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.

Highlights

  • Emergency refers to unforeseen circumstances like natural disasters, accidents, public health incidents, and social security incidents that occur suddenly, causing or possibly causing serious social harm, and such require emergency measures to be taken in order to deal with them [1]. e COVID-19 pandemic is an example of the major public health emergency with a fast transmission rate, complex and multiple variants of the virus, wide infection range, and great difficulty in prevention and control [2]

  • With the development of Web2.0 technology, various social platforms have become the first choice for people to express their personal opinions and suggestions. us, when an emergency occurs, people may choose these platforms to publish their personal emergency needs and these needs reflect the completeness of emergency measures to a certain extent [8]. erefore, this paper proposes evaluating the completeness of emergency measures in the emergency plan based on User-Generated Content (UGC) data

  • E purpose of this paper is to evaluate the emergency measure completeness based on UGC data. is article thinks that UGC data provides more real emergency needs from people and best reflects the completeness of emergency measures. erefore, emergency-related UGC data is collected first, and matches are made with the emergency measures in the emergency plan to realize the evaluation of the emergency measures completeness and find the defects in the emergency plan

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Summary

Introduction

Emergency refers to unforeseen circumstances like natural disasters, accidents, public health incidents, and social security incidents that occur suddenly, causing or possibly causing serious social harm, and such require emergency measures to be taken in order to deal with them [1]. e COVID-19 pandemic is an example of the major public health emergency with a fast transmission rate, complex and multiple variants of the virus, wide infection range, and great difficulty in prevention and control [2]. To minimize the loss of people’s lives and property and to maintain social stability in the disaster areas, it is of great importance to ensure the efficient emergency measures after the occurrence of COVID-19 [3]. E completeness of emergency measures means that the emergency plan should include all the emergency measures that need to be carried out after the occurrence of an emergency, so as to meet all the emergency needs of the public [5]. Erefore, the completeness of emergency measures must be evaluated to ensure that emergency plans can achieve ideal emergency disposal effects. Us, when an emergency occurs, people may choose these platforms to publish their personal emergency needs and these needs reflect the completeness of emergency measures to a certain extent [8]. With the development of Web2.0 technology, various social platforms have become the first choice for people to express their personal opinions and suggestions. us, when an emergency occurs, people may choose these platforms to publish their personal emergency needs and these needs reflect the completeness of emergency measures to a certain extent [8]. erefore, this paper proposes evaluating the completeness of emergency measures in the emergency plan based on UGC data

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