An Emergency Measure Completeness Evaluation Method Based on UGC Data

Abstract

Complete emergency measures are one of the important guarantees for effective emergency response. An evaluation method based on User-Generated Content (UGC) data is proposed to assess the completeness of emergency measures. To implement this method, UGC data comprising emergency needs from the users and emergency plans comprising emergency measures for specific emergency were firstly collected using a crawler program. A feature template was then established to identify relationships between different features, and a Conditional Random Field (CRF) model was used to extract emergency measures from the emergency plan and emergency needs from UGC data. The Siamese network was applied thereafter to compute the similarity between the emergency measures and emergency needs. The missing emergency measures were obtained based on the similarities, and a quantitative method to calculate the completeness was defined. Finally, using province A as a case study, the emergency measure completeness was evaluated and the emergency measures that need to be strengthened and improved were identified.