A Model for Predicting Emergency Vehicle Response Times.

Abstract

This paper reports the development of a predictive response time model for fire equipment using response time data from the Texarkana, Texas Fire Department. This predictive model resulted in a coefficient of multiple regression (R2) of .6485, it is significant at the .0001 level. The model was developed from response time data in the range of 60 to 480 seconds and distances up to 15000 feet. For validation purposes the model was used to estimate selected response times from various station locations. These same routes were then physically run in a 1973 Ward LaFrance 1250 gpm Diesel Pumper. The estimated run times were compared to the measured run times using a hypothesis test for equality of means. The model is found to be a valid predictor of response times of the .01 level of significance.

Document Details

Document Type
Technical Report
Publication Date
May 01, 1976
Accession Number
ADA028233

Entities

People

  • James S. Utterback

Tags

DTIC Thesaurus Topics

  • Coefficients
  • Computing-Related Activities
  • Data Science
  • Emergencies
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Predictive Modeling
  • Validation

Readers

  • Computational Modeling and Simulation
  • Fire Suppression Systems Design.
  • Regression Analysis.