Improving emergency service in rural areas: a bi-objective covering location model for EMS systems

DOI10.1007/s10479-011-0972-6zbMath1301.90054OpenAlexW2078138654MaRDI QIDQ478038

Sunarin Chanta, Maria E. Mayorga, Laura A. McLay

Publication date: 11 December 2014

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-011-0972-6

zbMATH Keywords

facility locationdiscrete optimizationemergency medical servicebi-objective optimization

Mathematics Subject Classification ID

Integer programming (90C10) Multi-objective and goal programming (90C29) Discrete location and assignment (90B80)

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Uses Software

• SITATION
• MOD-DIST
• MENU-OKF

Cites Work

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• Capacitated emergency facility siting with multiple levels of backup
• Equity measurement in facility location analysis: A review and framework
• Ambulance location and relocation models.
• A maximal covering location model in the presence of partial coverage
• A fuzzy multi-objective covering-based vehicle location model for emergency services
• The Maximal Expected Covering Location Problem: Revisited
• The Maximal Covering Location Problem with Capacities on Total Workload
• Evaluating Decision Strategies for Equity of Public Risks
• Approximating the Performance of Urban Emergency Service Systems
• The Maximum Availability Location Problem
• A Reliability Model Applied to Emergency Service Vehicle Location
• Multicriteria Optimization
• On a Bicriterion Formulation of the Problems of Integrated System Identification and System Optimization
• The Maximal Conditional Covering Problem
• The generalized maximal covering location problem

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