Measuring the spatial readiness of ambulance facilities for natural disasters using GIS networks analysis

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dc.contributor.authorAwad, A.
dc.contributor.authorAli, H.
dc.contributor.authorAbujayyab, S.K.M.
dc.contributor.authorKaras, I.R.
dc.contributor.authorSumunar, D.R.S.
dc.date.accessioned2024-09-29T16:16:04Z
dc.date.available2024-09-29T16:16:04Z
dc.date.issued2020
dc.departmentKarabük Üniversitesien_US
dc.description5th International Conference on Smart City Applications, SCA 2020 -- 7 October 2020 through 8 October 2020 -- Safranbolu -- 167323en_US
dc.description.abstractThe massive disasters that arise by nature and humanity are significantly leads to several losses in lives and infrastructures. Disasters such as chemical explosions, flash floods and volcanoes. The high level of preparedness from the governments and administration authorities and ambulance services can significantly reduce the losses in lives. The aim of this paper is to measure the spatial readiness of ambulance facilities for natural disasters using GIS networks analysis. The measurement performed based on three standards, the area covered by the ambulance service, speed of service and the proportion to the population. ArcGIS spatial analysis and network analysis tools employed to develop the coverage maps of the three measured standards. According to the analysis, 94.4% from the study area appeared within the standard distance (20 km) from the ambulance stations, while 91% from the study area appeared within the time response standard (15 minutes) from the ambulance stations. The study area has a deficit of 256,714 people and needs 5 additional ambulances to achieve the demographic standard. The main recommendation of this study is to apply this methodology regularly in the study area to avoid any weakness before the disasters and to increase the level of preparedness. © 2020 International Society for Photogrammetry and Remote Sensing. All rights reserved.en_US
dc.description.sponsorshipMinistry of Research, Technology, and Higher Education; RISTEKDIKTI; Universitas Negeri Yogyakarta, UNYen_US
dc.identifier.doi10.5194/isprs-archives-XLIV-4-W3-2020-81-2020
dc.identifier.endpage84en_US
dc.identifier.issn1682-1750
dc.identifier.issue4/W3en_US
dc.identifier.scopus2-s2.0-85098712388en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage81en_US
dc.identifier.urihttps://doi.org/10.5194/isprs-archives-XLIV-4-W3-2020-81-2020
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8842
dc.identifier.volume44en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInternational Society for Photogrammetry and Remote Sensingen_US
dc.relation.ispartofInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAmbulance facilitiesen_US
dc.subjectDisaster Managementen_US
dc.subjectGISen_US
dc.subjectNatural disastersen_US
dc.subjectNetworks analysisen_US
dc.subjectVolcanic disastersen_US
dc.titleMeasuring the spatial readiness of ambulance facilities for natural disasters using GIS networks analysisen_US
dc.typeConference Objecten_US

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