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Comparison of Emergency Medical Services Delivery Performance using Maximal Covering Location and Gradual Cover Location Problems

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 7 No. 5 (2017)

DOI
10.11591/ijece.v7i5.pp2791-2797
ISSN
2088-8708, 2088-8708
Terbit
2017-10-01
Penerbit
Institute of Advanced Engineering and Science
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Ambulance location is one of the critical factors that determine the efficiency of emergency medical services delivery. Maximal Covering Location Problem is one of the widely used ambulance location models. However, its coverage function is considered unrealistic because of its ability to abruptly change from fully covered to uncovered. On the contrary, Gradual Cover Location Problem coverage is considered more realistic compared to Maximal Cover Location Problem because the coverage decreases over distance. This paper examines the delivery of Emergency Medical Services under the models of Maximal Covering Location Problem and Gradual Cover Location Problem. The results show that the latter model is superior, especially when the Maximal Covering Location Problem has been deemed fully covered.

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16 penulis · 52 tautan kepenulisan bersama · 4 lintas organisasi

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  • University of Technology Malaysia
  • Universiti Sains Malaysia
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
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Rekan penulisOrganisasiArtikel bersama
Kien Liong WongUniversity of Technology Malaysia2
Wee Khang ChongUniversity of Technology Malaysia2
Mohd Shahrizal RusliUniversity of Technology Malaysia2
Mohamad Azri Sufi MahadzirUniversity of Technology Malaysia1
Michael Loong Peng TanUniversity of Technology Malaysia1
Michael TanAfiliasi tidak diketahui1
Nurul Ezaila AliasUniversity of Technology Malaysia1
Afiq HamzahUniversity of Technology Malaysia1
Mu Wen ChuanUniversity of Technology Malaysia1
Razman AyopUniversity of Technology Malaysia1
Chee Wei TanUniversity of Technology Malaysia1

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Sumber metadata: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, pertama di-harvest 27 Okt 2026, terakhir terlihat 8 Nov 2026.
Metadata sebagai oai_dc, dikonversi dari Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Comparison of Emergency Medical Services Delivery Performance using Maximal Covering Location and Gradual Cover Location Problems</dc:title><dc:creator>Azizan, Mohd Hafiz</dc:creator><dc:creator>Go, Ting Loong</dc:creator><dc:creator>W.M. Hatta, W.A. Lutfi</dc:creator><dc:creator>Lim, Cheng Siong</dc:creator><dc:creator>Teoh, Soo Siang</dc:creator><dc:description>&lt;jats:p&gt;Ambulance location is one of the critical factors that determine the efficiency of emergency medical services delivery. Maximal Covering Location Problem is one of the widely used ambulance location models. However, its coverage function is considered unrealistic because of its ability to abruptly change from fully covered to uncovered. On the contrary, Gradual Cover Location Problem coverage is considered more realistic compared to Maximal Cover Location Problem because the coverage decreases over distance. This paper examines the delivery of Emergency Medical Services under the models of Maximal Covering Location Problem and Gradual Cover Location Problem. The results show that the latter model is superior, especially when the Maximal Covering Location Problem has been deemed fully covered.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2017-10-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v7i5.pp2791-2797</dc:identifier><dc:identifier>10.11591/ijece.v7i5.pp2791-2797</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 7 No 5 (2017); 2791</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/8234/6958</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>