Computational Bottom-Up Vulnerability Indicator for Low-Income Flood-Prone Urban Areas

Computational Bottom-Up Vulnerability Indicator for Low-Income Flood-Prone Urban Areas

This study presents the implementation of a methodology for the formulation of a vulnerability indicator for low-income urban territories in flood-prone areas, for two flood types: Sudden and slow. The methodology developed a computational assessment tool based on the Multiple Correspondence Analysi...

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Bibliographic Details
Main Authors: Edna M. Rodríguez-Gaviria, Sol Ochoa-Osorio, Alejandro Builes-Jaramillo, Verónica Botero-Fernández
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sustainability
Subjects:
multiple correspondence analysis
indicator
vulnerability
disaster risk reduction
data-driven methods to monitor and assess progress towards sustainable development goals
Online Access:https://www.mdpi.com/2071-1050/11/16/4341

Internet

https://www.mdpi.com/2071-1050/11/16/4341

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