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Title:

PREDICTIVE MODELING OF ROADWAY COSTS IN NORTHEASTERN NIGERIA

Accession Number:

00607763

Record Type:

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Order URL: http://worldcat.org/isbn/0309050642

Abstract:

Road investments often exceed 20% of the development budget in most developing countries, such as Nigeria. Fast-growing population and economic development require an expanded road network. Application of probabilistic analysis methods during the early planning, or pre-engineering, phases allows for the prediction of probable construction and maintenance costs. Satellite remote sensor imagery can supply quantified descriptions of terrain conditions. When this information is digitized and stored in a Geographic Information System, a data base is created that can be queried to produce appropriate predictive models for roadway construction and maintenance costs. Those can, in turn, create a series of predictive economic roadway development models that reflect alternative design scenarios. Definition of the most economical routes that satisfy the constraints can be automatically produced by optimization algorithms based on linear programming techniques. The results are summarized of a study conducted over the past 3 years at the International Institute for Aerospace Survey and Earth Sciences (ITC), in Enschede, The Netherlands, which developed and tested those methods for road planning in northeastern Nigeria.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1288, Geotechnical Engineering 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 Accession #:

01411083

Authors:

Akinyede, Joseph O
Turner, A Keith
Rengers, Nick

Pagination:

p. 175-182

Publication Date:

1990

Serial:

Transportation Research Record

Issue Number: 1288
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309050642

Features:

Figures (5) ; Photos (1) ; References (16) ; Tables (1)

Geographic Terms:

Subject Areas:

Construction; Data and Information Technology; Economics; Finance; Highways; Society; I10: Economics and Administration; I50: Construction and Supervision of Construction

Files:

TRIS, TRB

Created Date:

Apr 30 1991 12:00AM

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