Good planning of urban housing area functions can enhance the well-being of residents. Considering the configuration of external facilities and internal spatial structure of housing area functions in urban planning, the study collects the points of interest (POI) of the established study area by using GIS technology, and proposes a spatial layout optimisation method for the external area function facilities with reference to the idea of iterative method. Then set the configuration objective function of housing internal regional functions, and use the improved genetic algorithm to solve iteratively to obtain the optimal solution of housing internal regional function configuration. The results show that the entropy of the per capita enjoyment of the external regional functions configured with the 15- minute living circle for shopping facilities, education facilities, medical facilities, leisure facilities, cultural and sports facilities, elderly facilities, convenience facilities and transport facilities ranges from 0.07 to 7.96, which can create a balanced urban living space with a complete system of residence-services and facilities. In addition, ensuring that the ratio of space use efficiency, functional area ratio and space adaptability is 0.682:0.518:0.602 can complete the optimal configuration of internal area functions of housing and enhance the sense of well-being of housing.
