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A method with an established correlation and regression relationships between population change in a region and levels of harmful emissions had been proposed in [1-3]. The method is based on the linear multiple regression models. However, such isolated regression equations, where the explanatory factors vary independently of each other, are not enough to describe and explain the mechanism of functioning of such complex systems as the objects of research on the project «Man and development biosphere-compatible urbanized areas». Indeed, a change in one variable is usually associated with a change of some others. Therefore, the structure of relations between variables of the problem proves to be necessary in order to describe the system behaviour [4]. That is, a set of related regression models in which the same variables in different equations may simultaneously play the role of the result and the explanatory variables is needed. The overall aim of the present work is simulation of the relationship between population size and characteristics of environment. We represent a structural form of the model considered as a system of equations

Simultaneous Equations for Modeling the Relationships and Population Characteristics of Vital Environment