{"title":"Realistic strategies for dynamic ambulance relocation","authors":"Yulia Karpova, Fulgencia Villa, Eva Vallada","doi":"10.1016/j.seps.2025.102279","DOIUrl":null,"url":null,"abstract":"<div><div>The location of vehicles is a decision of significant importance for Emergency Medical Services. However, the delivery of emergency care is dynamic in nature and the initial locations of ambulances may quickly prove inadequate for maintaining coverage as they are dispatched to attend to patients. Rather than increasing the size of the fleet of vehicles, research has focused on the dynamic relocation of ambulances. This approach allows available vehicles to move to sites beyond their usual bases, maintaining an appropriate level of service. The scientific community has proposed a wide variety of ambulance relocation strategies using different methodological approaches. However, most of the strategies have not been implemented by real life Emergency Medical Services. This study proposes a scenario-based dynamic relocation algorithm that incorporates the following realistic aspects: it allows ambulances to start and end their work shift at their usual base, regardless of the number of relocations performed; a methodology based on Geographic Information Systems is developed to determine the positions of ambulances en route in order to be able to assign these ambulances to emergencies. In addition, the importance of relocating ambulances at different times of the day is studied. The proposed algorithm is validated by applying it to a real life case, in the city of Valencia, Spain, where the importance of considering these realistic aspects is shown.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102279"},"PeriodicalIF":5.4000,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012125001284","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
The location of vehicles is a decision of significant importance for Emergency Medical Services. However, the delivery of emergency care is dynamic in nature and the initial locations of ambulances may quickly prove inadequate for maintaining coverage as they are dispatched to attend to patients. Rather than increasing the size of the fleet of vehicles, research has focused on the dynamic relocation of ambulances. This approach allows available vehicles to move to sites beyond their usual bases, maintaining an appropriate level of service. The scientific community has proposed a wide variety of ambulance relocation strategies using different methodological approaches. However, most of the strategies have not been implemented by real life Emergency Medical Services. This study proposes a scenario-based dynamic relocation algorithm that incorporates the following realistic aspects: it allows ambulances to start and end their work shift at their usual base, regardless of the number of relocations performed; a methodology based on Geographic Information Systems is developed to determine the positions of ambulances en route in order to be able to assign these ambulances to emergencies. In addition, the importance of relocating ambulances at different times of the day is studied. The proposed algorithm is validated by applying it to a real life case, in the city of Valencia, Spain, where the importance of considering these realistic aspects is shown.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.