{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T16:21:22Z","timestamp":1759335682689,"version":"3.37.3"},"reference-count":43,"publisher":"Wiley","license":[{"start":{"date-parts":[[2017,7,30]],"date-time":"2017-07-30T00:00:00Z","timestamp":1501372800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Computational Engineering"],"published-print":{"date-parts":[[2017,7,30]]},"abstract":"<jats:p>This paper compares the application of the Monte Carlo simulation in incorporating travel time uncertainties in ambulance location problem using three models: Maximum Covering Location Problem (MCLP), Queuing Maximum Availability Location Problem (Q-MALP), and Multiserver Queuing Maximum Availability Location Problem (MQ-MALP). A heuristic method is developed to site the ambulances. The models are applied to the 33-node problem representing Austin, Texas, and the 55-node problem. For the 33-node problem, the results show that the servers are less spatially distributed in Q-MALP and MQ-MALP when the uncertainty of server availability is considered using either the independent or dependent travel time. On the other hand, for the 55-node problem, the spatial distribution of the servers obtained by locating a server to the highest hit node location is more dispersed in MCLP and Q-MALP. The implications of the new model for the ambulance services system design are discussed as well as the limitations of the modeling approach.<\/jats:p>","DOI":"10.1155\/2017\/2364254","type":"journal-article","created":{"date-parts":[[2017,7,30]],"date-time":"2017-07-30T21:02:58Z","timestamp":1501448578000},"page":"1-15","source":"Crossref","is-referenced-by-count":4,"title":["Analysis of MCLP, Q-MALP, and MQ-MALP with Travel Time Uncertainty Using Monte Carlo Simulation"],"prefix":"10.1155","volume":"2017","author":[{"given":"Noraida","family":"Abdul Ghani","sequence":"first","affiliation":[{"name":"School of Distance Education, Universiti Sains Malaysia (USM), 11800 Gelugor, Penang, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6066-6395","authenticated-orcid":true,"given":"Norazura","family":"Ahmad","sequence":"additional","affiliation":[{"name":"School of Quantitative Sciences, UUM College of Arts and Sciences, Universiti Utara Malaysia (UUM), 06010 Sintok, Kedah, 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