[en] Multiperipheral models are analyzed using an impact parameter representation for two cases; one when there is no or only an energy- and multiplicity-independent, weak clustering, and the other when there is an energy- and multiplicity-dependent, strong clustering. It is shown that with strong clustering the multiperipheral model agrees with the intuitive geometrical picture in giving < n(s,b)> as a decreasing function of b for fixed s. The strong clustering introduced also eliminates three difficulties in the conventional multiperipheral models. (auth.)