Gestión de la logística humanitaria en las etapas previas al desastre: revisión sistemática de la literatura

López-Vargas, Juan Camilo; Cárdenas-Aguirre, Diana María

doi:10.19053/20278306.v7.n2.2017.6094

Cited by 4 publications

(1 citation statement)

References 52 publications

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“…Furthermore, the multidimensionality of the study allows us to draw alternative policies from the results and propose more cost-effective (in terms of time and economic cost) interventions that contribute to risk mitigation. Based on our results, for the community/districts analyzed, a territorial framework for disaster vulnerability mitigation can be established, allowing for targeted risk mitigation (López-Vargas and Cárdenas-Aguirre, 2017).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in Colombia

Rentería

Chong

Brito

et al. 2021

JHLSCM

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PurposeThis paper aims to design a vulnerability assessment model considering the multidimensional and systematic approach to disaster risk and vulnerability. This model serves to both risk mitigation and disaster preparedness phases of humanitarian logistics.Design/methodology/approachA survey of 27,218 households in Pueblo Rico and Dosquebradas was conducted to obtain information about disaster risk for landslides, floods and collapses. We adopted a cross entropy-based approach for the measure of disaster vulnerability (Kullback–Leibler divergence), and a maximum-entropy estimation for the reconstruction of risk a priori categorization (logistic regression). The capabilities approach of Sen supported theoretically our multidimensional assessment of disaster vulnerability.FindingsDisaster vulnerability is shaped by economic, such as physical attributes of households, and health indicators, which are in specific morbidity indicators that seem to affect vulnerability outputs. Vulnerability is heterogeneous between communities/districts according to formal comparisons of Kullback–Leibler divergence. Nor social dimension, neither chronic illness indicators seem to shape vulnerability, at least for Pueblo Rico and Dosquebradas.Research limitations/implicationsThe results need a qualitative or case study validation at the community/district level.Practical implicationsWe discuss how risk mitigation policies and disaster preparedness strategies can be driven by empirical results. For example, the type of stock to preposition can vary according to the disaster or the kind of alternative policies that can be formulated on the basis of the strong relationship between morbidity and disaster risk.Originality/valueEntropy-based metrics are not widely used in humanitarian logistics literature, as well as empirical data-driven techniques.

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Section: Theoretical Frameworkmentioning

confidence: 99%