Highlights An extension of double standard model is proposed. Required service reliability is ensured by chance constraints in model formulation. Vehicle allocation is more efficient and reliable than those of the previous model.

    Abstract This paper introduces a new double standard model (DSM), along with a genetic algorithm (GA), for solving the emergency medical service (EMS) vehicle allocation problem that ensures acceptable service reliability with limited vehicle resources. Without loss of generality, the model is formulated to address emergency services to human injuries caused by vehicle crashes at intersections within an urban street network. The EMS fleet consists of basic life support (BLS) and advanced life support (ALS) vehicles suited for treating crashes with different severity levels within primary and secondary service coverage standards corresponding to extended response times. The model ensures that all demand sites are covered by at least one EMS vehicle within the secondary standard and a portion of which also meets the service reliability requirement. In addition, a portion of demand sites can be covered by at least one of each type of EMS vehicles within the primary standard. Meanwhile, it aims to achieve maximized coverage of demand sites within the primary standard that complies with the required service reliability. A computational experiment is conducted using 2004–2010 data on top two hundred high crash intersections in the city of Chicago as demand sites for model application. With an EMS fleet size of 15 BLS and 60 ALS ambulances maintained by the Chicago Fire Department, at best 92.4–95.5% of demand could be covered within the secondary standard at 90% of service reliability; and 65.5–68.4% of high severity demand and 50.2–54.5 low severity demand could be covered within the primary standard at 90% of service reliability. The model can help optimize EMS vehicle allocation in urban areas.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A double standard model for allocating limited emergency medical service vehicle resources ensuring service reliability


    Beteiligte:
    Liu, Yi (Autor:in) / Li, Zongzhi (Autor:in) / Liu, Jingxian (Autor:in) / Patel, Harshingar (Autor:in)


    Erscheinungsdatum :

    2016-05-30


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    ALLOCATING RESOURCES FOR A VEHICLE

    KUNDU SUBRATA KUMAR | Europäisches Patentamt | 2024

    Freier Zugriff

    Emergency Medical Service Response: Analyzing Vehicle Dispatching Rules

    Amorim, Marco / Ferreira, Sara / Couto, António | Transportation Research Record | 2018


    Emergency Response to Vehicle Collisions: Feedback from Emergency Medical Service Providers

    Jacob T. Valente / Miguel A. Perez | DOAJ | 2020

    Freier Zugriff