A stochastic programming approach to enhance the resilience of infrastructure under weather‐related risk

ABSTRACT The presented methodology results in an optimal portfolio of resilience‐oriented resource allocation under weather‐related risks. The pre‐event mitigations improve the capacity of the transportation system to absorb shocks from future natural hazards, contributing to risk reduction. The pos...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Computer-aided civil and infrastructure engineering Ročník 38; číslo 4; s. 411 - 432
Hlavní autori:	Zhang, Ning, Alipour, Alice
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken Wiley Subscription Services, Inc 01.03.2023
Predmet:	Computing time Decisions Hazards Heuristic methods Microbalances Optimization Recovery plans Redundancy Resilience Resource allocation Retrofitting Risk management Stochastic programming Transportation networks Transportation systems Weather
ISSN:	1093-9687, 1467-8667
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!