关键词: 地铁工程项目, 安全文明施工费费率, 结算造价, 动态测算, 粒子群算法优化的最小二乘支持向量机(PSO-LS-SVM)模型

Abstract: For the sake of solving the problem that the standard of safety-civilized measure cost rate couldn't work effectively in time for subway project, the rate was studied based on the constraint of time. It was proposed that the subway project safety-civilized measure cost should be analyzed from the two parts of the fixed cost and variable cost according to its definition. On the basis of the analysis, the safety-civilized measure cost was counted and predicted as the molecule of the rate. A model of least squares support vector machine optimized with particle swarm optimization was built to predict the settlement cost which could be used to draw the base data as the denominator of the rate. Thus, a dynamic calculation method of the subway project safety-civilized measure cost rate was worked out. Typical subway projects in Wuhan area were taken as examples to be analyzed. The results show that the rate calculated by the dynamic calculation method can reflect the demands of the subway projects for safe and civilized construction.

Key words: subway project, safety-civilized measure cost rate, settlement cost, dynamic calculation, particle swarm optimization-least squares-support vector machine(PSO-LS-SVM) model