Articles | Volume 20, issue 1
https://doi.org/10.5194/nhess-20-181-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-181-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Jan 2020
Research article |
| 17 Jan 2020
| 17 Jan 2020
Multi-coverage optimal location model for emergency medical service (EMS) facilities under various disaster scenarios: a case study of urban fluvial floods in the Minhang district of Shanghai, China
Yuhan Yang
Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, China
School of Geographic Sciences, East China Normal University, Shanghai, China
Jie Yin
CORRESPONDING AUTHOR
Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, China
Hubei Provincial Key Laboratory of Water System Science for Sponge City Construction, Wuhan University, Wuhan, China
School of Geographic Sciences, East China Normal University, Shanghai, China
Institute of Eco-Chongming, East China Normal University, Shanghai, China
Mingwu Ye
Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, China
School of Geographic Sciences, East China Normal University, Shanghai, China
Dunxian She
Hubei Provincial Key Laboratory of Water System Science for Sponge City Construction, Wuhan University, Wuhan, China
Jia Yu
School of Environmental and Geographical Sciences, Shanghai Normal
University, Shanghai, China
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Cited
18 citations as recorded by crossref.
- Exploring the fidelity of satellite precipitation products in capturing flood risks: A novel framework incorporating hazard and vulnerability dimensions over a sensitive coastal multi-hazard catchment D. Thakur & M. Mohanty 10.1016/j.scitotenv.2024.170884
- Spatial Accessibility Assessment of Emergency Response of Urban Public Services in the Context of Pluvial Flooding Scenarios: The Case of Jiaozuo Urban Area, China Y. Zhang et al. 10.3390/su142416332
- Measuring emergency medical service (EMS) accessibility with the effect of city dynamics in a 100-year pluvial flood scenario M. Li et al. 10.1016/j.cities.2021.103314
- Improving emergency services efficiency during Islamic pilgrimage through optimal allocation of facilities A. Morgan & K. Khayyat 10.1111/itor.13026
- Spatial accessibility of emergency medical services under inclement weather: a case study in Beijing, China Y. Zhang et al. 10.5194/nhess-24-63-2024
- Modeling of a compound flood induced by the levee breach at Qianbujing Creek, Shanghai, during Typhoon Fitow Y. Yang et al. 10.5194/nhess-21-3563-2021
- Deficiency of Healthcare Accessibility of Elderly People Exposed to Future Extreme Coastal Floods: A Case Study of Shanghai, China X. Shan et al. 10.1007/s13753-023-00513-x
- Improving urban emergency medical service systems through brownfield transformation in Huangshi, China Z. Liu et al. 10.1038/s41598-024-66080-3
- Location optimization of emergency medical facilities for public health emergencies in megacities based on genetic algorithm J. Liu et al. 10.1108/ECAM-07-2021-0637
- Comprehensive Risk Analysis of Emergency Medical Response Systems in Serbian Healthcare: Assessing Systemic Vulnerabilities in Disaster Preparedness and Response V. Cvetković et al. 10.3390/healthcare12191962
- Localización de instalaciones en logística humanitaria: una revisión de la literatura y consideraciones para futuras investigaciones M. Daza-Moscoso et al. 10.15446/dyna.v91n232.111818
- The Importance of Digital Elevation Model Selection in Flood Simulation and a Proposed Method to Reduce DEM Errors: A Case Study in Shanghai K. Xu et al. 10.1007/s13753-021-00377-z
- An attention model with multiple decoders for solving p-Center problems X. Chen et al. 10.1016/j.jag.2023.103526
- Optimization of Site Selection for Emergency Medical Facilities considering the SEIR Model J. Liu et al. 10.1155/2022/1912272
- Afet Olgusunun Zamansal ve Mekansal Boyutunun Kent Planlama Ekseninde Değerlendirilmesi: Torbalı İlçesi K. Alğın Demir & N. Karataş 10.46464/tdad.1405733
- Strategy for optimizing outpatient access for chronic patients in a health insurance company C. Lopes et al. 10.1080/20479700.2024.2400438
- Navigating urban challenges: Quantifying emergency service accessibility and robustness amid meteorological disasters M. Zheng et al. 10.1016/j.ijdrr.2024.104655
- Deprem sonrası sağlık kaynakları planlamasına yönelik matematiksel model önerisi: Kırıkkale kent örneği S. ÇİFTÇİ & Ü. SAKALLI 10.17341/gazimmfd.1092469
17 citations as recorded by crossref.
- Exploring the fidelity of satellite precipitation products in capturing flood risks: A novel framework incorporating hazard and vulnerability dimensions over a sensitive coastal multi-hazard catchment D. Thakur & M. Mohanty 10.1016/j.scitotenv.2024.170884
- Spatial Accessibility Assessment of Emergency Response of Urban Public Services in the Context of Pluvial Flooding Scenarios: The Case of Jiaozuo Urban Area, China Y. Zhang et al. 10.3390/su142416332
- Measuring emergency medical service (EMS) accessibility with the effect of city dynamics in a 100-year pluvial flood scenario M. Li et al. 10.1016/j.cities.2021.103314
- Improving emergency services efficiency during Islamic pilgrimage through optimal allocation of facilities A. Morgan & K. Khayyat 10.1111/itor.13026
- Spatial accessibility of emergency medical services under inclement weather: a case study in Beijing, China Y. Zhang et al. 10.5194/nhess-24-63-2024
- Modeling of a compound flood induced by the levee breach at Qianbujing Creek, Shanghai, during Typhoon Fitow Y. Yang et al. 10.5194/nhess-21-3563-2021
- Deficiency of Healthcare Accessibility of Elderly People Exposed to Future Extreme Coastal Floods: A Case Study of Shanghai, China X. Shan et al. 10.1007/s13753-023-00513-x
- Improving urban emergency medical service systems through brownfield transformation in Huangshi, China Z. Liu et al. 10.1038/s41598-024-66080-3
- Location optimization of emergency medical facilities for public health emergencies in megacities based on genetic algorithm J. Liu et al. 10.1108/ECAM-07-2021-0637
- Comprehensive Risk Analysis of Emergency Medical Response Systems in Serbian Healthcare: Assessing Systemic Vulnerabilities in Disaster Preparedness and Response V. Cvetković et al. 10.3390/healthcare12191962
- Localización de instalaciones en logística humanitaria: una revisión de la literatura y consideraciones para futuras investigaciones M. Daza-Moscoso et al. 10.15446/dyna.v91n232.111818
- The Importance of Digital Elevation Model Selection in Flood Simulation and a Proposed Method to Reduce DEM Errors: A Case Study in Shanghai K. Xu et al. 10.1007/s13753-021-00377-z
- An attention model with multiple decoders for solving p-Center problems X. Chen et al. 10.1016/j.jag.2023.103526
- Optimization of Site Selection for Emergency Medical Facilities considering the SEIR Model J. Liu et al. 10.1155/2022/1912272
- Afet Olgusunun Zamansal ve Mekansal Boyutunun Kent Planlama Ekseninde Değerlendirilmesi: Torbalı İlçesi K. Alğın Demir & N. Karataş 10.46464/tdad.1405733
- Strategy for optimizing outpatient access for chronic patients in a health insurance company C. Lopes et al. 10.1080/20479700.2024.2400438
- Navigating urban challenges: Quantifying emergency service accessibility and robustness amid meteorological disasters M. Zheng et al. 10.1016/j.ijdrr.2024.104655
Latest update: 14 Dec 2024
Short summary
Emergency medical service (EMS) response is important for pre-hospital lifesaving, but disasters increase the difficulty of rescue, which increases the pressure on EMS facilities. In order to avoid the failure of EMS facilities during disasters, we propose a multi-coverage optimal location model for EMS facilities based on results of disaster risk assessment. Results showed that the optimized EMS locations reduced the delay in response and significantly increased the number of rescued people.
Emergency medical service (EMS) response is important for pre-hospital lifesaving, but disasters...
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