A Parametric Model for the Allocation of Fire Companies

Executive Summary

Kenneth Lloyd Rider

ResearchPublished 1975

A nontechnical overview of the Parametric Allocation Model that was developed at The New York City-RAND Institute determining how to allocate fire-fighting resources to various regions of a city. It is designed to help city administrators and fire department managers understand when the model should be used, how it works, what information it supplies, and what data and resources are needed to employ it. The Parametric Allocation Model provides a user with a general picture of the number of fire companies to be assigned to different regions of the city. It is inexpensive to use, and requires very little data. But it cannot be used to evaluate specific locations for the companies in detail. Its primary purpose is to assist in the initial steps of a fire station location study. (See also R-1646/2 and R-1615.)

Order a Print Copy

Format
Paperback
Page count
28 pages
List Price
$20.00
Buy link
Add to Cart

Document Details

  • Copyright: RAND Corporation
  • Availability: Available
  • Year: 1975
  • Print Format: Paperback
  • Paperback Pages: 28
  • Paperback Price: $20.00
  • Document Number: R-1646/1-HUD

Citation

RAND Style Manual
Rider, Kenneth Lloyd, A Parametric Model for the Allocation of Fire Companies: Executive Summary, RAND Corporation, R-1646/1-HUD, 1975. As of September 7, 2024: https://www.rand.org/pubs/reports/R1646z1.html
Chicago Manual of Style
Rider, Kenneth Lloyd, A Parametric Model for the Allocation of Fire Companies: Executive Summary. Santa Monica, CA: RAND Corporation, 1975. https://www.rand.org/pubs/reports/R1646z1.html. Also available in print form.
BibTeX RIS

This publication is part of the RAND report series. The report series, a product of RAND from 1948 to 1993, represented the principal publication documenting and transmitting RAND's major research findings and final research.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.