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    Optimal Siting of Fire Stations Using GIS and ANT Algorithm

    Source: Journal of Computing in Civil Engineering:;2006:;Volume ( 020 ):;issue: 005
    Author:
    Nan Liu
    ,
    Bo Huang
    ,
    Magesh Chandramouli
    DOI: 10.1061/(ASCE)0887-3801(2006)20:5(361)
    Publisher: American Society of Civil Engineers
    Abstract: Safety and emergency response are being given greater importance while planning infrastructure and transportation projects. This is particularly so, when transporting hazardous materials (HAZMAT) within a heavily urbanized area such as Singapore. The number and location of fire stations significantly influence the efficiency of emergency response during fire accidents. This paper presents an approach to suitably situating new fire stations, considering multiple objectives, using geographic information systems (GIS) and ANT, a novel Ant algorithm. The efficiency of the current fire station locations in covering HAZMAT transport routes is studied using a GIS. The ANT algorithm is implemented within a GIS environment to locate the additional fire stations so as to reduce the response time to an accident occurring on HAZMAT transport routes from
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      Optimal Siting of Fire Stations Using GIS and ANT Algorithm

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    http://yetl.yabesh.ir/yetl1/handle/yetl/43288
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    • Journal of Computing in Civil Engineering

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    contributor authorNan Liu
    contributor authorBo Huang
    contributor authorMagesh Chandramouli
    date accessioned2017-05-08T21:13:18Z
    date available2017-05-08T21:13:18Z
    date copyrightSeptember 2006
    date issued2006
    identifier other%28asce%290887-3801%282006%2920%3A5%28361%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/43288
    description abstractSafety and emergency response are being given greater importance while planning infrastructure and transportation projects. This is particularly so, when transporting hazardous materials (HAZMAT) within a heavily urbanized area such as Singapore. The number and location of fire stations significantly influence the efficiency of emergency response during fire accidents. This paper presents an approach to suitably situating new fire stations, considering multiple objectives, using geographic information systems (GIS) and ANT, a novel Ant algorithm. The efficiency of the current fire station locations in covering HAZMAT transport routes is studied using a GIS. The ANT algorithm is implemented within a GIS environment to locate the additional fire stations so as to reduce the response time to an accident occurring on HAZMAT transport routes from
    publisherAmerican Society of Civil Engineers
    titleOptimal Siting of Fire Stations Using GIS and ANT Algorithm
    typeJournal Paper
    journal volume20
    journal issue5
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)0887-3801(2006)20:5(361)
    treeJournal of Computing in Civil Engineering:;2006:;Volume ( 020 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian