Empirical Spatial Density-Based Emergency Medical Service Demand Forecast for Ambulance Allocation

DOI10.1142/S2424922X21500030OpenAlexW3129740225MaRDI QIDQ5066690

Hwei-Jen Lin, Pei-Wen Chi, Yihjia Tsai, Kelvin W. Lee

Publication date: 29 March 2022

Published in: Advances in Data Science and Adaptive Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s2424922x21500030

zbMATH Keywords

multi-objective programmingparticle swarm optimizationemergency medical serviceambulance allocationqradtree decomposition

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• A simulation model to enable the optimization of ambulance fleet allocation and base station location for increased patient survival
• Ambulance location and relocation models.
• A new approach for solving set covering problem using jumping particle swarm optimization method
• Solving an ambulance location model by tabu search
• The Location of Emergency Service Facilities
• A dynamic model and parallel tabu search heuristic for real-time ambulance relocation

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