量化分析垃圾减量分类活动中社会及个体因素

Quantitative Analysis of Social and Individual factors in Garbage Reduction and Classification Activities

以深圳市为例,研究垃圾减量分类活动中各因素之间的关系,基于层次分析法、专家打分法以及熵值法,获得各影响因素间的权重向量;基于Pearson相关系数分析四类垃圾之间的相关性;基于GM(1,1)模型的建立及多元线性回归分析法对未来五年数据进行预测,并分析求解出该工作关键措施实施的最好与最坏结果,最后指出深圳市未来5年推进减量分类工作的关键措施。

Taking the city of Shenzhen as an example,the relationships between the factors of classification of waste reduction are studied. Based on AHP,expert scoring method and entropy method,the weight vectors a- mong each factor are obtained. Based on Pearson＇s correlation coefficient, the correlation among the four types of waste is analyzed. Based on GM （1,1） model and multiple linear regression analysis, the data in the next five years are predicted and the best and the worst results in the implement of the key measures in the work are analyzed. Finally, the key measures to promote the reduction and classification work in the next five years in Shenzhen are pointed out.