Sensitivity Analysis in Complex Decision Models

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Abstract
Sensitivity analysis yields useful information for planners through simple applications and through testing of more complex decision models such as multi-objective decision models. These models are used in several planning sectors, including social indicators, intergovernmental allocations, major facility siting, transportation and infrastructure planning, and regional planning. In this article sensitivity indicators that were developed for testing allocation and multi-objective decision models are presented in two cases where testing with these indicators enhanced the decision-making process. This experience revealed that complex decision models may be inherently unstable, and that sensitivity analysis is essential for testing the abstract structure of such models against their structures in practice.

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