Abstract: In order to explore the spatial distribution of urban fires and propose a scientifically efficient layout of urban fire stations, the Pudong New Area of Shanghai was taken as the research object. Based on data such as points of interest (POI), urban road network, and fire stations, the SAVEE method and Delphi method were used to identify urban fire risks. The "location allocation" model and "service area" model were used to conduct multi-objective fire collaborative deployment research from multiple perspectives. The results show that high-risk fire areas are mainly concentrated in areas such as Huamu Street, Jinqiao Economic and Technological Development Zone, and Huinan Town in Pudong New Area; The overall coverage rate of the current fire stations in Pudong New Area is 59.94%, with a coverage rate of 95.2% in the main responsible areas. The coverage of other levels is lower than the fire coverage standards; On the basis of the existing fire stations, 8 new fire rescue stations need to be added to further optimize the fire protection layout in Pudong New Area.

Key words: fire rescue station, multi?objective, interest point data, "service area" model, "location allocation" model