• DocumentCode
    1590108
  • Title

    Multi-capacities ambulance location model

  • Author

    Shiah, Dah-Ming ; Hung, Chin-Tun ; Chen, Shu-Wen

  • Author_Institution
    Grad. Sch. of Archit. & Urban Design, Chaoyang Univ. of Technol., Taichung
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Multi-capacities ambulance location model (MCAL) is a different type of capacitated location model compared with ambulance location/relocation model existed. It considers three different types of capacities: traveling distance, address point (population) and EMS incident locations, into one model to solve the set covering of ambulance service area location problem. MCAL is not only a deterministic model but also a probabilistic model by the definition of Brotcorne, since we include both types of dataset as the capacity constraints. MCAL modified the procedures from the predecessor AACM Shiah so that the covering procedures can be simpler, more flexible and more efficient. The results of these procedures show that it can work on irregular surface shape or fragments of sets so as to makes it more adaptable to real world.
  • Keywords
    emergency services; facility location; probability; set theory; MCAL; ambulance relocation model; ambulance service area location problem; deterministic model; multicapacity ambulance location model; probabilistic model; set covering problem; Capacity planning; Chaos; Cities and towns; Disaster management; Geographic Information Systems; Medical services; Shape; GIS; ambulance location/relocation model; capacitated facilities; placing algotithm; set covering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Testbeds and Research Infrastructures for the Development of Networks & Communities and Workshops, 2009. TridentCom 2009. 5th International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-2846-5
  • Electronic_ISBN
    978-1-4244-2847-2
  • Type

    conf

  • DOI
    10.1109/TRIDENTCOM.2009.4976246
  • Filename
    4976246