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A general system planning methodology (G.S.P.M.) applied to national airport system planning (N.A.S.P.) in middle income and economically active countries (M.I.E.A.C.)

A General System Planning Methodology (G.S.P.M.) has been proposed in this
dissertation with the objective to promote planning practices improvements regardless to
the characteristics of the planning context and to the nature of the planning field where it
may be applied. The G.S.P.M. is a normative planning methodology based on procedural
theory of planning, and it is addressed mainly to the multi-disciplinary planning actors
dealing with the multi-objective planning context. The G.S.P.M. has been given a
"procedural framework" supported by two Axiomatic Theories, and three objectives of
planning have been selected to express simultaneously the G.S.P.M. effectiveness and
the aimed Planning Improvement, and they are; Planning Adequacy, Planning Flexibility
and Planning Continuity. The National Airport System Planning (N.A.S.P.) has been
selected to be the planning field test for the G.S.P.M. and two different planning contexts
have been selected to be respectively, the investigation field and the application field for
the G.S.P.M. test. A sample of five developed countries have been chosen to represent
the investigation field as follows; Norway, U.S.A., United Kingdom, Federal Republic
of Germany, and Canada. A sample of four Middle Income and Economically Active
Countries(M.I.E.A.C.) have been chosen as the application field, and Brazil has been
selected the prime country with three further Brazilian Scenarios designed with the help of
Developmental Scenarios Writing to represent that sample. A Multiple Cross System Analysis Matrix(M.C.S.A.M.) has been designed to be
an instrument for the G.S.P.M. operational process within the application test in the
N.A.S.P. of the two sample of countries. The M.C.S.A.M. is a bidimensional
assessment matrix supported by planning theories and operated by multi-disciplinary
planning actors to select the preferred aspects of planning which have been used to
identify the characteristics of the planning context and planning environment. The
M.C.S.A.M. has been designed to select also the preferred planning factors and goals
which may represent the potentially most effective planning factors and goals within the
given planning context. A Developed Countries Realist N.A.S.P. Methodology Model has been identified
within the investigation field which would express the common N.A.S.P. framework
within the developed countries, representing the "emphatical understanding" from which
we supposed to learn their planning practices. A M.I.E.A.C. N.A.S.P. Realist
Methodology Model has been identified within the application field which would express
the common N.A.S.P. framework within the M.I.E.A. Countries. This realist model
which has been obtained from the Brazilian Scenarios has been also called the Brazilian
Planned Scenario N.A.S.P. which is supposed to be the ideal planning context
hypothetically designed to improve the actual Brazilian N.A.S.P. practices, as a planning
exercise of "predictable understanding". The comparative analyses of the two N.A.S.P.
Realist Methodology Models has defined a Tailoring Process of Planning where the
adequate planning method can be identified with the appropriate level of technology to the
identified planning context.