Quantifying the economic impact of disasters on businesses using human mobility data: a Bayesian causal inference approach

In recent years, extreme shocks, such as natural disasters, are increasing in both frequency and intensity, causing significant economic loss to many cities around the world. Quantifying the economic cost of local businesses after extreme shocks is important for post-disaster assessment and pre-disa...

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Vydáno v:	EPJ data science Ročník 9; číslo 1; s. 36 - 20
Hlavní autoři:	Yabe, Takahiro, Zhang, Yunchang, Ukkusuri, Satish V.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2020 Springer Nature B.V SpringerOpen
Témata:	Causal inference Complexity Computer Appl. in Social and Behavioral Sciences Computer Science Data-driven Science Disaster management Disaster resilience Economic impact Economics Emergency preparedness Human mobility Hurricanes Mobile phones Modeling and Theory Building Natural disasters Regular Article Causal inference Disaster resilience Human mobility Mobile phones
ISSN:	2193-1127, 2193-1127
On-line přístup:	Získat plný text
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