Approximating the Performance of Urban Emergency Service Systems

Richard Charles Larson

366 citations0/0 files storedOperations Research

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Facility Location and Emergency Management Advanced Queuing Theory Analysis Safety and Risk Management

Abstract

This paper presents an approximate procedure for computing selected performance characteristics of an urban emergency service system. Based on a recently developed hypercube queuing model, the procedure requires for N servers solution of only N simultaneous equations, rather than 2N as in the exact model. The procedure relies on the theory of M/M/N queues in which servers are selected randomly and without replacement until the first available (free) server is found. The underlying model is intended for analyzing problems of vehicle location and response district design in urban emergency services, includes interdistrict as well as intradistrict responses, and allows computation of several point-specific as well as area-specific performance measures.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 366 citations exist upstream.

References

1964Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph 1971The Location of Emergency Service Facilities 1974A hypercube queuing model for facility location and redistricting in urban emergency services

Cited by

2016Emergency medical services and beyond: Addressing new challenges through a wide literature review 2006A multiperiod set covering location model for dynamic redeployment of ambulances 1996The Queueing Maximal availability location problem: A model for the siting of emergency vehicles 2002Discrete Network Location Models 2006Planning for Disruptions in Supply Chain Networks 2008Optimal ambulance location with random delays and travel times 2005Location of Health Care Facilities 1989The Maximal Expected Covering Location Problem: Revisited

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.