00662859

Component

http://onlinepubs.trb.org...trr/1994/1429/1429-002.pdf

https://scholar.google.co...uist&publication_year=1994

The analytic hierarchy process (AHP) is a scoring procedure that uses a high-precision method both for weighting criteria and comparing alternatives; the scores are scaled, summed, and normalized to give final "goodness" measures to the alternatives. These measures can then be the basis for selection, ranking, or allocation among the alternatives. The Highway Performance Monitoring System (HPMS) is a computer model that determines highway improvement needs by maximizing its "composite index", a performance measurement function that is a weighted sum of nine quantified highway condition factors for the sections of the road system. The weights are the relative priorities given to each of the condition factors. The results are sensitive to the component weights in this performance function, and some states have modified the national average default values in the model to better represent their own specific road condition priorities. Failure to represent these weights correctly would cause the model to optimize with the wrong priorities, producing a highway investment strategy inappropriate for that state. An empirical examination of the extent of uncertainty about what the index weights should be and whether AHP can improve the confidence of this determination relative to the usual single-step approach is presented. The study finds that because the AHP method does not produce the numerical biases seen in the single-step method, the AHP apparently yields these subjective preferences with greater precision. This is a promising approach for assessing competing multimodal projects, where a structured and rigorous method will be useful in scoring the alternatives and weighting the many criteria. These criteria will correspond to the necessarily multiple performance measures of a multimodal system such as time, cost, safety, reliability, and environmental impacts.

This paper appears in Transportation Research Record No. 1429, Multimodal Priority Setting and Application of Geographic Information Systems. 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

01403268

English

p. 7-14

1994

Transportation Research Record

0309055075

Figures (11) ; References (6) ; Tables (4)

Analytic hierarchy process; Highways; Improvements; Investments; Multimodal transportation; Planning; Ratings; Strategic planning; Weighting

Highway performance monitoring system

Administration and Management; Highways; Planning and Forecasting; I10: Economics and Administration

TRIS, TRB

Jul 19 1994 12:00AM

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• BUILDING TRANSPORTATION ANALYSIS ZONES USING GEOGRAPHIC INFORMATION SYSTEMS
• COMPARING INFRASTRUCTURE RENEWAL PROJECTS TO MOBILITY IMPROVEMENT PROJECTS
• COMPARING MULTIMODAL ALTERNATIVES IN MAJOR TRAVEL CORRIDORS
• COMPARISON OF TWO SIGN INVENTORY DATA COLLECTION TECHNIQUES FOR GEOGRAPHIC INFORMATION SYSTEMS
• DEVELOPING A METHOD OF MULTIMODAL PRIORITY SETTING FOR TRANSPORTATION PROJECTS IN THE SAN FRANCISCO BAY AREA IN RESPONSE TO OPPORTUNITIES IN ISTEA
• GEOGRAPHIC INFORMATION SYSTEM DECISION SUPPORT SYSTEM FOR PAVEMENT MANAGEMENT
• GEOGRAPHIC INFORMATION SYSTEM ENVIRONMENT FOR TRANSPORTATION MANAGEMENT SYSTEMS
• GEOGRAPHIC INFORMATION SYSTEMS APPLICATIONS TO TRANSPORTATION CORRIDOR PLANNING
• GIS INTEGRATED PAVEMENT AND INFRASTRUCTURE MANAGEMENT IN URBAN AREAS
• MULTIMODAL PROJECT EVALUATION: A COMMON FRAMEWORK, DIFFERENT METHODS