A new emergency management dynamic value assessment model based on social media data: a multiphase decision-making perspective

被引：14

作者：

Shan, Siqing ^{[1
,2
]}

Liu, Xiaohui ^{[1
,2
]}

Wei, Yigang ^{[1
,2
]}

Xu, Lida ^{[3
]}

Zhang, Baishang ^{[4
]}

Yu, Lei ^{[5
]}

机构：

[1] Beihang Univ, Sch Econ & Management, Beijing, Peoples R China

[2] Beijing Key Lab Emergency Support Simulat Technol, Beijing, Peoples R China

[3] Old Dominion Univ, Strome Coll Business, Norfolk, VA USA

[4] State Adm Market Regulat PR China, Dev Res Ctr, Beijing, Peoples R China

[5] Beihang Univ, Cent Pekin, Beijing, Peoples R China

来源：

ENTERPRISE INFORMATION SYSTEMS | 2020年 / 14卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Emergency management; decision support; dynamic assessment; text mining; natural Language Processing (NLP); social media;

D O I：

10.1080/17517575.2020.1722251

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

User-Generated Content (UGC) is becoming a powerful data source to support emergency management. Managers usually face two difficulties in practical emergency management. First, the requirement topics for emergency management are changing over time. Second, the value of the same microblog is changing over different emergency phases. The contributions of this study lie in the following aspects. First, this paper develops a multiphase dynamic assessment model. Second, an idea for the dynamic evaluation of UGC is proposed. Third, this paper presents an effective quantification method to assess the dynamic value of social media data.

引用

页码：680 / 709

页数：30

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