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This paper presents an application of goal programming to the planning of industrial location in the context of air-pollution policy. Goal programming is a modification of linear programming designed to solve problems characterized by a large number of conflicting objectives. The solution is obtained by expressing all objectives as constraints and minimizing the deviation of the allocation from the respective targets and standards. If lexicographic ordering of objectives prevails, the constraints can be introduced in order of their importance. The paper first discusses the theoretical basis for goal programming and then presents the mathematical formulation and the numerical evaluation of a hypothetical industrial-location problem. Finally, goal programming is evaluated for its implications for environmental planning.

Privatisation has been part of Israeli housing policy since the first public housing units were built in 1949. It has involved the sale of publicly-owned dwellings to sitting tenants, but also the shift to residents of responsibilities usually associated with ownership, such as maintenance and tax liabilities. The evolution of this policy is examined by considering the social, economic and political factors which have shaped the development of Israeli public housing policy from its beginning.