Abstract: To determine reasonable locations for logistics nodes will be helpful for optimizing logistics network, improving logistics services and alleviating urban traffic conditions. A novel and practical location query is proposed, that is, given population distribution and existing logistics nodes, it is to retrieve the Top-k most influential locations from a candidate set, which can be taken as candidate locations for new logistics nodes. This new query type will be widely used in decision support system. R-tree indexes are built for the three location sets and ranking method are presented for candidate locations importance. Furthermore, three effective pruning rules are addressed to reduce the search complexity dramatically. Experiments demonstrate that the presented algorithm has good query efficiency and the pruning strategies are very effective.