摘要
为准确地厘定大型公共建筑工程质量的保险纯费率,通过文献分析及调研,对影响大型公共建筑工程质量的因素进行了研究,提炼出11项保险费率因子。以46栋竣工于1993—2016年的大型公共建筑为工程数据集,在频率-强度法基础上,基于Poisson、Negative Binomial、Gamma、Inverse Gauss等分布的假设,利用广义线性模型及广义可加模型建立了8个工程质量保险纯费率厘定模型,通过比较选择最优模型,并对模型进行了验证。结果表明,所建模型可用于大型公共建筑工程质量保险纯费率厘定。
In order to improve the accuracy of pure premium rate making of quality insurance for large-scale public building on the basis of literature analysis,this paper studies the influencing factors of quality loss of large-scale public building projects,and extracts 11 insurance premium rate factors.Based on the frequency-severity method and the distribution assumptions of Poisson distribution,Negative Binomial distribution,Gamma distribution and Inverse Gauss distribution,8 quality insurance pure premium rate-making models are established by using generalized linear model and generalized additive model on the basis of 46 large-scale public buildings data sets completed in 1993-2016 in China,then the best model is selected and its rationality is verified.The results show that the model is suitable for the pure premium rate making of quality insurance for large-scale public building projects.
作者
盛金喜
李慧民
段品生
郭海东
SHENG Jinxi;LI Huimin;DUAN Pinsheng;GUO Haidong(School of Civil Engineering,Xi'an University of Architecture and Technology,Xi'an 710055,China)
出处
《浙江大学学报(理学版)》
CAS
CSCD
北大核心
2020年第5期642-650,共9页
Journal of Zhejiang University(Science Edition)
基金
住房和城乡建设部科技项目(ZLAQ(2015)‒ZL‒1,ZLAQ(2017)‒ZL‒4,ZLAQ(2018)‒ZL‒5).