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Title: IMPROVED DELIVERY OF AIRPORT EMERGENCY SERVICES
Accession Number: 00601395
Record Type: Component
Availability: Find a library where document is available Abstract: A new methodology to improve delivery of emergency airport services is described. Important goals of airport response planning are to simultaneously maximize mobility and payload, and minimize arrival time. The Waterways Experiment Station of the U.S. Army Corps of Engineers has developed the Army Mobility Model and Transportation Model. These models were adapted for use at airports by the U.S. Department of Transportation Research and Special Programs Administration, Transportation Systems Center. A case study was performed that demonstrates that the airport-specific methodology can be used to assess and improve delivery of emergency services. Combining the two models with airport-specific geography creates a situation in which it is possible to quickly investigate travel time sensitivity to changes in factors such as weight, gear ratio, or tire pressure. This experience indicates that properly applied geographic colocation can lead to integration of transportation models with models from other fields.
Supplemental Notes: This paper appears in Transportation Research Record No. 1264, Transportation of Hazardous Materials 1990. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
Monograph Title: Monograph Accession #: 01410820
Authors: Katz-Rhoads, Leonore IYearwood, Kevin WPagination: p. 51-56
Publication Date: 1990
Serial: ISBN: 0309050219
Features: Figures
(12)
TRT Terms: Uncontrolled Terms: Subject Areas: Planning and Forecasting; Safety and Human Factors; Transportation (General); I72: Traffic and Transport Planning
Files: TRIS, TRB
Created Date: Nov 30 1990 12:00AM
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