00638769

Component

http://onlinepubs.trb.org...trr/1993/1400/1400-003.pdf

https://scholar.google.co...nsen&publication_year=1993

A statistical appraisal method (SAM) is presented that can undertake cost-efficient programming of road projects in which a large number of projects are to be examined and data are scarce or difficult to acquire. This is often the case in developing countries, and SAM is illustrated by an example concerning appraisal of low-volume rural roads in the Philippines. Most project appraisal methodologies are based on cost-benefit analysis techniques in which costs and benefits for the design life of the projects are estimated and net present values or internal rates of return are calculated. One of the main obstacles to the use of such methods is the tremendous data requirement for the applied benefit and cost estimation models. The use of a statistical regression technique on readily available data or those with a low collection cost is suggested as a method for limiting the requirements for data with a high collection cost. In addition to SAM, a simplified method, budget level test (BLT), is introduced. BLT measures the efficiency of a simplified appraisal method--in this case, SAM--compared with that of cost-benefit analysis. Application of the programming methodology presented indicates that the data requirements in the appraisal type dealt with can be lowered by 50% without seriously jeopardizing the quality of the appraisal.

This paper appears in Transportation Research Record No. 1400, Planning and Programming, Land Use, Public Participation, and Computer Technology in Transportation. 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

01403242

English

p. 18-26

1993

Transportation Research Record

0309054702

Figures (5) ; References (7) ; Tables (1)

Alternatives analysis; Appraisals; Benefit cost analysis; Computer programming; Cost effectiveness; Data collection; Developing countries; Information processing; Low volume roads; Regression analysis; Statistical analysis

Data requirements; Programming; Road projects

Philippines

Philippines

Administration and Management; Data and Information Technology; Finance; Highways; I10: Economics and Administration

TRIS, TRB, ATRI

Nov 10 1993 12:00AM

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