In this article, we define the transport dimension of probability measures on
$\mathbb{R}^m$ using ramified optimal transportation theory. We show that the transport
dimension of a probability measure is bounded above by the Minkowski dimension and below by
the Hausdorff dimension of the measure. Moreover, we introduce a metric, called "the
dimensional distance", on the space of probability measures on $\mathbb{R}^m$. This metric
gives a geometric meaning to the transport dimension: with respect to this metric, we show
that the transport dimension of a probability measure equals to the distance from it to any
finite atomic probability measure.