摘要
运用相关分析方法并借助SPSS软件工具,对某市2003-2006年的消防接处警数据进行了分析,选取接警时间、处置时长、出动公安消防车辆数、出动公安消防员数等接处警数据描述属性作为相关分析变量,计算了变量间的Pearson简单相关系数、Spearman等级相关系数和Kendallτ相关系数,结果表明出动人员数量与出动车辆数量存在高度线性相关性,而接警时间、处置时长之间以及它们与出动人员数量和车辆数量之间互不相关。
The correlation analysis in SPSS is adopted to analyze the fire alarm receipt and disposal data in a certain city from 2003 to 2006. Four describable attributes are selected as correlation variables, including the time of receiving alarms, the duration of disposal, the number of turnout vehicles and the number of the firefighters, then the Pearson correlation coefficient, Spearmen correlation coefficient and Kendallτ correlation coefficient between every two variables are calculated. Results show that there is a high linear correlation between the number of turnout vehicles and firefighters, while there is no correlation between the time of receiving alarms and the duration of dispos al, as well as between these two and the number of turnout vehicles and firefighters.
出处
《消防科学与技术》
CAS
北大核心
2010年第4期314-317,共4页
Fire Science and Technology
基金
公安部应用创新项目"灭火救援数据信息管理与应用技术研究"(2008YYCXWJXY116)
关键词
消防
接处警数据
相关分析
相关系数
fire fighting
data of fire alarm receipt and disposal
correlation analysis
correlation coefficient