  A generic uniformly distributed sequence $(x_n)_{n \in \mathbb{N}}$ in
$[0,1)$ possesses Poissonian pair correlations (PPC). Vice versa, it has been
proven that a sequence with PPC is uniformly distributed. Grepstad and Larcher
gave an explicit upper bound for the discrepancy of a sequence given that it
has PPC. As a first result, we generalize here their result to the case of
$\alpha$-pair correlations with $0 < \alpha < 1$. Since the highest possible
level of uniformity is achieved by low-discrepancy sequences it is tempting to
assume that there are examples of such sequences which also have PPC. Although
there are no such known examples, we prove that every low-discrepancy sequence
has at least $\alpha$-pair correlations for $0 < \alpha <1$. According to
Larcher and Stockinger, the reason why many known classes of low-discrepancy
sequences fail to have PPC is their finite gap property. In this article, we
furthermore show that the discrepancy of a sequence with the finite gap
property plus a condition on the distribution of the different gap lengths can
be estimated. As a concrete application of this estimation, we re-prove the
fact that van der Corput and Kronecker sequences are low-discrepancy sequences.
Consequently, it follows from the finite gap property that these sequences have
$\alpha$-pair correlations for $0 < \alpha < 1$.
