Abstract: Focused on the issue of commercial site selection, a commercial site recommendation algorithm based on taxi GPS trajectory and POI of urban is proposed. Firstly, the taxi GPS trajectory and POI data of the city are preprocessed and map matching is performed. Secondly, we split the city into traffic zones and analyze the traffic flow characteristics between traffic zones by using OD matrix. Combining the POI distribution characteristics and semantic attributes in the traffic zones, a commercial site recommendation model based on the OD matrix and the POI data is constructed. Finally, the effectiveness and practicability of the proposed algorithm are verified by taxi GPS trajectory and POI data of Lanzhou. The recommendation results are visualized at the traffic zones level. The experimental results show that this recommendation algorithm can not only recommend reasonable commercial site selection, but also provide an immediately visual quantitative analysis in decision making for commercial site selection. At the same time, it can provide decision-making basis for urban public service facilities spatial layout planning.

Key words: commercial site selection, recommendation algorithm, taxi GPS trajectory, POI data, urban public service facilities