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国家级决策气象服务满意度指标及应用研究

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为了提升国家级决策气象服务能力,构建国家级决策气象服务满意度评价的6 个特性和23 个基础指标,采用层次分析法确定指标权重,利用满意度模型计算用户满意度,应用波士顿矩阵分析发展潜力.基于2022 年1 月—6 月国家级决策气象服务的满意度调查数据,发现国家级决策气象服务的满意度为 0.939,6 个特性指标中准确性的满意度最低,23 个基础指标中有19个指标的满意度大于0.9;6 个特性指标中收获项目有3 个,培育项目有1 个,改进项目有2 个;23 个基础指标中收获项目有 9 个,培育项目有6 个,改进项目有8 个.
Research on Satisfaction Index and Application of National Decision-making Meteorological Service
In order to improve the ability of national decision-making meteorological service,the 6 characteristics and 23 basic indexes of satisfaction evaluation of national decision-making meteorological service were put forward.Analytic hierarchy process was used to determine the weight of indexes,the satisfaction model was used to calculate user satisfaction,and the devel-opment potential was analyzed by Boston matrix.Based on the satisfaction survey of the national decision-making meteorological service from January to June 2022,the results showed that the satisfaction of the national decision-making meteorological service is 0.939,the satisfaction of accuracy(0.886)among the 6 characteristic indexes is the lowest,and the satisfaction of 19 of the 23 basic indexes is>0.9.Among the 6 characteristic indexes,there are 3 harvest projects,1 cultivation project and 2 improve-ment projects.Among the 23 basic indexes,there are 9 harvest projects,6 cultivation projects and 8 improvement projects.

decision-making meteorological servicesatisfactionhierarchical analysisBoston matrixindexapplication

王莉萍、章建成、梁科、张立生、王维国、孙贺

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国家气象中心,北京 100081

中国气象局减灾司,北京 100081

决策气象服务 满意度 层次分析 波士顿矩阵 指标 应用

国家重点研发计划项目中国气象局决策专项资金项目中国气象局创新发展专项资金项目

2020YFE0201900JCZX2022015CXFZ2023J071

2024

武汉理工大学学报(信息与管理工程版)
武汉理工大学

武汉理工大学学报(信息与管理工程版)

CSTPCD
影响因子:0.37
ISSN:2095-3852
年,卷(期):2024.46(3)