MULTI-OBJECTIVE OPTIMIZATION OF AMBULANCE LOCATION IN ANTOFAGASTA, CHILE

IF 1.3 4区 工程技术 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY Transport Pub Date : 2022-08-19 DOI:10.3846/transport.2022.17073
Carlos Olivos, Hernan Caceres
{"title":"MULTI-OBJECTIVE OPTIMIZATION OF AMBULANCE LOCATION IN ANTOFAGASTA, CHILE","authors":"Carlos Olivos, Hernan Caceres","doi":"10.3846/transport.2022.17073","DOIUrl":null,"url":null,"abstract":"In this paper, we solved an ambulance location problem with a multi-objective framework considering the case of the study of Emergency Medical Service (EMS) of Antofagasta (Chile). Nowadays, in Antofagasta, the ambulances are located in bases that are not necessarily the optimal location achieving an estimated 67% of coverage under the 8 min not meeting the requirements dictated by the Chilean Ministry of Health. We used a multi-objective model considering mean response time, maximum response time, and the demand not covered. The model is solved using an iterative ε-constraint method to generate a Pareto set of efficient solutions. We considered historical data from the years 2015 and 2016 to generate the demand and emergency nodes with a clustering algorithm. The results show improvements on all criteria of the multi-objective model, where we highlight a potential increment on coverage within 8 min from 67 to 99%. In order to test the new policy in a real setting, a pilot plan is proposed, which reaches 89% of coverage within 8 min.","PeriodicalId":23260,"journal":{"name":"Transport","volume":"73 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3846/transport.2022.17073","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 1

Abstract

In this paper, we solved an ambulance location problem with a multi-objective framework considering the case of the study of Emergency Medical Service (EMS) of Antofagasta (Chile). Nowadays, in Antofagasta, the ambulances are located in bases that are not necessarily the optimal location achieving an estimated 67% of coverage under the 8 min not meeting the requirements dictated by the Chilean Ministry of Health. We used a multi-objective model considering mean response time, maximum response time, and the demand not covered. The model is solved using an iterative ε-constraint method to generate a Pareto set of efficient solutions. We considered historical data from the years 2015 and 2016 to generate the demand and emergency nodes with a clustering algorithm. The results show improvements on all criteria of the multi-objective model, where we highlight a potential increment on coverage within 8 min from 67 to 99%. In order to test the new policy in a real setting, a pilot plan is proposed, which reaches 89% of coverage within 8 min.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
智利安托法加斯塔救护车位置的多目标优化
本文以智利安托法加斯塔(Antofagasta)的紧急医疗服务(EMS)为例,采用多目标框架求解救护车定位问题。如今,在安托法加斯塔,救护车位于不一定是最佳位置的基地,在8分钟内的覆盖率估计为67%,未达到智利卫生部规定的要求。我们使用了一个考虑平均响应时间、最大响应时间和未覆盖需求的多目标模型。采用迭代ε-约束方法求解该模型,得到有效解的Pareto集。我们考虑2015年和2016年的历史数据,使用聚类算法生成需求节点和应急节点。结果显示了对多目标模型的所有标准的改进,其中我们强调了8分钟内覆盖率从67到99%的潜在增量。为了在实际环境中测试新政策,提出了一个试点计划,在8分钟内达到89%的覆盖率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Transport
Transport Engineering-Mechanical Engineering
CiteScore
3.40
自引率
5.90%
发文量
19
审稿时长
4 months
期刊介绍: At present, transport is one of the key branches playing a crucial role in the development of economy. Reliable and properly organized transport services are required for a professional performance of industry, construction and agriculture. The public mood and efficiency of work also largely depend on the valuable functions of a carefully chosen transport system. A steady increase in transportation is accompanied by growing demands for a higher quality of transport services and optimum efficiency of transport performance. Currently, joint efforts taken by the transport experts and governing institutions of the country are required to develop and enhance the performance of the national transport system conducting theoretical and empirical research. TRANSPORT is an international peer-reviewed journal covering main aspects of transport and providing a source of information for the engineer and the applied scientist. The journal TRANSPORT publishes articles in the fields of: transport policy; fundamentals of the transport system; technology for carrying passengers and freight using road, railway, inland waterways, sea and air transport; technology for multimodal transportation and logistics; loading technology; roads, railways; airports, ports, transport terminals; traffic safety and environment protection; design, manufacture and exploitation of motor vehicles; pipeline transport; transport energetics; fuels, lubricants and maintenance materials; teamwork of customs and transport; transport information technologies; transport economics and management; transport standards; transport educology and history, etc.
期刊最新文献
A NEW METHODOLOGY FOR TREATING PROBLEMS IN THE FIELD OF TRAFFIC SAFETY: CASE STUDY OF LIBYAN CITIES APPLYING REGULAR RELIEF ONTO CONICAL SURFACES OF CONTINUOUSLY VARIABLE TRANSMISSION TO ENHANCE ITS WEAR RESISTANCE SPATIAL PARTITION FOR HETEROGENEOUS CITY NETWORKS COMPOSED OF FACTORS THAT INFLUENCE THE DISTRIBUTION OF THE MACROSCOPIC FUNDAMENTAL DIAGRAM PANDEMIC IMPACT ON TRAFFIC TRENDS AND PATTERNS IN THE CITY OF BELGRADE AIRPORT PLANNING: APPROACHES TO DETERMINING THE PLANNING HORIZON
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1