大数据时代面向智慧城市发展的应急服务资源整合与协同配置研究

The theoretical research and practical application of integration and allocation of emergency services resources have been considered as a new important research area of emergency services management study, currently catching a much closer attention within the academic circle. The core link of rapid response of emergency services and management is to optimize the integration and allocation of emergency services resources. Based on the analysis of resources planning self-adaption theory、resources storage method、resources intelligent searching method、resources polymorphic data integration method、resources depth digging theory、resources leading intelligent decision theory、resources polymorphic data displaying method , characteristics of the integration and allocation of emergency services resources and smart city are analyzed. The requirement characteristics of emergency services resources are discussed. According to demands of emergency services resources, multi-objective optimization models of integration of emergency services resources of smart city in the age of big data are proposed. The number of human casualties during disaster is vary with time，which has been taken into account in the models. The proposed allocation of emergency services resources optimization model optimizes the positions of supply centers as well as their scale. In addition, the proposed multi- services dynamic emergency services allocation optimization model contains two objects: the maximum emergency services efficiency and the minimum allocation cost of the overall emergency services program in all stages, and combines ideal point method with unit cost utility method to solve it. It should be noted that the allocation cost contains acquisition cost, inventory cost and opportunity loss cost. At last, takes some examples to validate the proposed models.It has an important theoretical significance and practical value to improve the ability and efficiency of emergency services and management system. Therefore, this project has important theoretical significance and broad application prospects.

应急服务资源整合问题的理论研究和实际应用被一致认为是应急管理科学研究的一个新的重要领域，已引起各国政府及学术界的高度关注和重视。应急系统快速响应的核心环节是应急服务资源整合与协同配置。本项目基于大数据时代,探析资源规划及自适应统一表示理论、资源存储与管理方法、资源智能搜索方法、资源多形态数据融合方法、资源深度挖掘理论、数据主导式智能决策理论、多维数据自动展现分析等方法；从面向智慧城市发展和资源需求特征的视角出发，提出新的应急服务资源整合理论方法，构建应急服务资源整合体系；基于时效最大化和灾害损失最小化的目标制订应急服务资源协同配置方案。本项目的研究成果将增强应对突发事件的处理效率和准确率，丰富应急管理理论研究，促进城市发展与管理科学等学科的完善；既为提高城市资源整合与服务能力提供科学决策方法，同时也为政府部门应急管理的规划、设计和实践提供科学依据。因此具有重要的理论意义和广阔的应用前景。

应急服务资源整合与配置的理论研究和实际应用被一致认为是应急管理科学研究的一个新的重要领域，已引起各国政府及学术界的高度关注和重视。应急系统快速响应.的核心环节是应急服务资源整合和配置。本项目基于大数据时代,探析资源规划及自适应统一表示理论、资源存储与管理方法、资源智能搜索方法、资源多形态数据融合方法、资源深度挖掘理论、数据主导式智能决策理论、多维数据自动展现分析等方法；从面向智慧城市发展和资源需求特征的视角出发，提出新的应急服务资源整合理论方法，构建应急服务资源整合体系；基于时效最大化和灾害损失最小化的目标制订应急服务资源配置优化方案。本项目的研究成果将增强应对突发事件的处理效率和准确率，丰富应急管理理论研究，促进城市发展与管理科学等学科的完善；既为提高城市资源整合与服务能力提供科学决策方法，同时也为政府部门应急管理的规划、设计和实践提供科学依据。因此具有重要的理论意义和广阔的应用前景。