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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	EPJ data science Ročník 9; číslo 1; s. 36 - 20
Hlavní autori:	Yabe, Takahiro, Zhang, Yunchang, Ukkusuri, Satish V.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2020 Springer Nature B.V SpringerOpen
Predmet:	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 prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!