应急信息适度描述、度量和管理，对应急信息共享不可或缺。传统“管理-应急信息”思维模式轻视应急信息内部性研究，容易造成对象随机和特性冲突，导致研究结论带有随机性。本项目拟探索“应急信息-管理”思维模式，充分尊重应急信息原本性和内部性，从应急信息需求和采纳特性入手提炼其顶层特性，结合大数据理论，拓展斯坦福大学Fogg基于Petty和Cacioppo双路径模型的信息可信度分析框架，基于架构论对大数据环境下应急信息质量评估顶层设计，基于本体论对应急信息质量客观评价指标提取，构建应急信息质量样本库，基于双路径模型测定应急信源可信度主观评价方案，进行作用机理仿真，同时结合专家验证法进行应急信息质量与信源可信度主客观评价一致性检验。研究将从理论上指明应急信息采纳及危机应对根本所在，扩展双路径理论应用范围，提供检验应急信息质量和信源可信度大数据应用基准，及应急信息共享和政府应急大数据治理工程提升新策略。

Modest description, measurement and management of emergency information is essential for emergency information sharing. Traditional "Management - Emergency Information" thinking model contempts emergency information internal study, which may bring that study subjects were choosed randomly and characteristics conflict, then leads that research conclusions are full of randomness. The project intends to explore the "Emergency Information - Management" thinking mode, respects for the original and internal characteristics of emergency information, refines their top characteristics from the angle of emergency information adoption and need, combines with the theory of big data, expands the information reliability analysis framework of Fogg of Stanford University based on dual-path model which was put by Petty and Cacioppo, top-level designs emergency information quality assessments based on the architecture theory under environmental of large data, objective extracts emergency information quality evaluation indexes based on ontology, builds emergency information quality sample library, Determines the emergency source credibility subjective evaluation program based on a dual-path model, conducted simulation of mechanism of action, and tests the consistency between emergency information quality objective evaluation and subjective evaluation of source credibility combining with expert validation measures. The study will indicate Fundamental mechanism of emergency information adoption and crisis response, expand the scope of dual path theory application, provide big data application benchmark of inspecting emergency information quality and credibility source and the new strategy of upgrading emergency information sharing project and government emergency Big Data governance project.