Road safety and the urban emergency medical service (uEMS): Strategy station location

被引:19
|
作者
Amorim, Marco [1 ]
Ferreira, Sara [1 ]
Couto, Antonio [1 ]
机构
[1] Univ Porto, Civil Engn Dept, Res Ctr Terr Transports & Environm CITTA, Rua Dr Roberto Frias, P-4200465 Oporto, Portugal
关键词
Emergency medical service; Static optimization; Road safety; Demand modelling; AMBULANCE SERVICE; SURVIVAL; MODEL; DEMAND; INTERSECTIONS; ALLOCATION; INTERVALS; CRASHES;
D O I
10.1016/j.jth.2017.04.005
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
This paper provides a methodology on how to contribute to road safety by improving the vehicle response of urban emergency medical services (uEMS) using road safety investments. The methodology embodies two steps. The first step includes a demand assessment through a model that calculates the frequency of urban emergency events and their priority in a spatial area per different population demographics and urban characteristics. These events are categorized by type, which we separated as road crashes, cardiac arrests and other emergency events that require the dispatch of an ambulance with a medical team. The second step proposes an optimization model developed to maximize the uEMS vehicle coverage, considering road crashes by locating ambulance stations in the urban area, giving priority to high-priority emergencies and strategically double-covering road crashes. The applicability and practical interest of the proposed models are proven by applying them to the real-world case of the metropolitan area of Porto, where data on the emergency service response, land use and population demographics are available. The final conclusions indicate that areas prone to high volumes of traffic and high speed roads lead to higher volumes of road crash emergencies, and stations should be located closer to high speed roads. Moreover, further investigations should entail micromanagement improvements to assist in road crashes.
引用
收藏
页码:60 / 72
页数:13
相关论文
共 50 条
  • [21] Optimal queuing-location model of urban emergency service system
    2000, Systems Engineering Society of China, China (20):
  • [22] Optimal queuing-location model of urban emergency service system
    Chang, Yulin
    Wang, Wei
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2000, 20 (02): : 104 - 107
  • [23] Increasing Personal Safety in Road Transport Using the Emergency Call Service
    Zabensky, Jakub
    Scurek, Radomir
    NASE MORE, 2015, 62 (03): : 165 - 170
  • [24] Location Analysis for Emergency Medical Service Vehicle in Sub District Area
    Nanthasamroeng, Natthapong
    INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2012, 11 (04): : 339 - 345
  • [25] Decision support framework for tactical emergency medical service location planning
    Grot, Matthias
    OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2024, 125
  • [26] Simultaneous Location of Trauma Centers and Helicopters for Emergency Medical Service Planning
    Cho, Soo-Haeng
    Jang, Hoon
    Lee, Taesik
    Turner, John
    OPERATIONS RESEARCH, 2014, 62 (04) : 751 - 771
  • [27] Service Location Optimization Model for Improving Rural Emergency Medical Services
    He, Zhaoxiang
    Qin, Xiao
    Xie, Yuanchang
    Guo, Jianhua
    TRANSPORTATION RESEARCH RECORD, 2018, 2672 (32) : 83 - 93
  • [28] A multicriteria spatial decision support system for solving emergency service station location problems
    Esmaelian, Majid
    Tavana, Madjid
    Santos Arteaga, Francisco J.
    Mohammadi, Sommayeh
    INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2015, 29 (07) : 1187 - 1213
  • [29] EMS QUALITY AND SAFETY OF RAMATHIBODI EMERGENCY MEDICAL SERVICE TEAM
    Yuksen, Chaiyaporn
    Sittichanbuncha, Yuwares
    Kanchayawong, Ponlawat
    Patchkrua, Jirayoot
    Aussavanodom, Supassorn
    INJURY PREVENTION, 2018, 24 : A31 - A31
  • [30] Location optimization of emergency medical services: Considering joint service coverage of ambulances and emergency centers
    Luo, Weicong
    Yao, Jing
    Mitchell, Richard
    Zhang, Xiaoxiang
    Li, Wenqiang
    ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, 2025, 52 (01) : 150 - 167