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Building Consensus in Environmental Impact Assessment Through Multicriteria Modeling and Sensitivity Analysis

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Abstract

Multicriteria decision analysis (MCDA) increasingly is being applied in environmental impact assessment (EIA). In this article, two MCDA techniques, stochastic analytic hierarchy process and compromise programming, are combined to ascertain the environmental impacts of and to rank two alternative sites for Mexico City’s new airport. Extensive sensitivity analyses were performed to determine the probability of changes in rank ordering given uncertainty in the hierarchy structure, decision criteria weights, and decision criteria performances. Results demonstrate that sensitivity analysis is fundamental for attaining consensus among members of interdisciplinary teams and for settling debates in controversial projects. It was concluded that sensitivity analysis is critical for achieving a transparent and technically defensible MCDA implementation in controversial EIA.

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Acknowledgments

The authors thank G. Ceballos for his suggestions and comments, H. Eakin for her insights, and the observations of two anonymous reviewers. We also acknowledge I. Rosas, head of PUMA, for her contributions to the development of this case study.

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Correspondence to Luis A. Bojórquez-Tapia.

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Bojórquez-Tapia, L.A., Sánchez-Colon, S. & Florez, A. Building Consensus in Environmental Impact Assessment Through Multicriteria Modeling and Sensitivity Analysis. Environmental Management 36, 469–481 (2005). https://doi.org/10.1007/s00267-004-0127-5

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