WIT Press

Multi-attribute Decision Theory Methodology For Pollution Control Measure Analysis

Price

Free (open access)

Paper DOI

10.2495/AIR930521

Volume

1

Pages

12

Published

1993

Size

941 kb

Author(s)

A.S. Barrera Roldan, A. Corona Juarez, R.W. Hardie & G.R. Thayer

Abstract

Multi-attribute decision theory methodology for pollution control measure analysis A.S. Barrera Roldan," A. Corona Juarez," R.W. Hardie/ G.R. Thayer* "Gerencia de Energeticos Alternos y Quimica Ambiental, Instituto Mexicano del Petroleo, Apdo. Postal 14-805, Mexico D.F., 07730, Mexico *PO Box 1663, Mail Stop F611, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA ABSTRACT A methodology based in Multi-Attribute Decision Theory was developed to prioritize air pollution control mea- sures and strategies (a set of measures) for Mexico City Metropolitan Area (MCMA). We have developed a framework that takes into account economic, technical feasibility, environmental, social, political, and in- stitutional factors to evaluate pollution mitigation measures and strategies utilizing a decision analysis process. In a series of meetings with a panel of ex- perts in air pollution from different offices of the mexican government we have develope

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