Decision-making Research of the Urban Design Competitiveness Based on Principal Component Analysis

This paper uses principal component analysis (PCA) to explore decision-making of urban design competitiveness (UDC) which enhances the objectivity of decision-making and provide theoretical reference for the urban design competitiveness. First of all, we pan-elect the indexes of competitiveness of the urban design competitiveness according to study the present situation of domestic and foreign research and competitiveness index system. Secondly, we construct evaluation index system of urban design competitiveness by using the system principle, representative principle and operation principle. And then a comprehensive evaluation function is got by establishing the evaluation matrix, calculating the correlation coefficient matrix of the matrix and getting the contribution rate of the principal component. Finally, we use the score of Beijing, Shanghai and Guangzhou to assign to validate the correctness of decision-making. To some extent, the research can help the relevant departments to better plan the development process of the design industry, and it is of great help to improve design industry competitiveness.