Optimizing emergency services for road safety using a decomposition method: a case study of Delhi
From MaRDI portal
Publication:6105937
DOI10.1007/s12597-022-00612-1OpenAlexW4312132258MaRDI QIDQ6105937
Publication date: 26 June 2023
Published in: Opsearch (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s12597-022-00612-1
decomposition methodfacility locationmixed integer linear programmingemergency medical servicesdouble standard model
Cites Work
- Ambulance location and relocation problems with time-dependent travel times
- Heuristic solution of an extended double-coverage ambulance location problem for Austria
- A Lagrangean heuristic for the maximal covering location problem
- Emergency medical services and beyond: addressing new challenges through a wide literature review
- Strategic ambulance location for heterogeneous regions
- Ambulance location and relocation models.
- Recent optimization models and trends in location, relocation, and dispatching of emergency medical vehicles
- Solving an ambulance location model by tabu search
- The Maximum Availability Location Problem
- A Reliability Model Applied to Emergency Service Vehicle Location
- The Location of Emergency Service Facilities
- Application of the Double Standard Model for Ambulance Location
This page was built for publication: Optimizing emergency services for road safety using a decomposition method: a case study of Delhi