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Data Grid is one of key factors to build up large-scale dataset storage system and providing high performance computing capacity, by connecting distributed resources in the Grid. One major challenge in data grids is how to provide good and timely access to huge amount of data in distributed locations, given the high latency of interconnection networks. Parallel downloading methods can improve download efficiency and performance, but the download process should have started from appropriate locations for such achievement. In this paper, we present the design of Location Selection System (LSS) for data grid environments, aiming at the problem of downloading locations. The proposed Location Selection System (LSS) not only provides users for setting their own priority strategies, but also provides two downloading modes, manual and automatic. The proposed techniques included as middleware over data grid platforms optimize file downloads, by improving its efficiency and performance.