Are vulnerable communities digitally left behind in social responses to natural disasters? An evidence from Hurricane Sandy with Twitter data

被引：50

作者：

Wang, Zheye ^{[1
]}

Lam, Nina S. N. ^{[1
]}

Obradovich, Nick ^{[2
]}

Ye, Xinyue ^{[3
]}

机构：

[1] Louisiana State Univ, Coll Coast & Environm, Dept Environm Sci, Baton Rouge, LA 70803 USA

[2] MIT, Media Lab, Cambridge, MA 02139 USA

[3] New Jersey Inst Technol, Dept Informat Syst, Newark, NJ 07102 USA

来源：

APPLIED GEOGRAPHY | 2019年 / 108卷

基金：

美国国家科学基金会;

关键词：

Social media; Hurricane Sandy; Physical vulnerability; Social vulnerability; Twitter; MEDIA; PERCEPTIONS; PATTERNS; CLIMATE;

D O I：

10.1016/j.apgeog.2019.05.001

中图分类号：

P9 [自然地理学]; K9 [地理];

学科分类号：

0705 ; 070501 ;

摘要：

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.

引用

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