Abstract: The allocation of urban public service facilities has essential impacts on social equity and justice. Unreasonable allocation of urban public service facilities often leads to the paradoxes of shortages and excesses of urban public services, while also reducing the use of the allocation of public service facilities. In recent years, the rapid development of big data, intelligent decision-making and simulation technology has triggered a revolution in the research of urban public service facilities allocation model. Based on the above background, this paper summarizes and prospects the recent research progress of the optimal allocation model of urban public service facilities. Firstly, the optimization decision model for urban public service facilities has greatly developed with the application of the accessibility analysis methodologies and the concept of equalization of public services. Secondly, the spatial-temporal simulation and prediction of urban public service demand is becoming more and more accurate. The application of big data and spatial-temporal data mining in urban public facilities allocation makes it possible to simulate the demand of public services on more elaborate spatial and temporal scales. Thirdly, the multi-objective intelligent optimization decision-making method promotes the intellectualization of decision-making in urban planning. It is foreseeable that with the wide application and integration of new technologies such as big data, cloud computing, parallel computing and artificial intelligence in the field of GIS, the optimal allocation model of urban public service facilities will be more and more refined and intelligent.

Key words: public service facilities, location allocation, facility layout, urban planning, big data