The invention discloses an outdoor space
public facility layout optimization method based on
big data analysis, and belongs to the field of outdoor space
public facility layout optimization, and the method comprises the steps: predicting the number of participants in a
data set based on demands, and combining the illumination intensity,
wind direction, temperature and rainfall in a comprehensive
data set, calculating a meteorological suitability
score of each region, and generating a preliminary facility
layout data set including candidate position points and meteorological suitability scores thereof; on the basis of the adjusted candidate position data set, in combination with the average
decibel value of each region,
spatial analysis is executed, position points with the average
decibel value lower than 60 decibels are screened, and an optimized position data set is generated and comprises the position points, a meteorological suitability
score and a
noise level; and based on the optimized position data set, in combination with the facility coverage range and the construction and maintenance cost, calculating the facility number and type of each region, and generating a facility
layout planning data set including a facility configuration
list of each region.