Why use Normalized Gini Score instead of AUC as evaluation?

Kaggle’s competition Porto Seguro’s Safe Driver Prediction uses Normalized Gini Score as evaluation metric and this got me curious about the reasons for this choice. What are the advantages of using normalized gini score instead of the most usual metrics, like AUC, for evaluation?

$$gini = 2 \times AUC -1$$