大数据驱动的应急资源布局研究

Research on Emergency Resource Layout from the Perspective of Big Data Driving

大数据作为新一轮科技革命和管理变革的重要驱动力,在应急资源布局过程中发挥了重要作用。本文具体介绍了大数据驱动的应急资源布局的关键内容和实现过程,包括基于历史数据挖掘和实时指标计算的两种应急风险网格划分、基于行政区划的静态布局和基于空间聚类的动态布局相结合的应急资源规划配置、解决信息准确性需求和计算资源需求的应急资源需求预测,以及应急资源储备补给的业务流程和模式。大数据技术改变了应急资源布局的管理思维和决策模式,符合数据时代应急资源管理需求。

As an important driving force of the new round of technological revolution and management change,big data plays an important role in the process of emergency resource layout.This paper specifies the key contents and implementation process of big-data-driven emergency resource layout,including two kinds of emergency risk grid division based on historical data mining and real-time index calculation,emergency resource planning combining static layout based on administrative division and dynamical location based on spatial clustering,emergency resource demand calculation addressing demand of information accuracy and computing resource,and emergency resource reserve replenishment business processes and models.Big data technology has changed the management thinking and decision-making mode of emergency resource layout to meet the needs of emergency resource management in the data age.