University, Nanjing 211816, ChinaInstitute for Emergency Governance and Policy, Nanjing Tech University, Nanjing 211816, ChinaCollege of Civil Engineering, Nanjing Forestry University, Nanjing 210037, ChinaInstitute for Emergency Governance and Policy, Nanjing Tech University, Nanjing 211816, ChinaAutomated external defibrillators (AEDs) are portable emergency medical devices critical for resuscitating individuals experiencing sudden cardiac arrest. The installation of AEDs in public spaces is essential for enhancing society’s emergency response capabilities. However, many cities in China currently face issues such as inadequate AEDs deployment and uneven distribution. This study aims to explore a rational layout plan for AEDs through systematic site optimization. Initially, this paper evaluates the current spatial configuration of AEDs in the central urban district of Nanjing using various spatial analysis methods. Subsequently, a coverage model is constructed to simulate the coverage capacity of potential emergency needs for new facilities, and a genetic algorithm is utilized to solve it. Finally, an AED site selection experiment is conducted, and the site selection results are discussed and analyzed in conjunction with practical conditions. The research conclusions are as follows: (1) AED distribution in Nanjing’s central urban district is clustered, with some areas lacking facilities, and the coverage rate of AEDs within 100 m and 200 m ranges is relatively low, particularly across different types of venues; and (2) the optimization experiment, with 90 new site selection points, effectively addressed AED distribution gaps, significantly improved coverage, and ameliorated the overall distribution across various public venues. This study provides a scientific basis for the rational placement of AEDs in urban public spaces through systematic analysis and optimization experiments. It enhances the efficiency of current AED deployment in the main urban areas of Nanjing and offers significant insights for the optimization of urban emergency resource allocation.https://www.mdpi.com/2079-8954/13/1/64automated external defibrillatorspatial distributiongenetic algorithmresource optimizationpublic healthhealth system |
| spellingShingle | Ge Shi Jiahang Liu Chuang Chen Jingran Zhang Jinghai Xu Yu Chen Jiaming Na Wei Chen Evaluation and Optimization Research on the Spatial Distribution of Automated External Defibrillators Based on a Genetic Algorithm: A Case Study of Central Urban District of Nanjing, China Systems automated external defibrillator spatial distribution genetic algorithm resource optimization public health health system |
| title | Evaluation and Optimization Research on the Spatial Distribution of Automated External Defibrillators Based on a Genetic Algorithm: A Case Study of Central Urban District of Nanjing, China |
| title_full | Evaluation and Optimization Research on the Spatial Distribution of Automated External Defibrillators Based on a Genetic Algorithm: A Case Study of Central Urban District of Nanjing, China |
| title_fullStr | Evaluation and Optimization Research on the Spatial Distribution of Automated External Defibrillators Based on a Genetic Algorithm: A Case Study of Central Urban District of Nanjing, China |
| title_full_unstemmed | Evaluation and Optimization Research on the Spatial Distribution of Automated External Defibrillators Based on a Genetic Algorithm: A Case Study of Central Urban District of Nanjing, China |
| title_short | Evaluation and Optimization Research on the Spatial Distribution of Automated External Defibrillators Based on a Genetic Algorithm: A Case Study of Central Urban District of Nanjing, China |
| title_sort | evaluation and optimization research on the spatial distribution of automated external defibrillators based on a genetic algorithm a case study of central urban district of nanjing china |
| topic | automated external defibrillator spatial distribution genetic algorithm resource optimization public health health system |
| url | https://www.mdpi.com/2079-8954/13/1/64 |
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