It is established that the trapping of a random walker undergoing unbiased,
nearest-neighbor displacements on a triangular lattice of Euclidean dimens
ion d = 2 is more efficient (i.e., the mean walklength <n > before trapping
of the random walker is shorter) than on a fractal set, the Sierpinski tow
er, which has a Hausdorff dimension D exactly equal to the Euclidean dimens
ion of the regular lattice. We also explore whether the self similarity in
the geometrical structure of the Sierpinski lattice translates into a "self
similarity" in diffusional flows, and find that expressions for <n > havin
g a common analytic form can be obtained for sites that are the first- and
second-nearest-neighbors to a vertex trap.