ArticleRisk management and healthcare policy2021
Optimization for Locating Emergency Medical Service Facilities: A Case Study for Health Planning from China.
Article in Risk management and healthcare policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- A Novel Binary Hunger Games Search Algorithm with Data-Driven Repair for the Set Covering Problem.Biomimetics (Basel, Switzerland) · 2026Article
- Evidence-Based Planning of High-Complexity Healthcare Networks at National Level: Integrating Mortality Records, Accessibility Metrics, and Facility Location Optimization Models.Health care analysis : HCA : journal of health philosophy and policy · 2026Article
- Use of artificial intelligence in the out-of-hospital care settings: a scoping review.BMJ digital health & AI · 2026Article
- A New Data Driven Approach for Identifying Underserved Areas of Hospitals Accepting Medicare.... Intermountain Engineering, Technology and Computing. Intermountain Engineering, Technology and Computing Conference · 2025Article
- Spatiotemporal disparities in maternal mortality and the role of multiscale administrative levels: a 20-year study across Chinese counties.Frontiers in public health · 2025Article
- Co-evolution of private and public hospitals: spatiotemporal disparities, geospatial interactions, and social determinants over 19 years in Sichuan, China.Frontiers in public health · 2025Article
- Joint spatiotemporal evaluation of multiple healthcare resources: hospitals, hospital beds and physicians across 365 Chinese cities over 22 years.Frontiers in public health · 2025Article
- A study on the siting of emergency medical facilities under uncertain demand-A case study of Wuhan country parks.Frontiers in public health · 2025Article
- Spatial Access to Continuous Maternal and Perinatal Health Care Services in Low-Resource Settings: Cross-Sectional Study.JMIR public health and surveillance · 2024Article
- Revealing spatiotemporal inequalities, hotspots, and determinants in healthcare resource distribution: insights from hospital beds panel data in 2308 Chinese counties.BMC public health · 2024Article
- The Impact of Pandemic-Driven Care Redesign on Hospital Efficiency.Risk management and healthcare policy · 2024Review
- Dynamic ambulance relocation: a scoping review.BMJ open · 2023Article
- Spatial accessibility of emergency medical services in Chongqing, Southwest China.Frontiers in public health · 2022Article
- A Survey of Location-Allocation of Points of Dispensing During Public Health Emergencies.Frontiers in public health · 2022Review
- Optimization of Site Selection for Emergency Medical Facilities considering the SEIR Model.Computational intelligence and neuroscience · 2022Article
- Spatial Accessibility Assessment of Prehospital EMS with a Focus on the Elderly Population: A Case Study in Ningbo, China.International journal of environmental research and public health · 2021Article
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
purposeRational location of emergency medical service (EMS) facilities could improve access to EMS, and thus assist in saving patients' lives and improving their health outcomes. A considerable amount of spatial optimization research has been devoted to the development of models to support location planning in the context of EMS, with extensive applications in policy making around the world. However, in China, studies on the location of EMS facilities have not been paid enough attention to, let alone their practical applications. This paper conducted location optimization for EMS facilities in Chengdu, one of the biggest cities in southwest China with more than 16.5 million population, aiming to optimize the EMS system by adding (upgrading) a minimum number of EMS facilities to achieve a given population coverage.
methodsLocation optimization was conducted according to regional health policy goal for the EMS system in Chengdu, China, 2017. The nearest-neighbor approach was used to calculate the shortest travel time based on geographical information system (GIS). The location set covering model was used to formulate the optimization problem under China's context, and genetic algorithm (GA) was employed to determine the optimized locations.
resultsThe results showed that a minimum number of 55 new facilities were required to upgrade to EMS facilities to achieve the policy goal of 90% population coverage of EMS within 15 minutes. Access to EMS also improved substantially in terms of shortest travel time after facility upgrading. The weighted median shortest travel time to EMS facilities in Chengdu decreased by 14.57%, from 6.45 minutes to 5.51 minutes.
conclusionOur study showed that the solution could effectively achieve the policy goal of population coverage with a minimum number of new EMS facilities. Our findings would support evidence-based decision-making in future EMS planning in China.
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