Are vulnerable communities digitally left behind in social responses to natural disasters? An evidence from Hurricane Sandy with Twitter data
Are vulnerable communities digitally left behind in social responses to natural disasters? An evidence from Hurricane Sandy with Twitter data
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DOI：
10.1016/j.apgeog.2019.05.001
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发表时间：
2019-07
影响因子：
4.9
通讯作者：
Zheye Wang;N. Lam;Nick Obradovich;X. Ye
中科院分区：
文献类型：
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作者：
Zheye Wang;N. Lam;Nick Obradovich;X. Ye
社交媒体数据正越来越多地用于提高抗灾能力和应对能力。近年来，人们更加努力地将社交媒体信息与各种人口和社会经济变量相结合，以深入了解灾害发生时社交媒体使用的地理和社会差异。然而，脆弱性概念和指标在很大程度上被忽视，尽管它们可以帮助理解和衡量社区对自然灾害的敏感性及其应对灾害和灾后恢复的能力。这项研究解决了一个研究问题：弱势群体在应对自然灾害的社会应对中是否被数字化抛在后面？我们的实证分析是基于飓风桑迪，并在灾前设置空间回归模型进行。我们观察到，物理上脆弱的社区有更强烈的社会反应，而社会上脆弱的社区在飓风桑迪的灾前社会反应中被数字化地抛在后面。
Social media data is increasingly being used to improve disaster resilience and response. Recent years have seen more efforts to integrate social media feeds with various demographic and socioeconomic variables to gain insight into the geographical and social disparities in social media use surrounding disasters. However, vulnerability concepts and indicators have been largely overlooked despite that they can offer aid in understanding and measuring the communities’ sensitivity to natural hazards and their capability of responding to and recovering from disasters. This study addresses a research question: Are vulnerable communities digitally left behind in social responses to natural disasters? Our empirical analysis is based on Hurricane Sandy and is conducted in a pre-disaster setting with spatial regression modeling. We observe that physically vulnerable communities had more intense social responses while socially vulnerable communities were digitally left behind in pre-disaster social responses to Hurricane Sandy.