An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in Colombia
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1108/JHLSCM-03-2020-0018 http://hdl.handle.net/11449/209222 |
Resumo: | Purpose This 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/approach A 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. Findings Disaster 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/implications The results need a qualitative or case study validation at the community/district level. Practical implications We 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/value Entropy-based metrics are not widely used in humanitarian logistics literature, as well as empirical data-driven techniques. |
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An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in ColombiaUncertaintyRiskEntropyPreparednessDivergencePurpose This 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/approach A 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. Findings Disaster 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/implications The results need a qualitative or case study validation at the community/district level. Practical implications We 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/value Entropy-based metrics are not widely used in humanitarian logistics literature, as well as empirical data-driven techniques.Centro de Investigacion de la Universidad del Pacifico (CIUP - Research Center of the Universidad del Pacifico)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Univ Nacl Abierta Distancia, Bogota, ColombiaUniv Pacifico, Lima, PeruSao Paulo State Univ, Dept Environm Engn, Sao Jose Dos Campos, BrazilUniv Sao Paulo, Grad Program Logist Syst Engn, Sao Paulo, BrazilSao Paulo State Univ, Dept Environm Engn, Sao Jose Dos Campos, BrazilCAPES: Defesa 88887.387760/2019-00Emerald Group Publishing LtdUniv Nacl Abierta DistanciaUniv PacificoUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Renteria, RafaelChong, MarioBrito Junior, Irineu de [UNESP]Luna, AnaQuiliche, Renato2021-06-25T11:52:01Z2021-06-25T11:52:01Z2021-02-18info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article29http://dx.doi.org/10.1108/JHLSCM-03-2020-0018Journal Of Humanitarian Logistics And Supply Chain Management. Bingley: Emerald Group Publishing Ltd, 29 p., 2021.2042-6747http://hdl.handle.net/11449/20922210.1108/JHLSCM-03-2020-0018WOS:000620109900001Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Humanitarian Logistics And Supply Chain Managementinfo:eu-repo/semantics/openAccess2021-10-23T19:23:40Zoai:repositorio.unesp.br:11449/209222Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:12:45.306622Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in Colombia |
title |
An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in Colombia |
spellingShingle |
An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in Colombia Renteria, Rafael Uncertainty Risk Entropy Preparedness Divergence |
title_short |
An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in Colombia |
title_full |
An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in Colombia |
title_fullStr |
An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in Colombia |
title_full_unstemmed |
An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in Colombia |
title_sort |
An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in Colombia |
author |
Renteria, Rafael |
author_facet |
Renteria, Rafael Chong, Mario Brito Junior, Irineu de [UNESP] Luna, Ana Quiliche, Renato |
author_role |
author |
author2 |
Chong, Mario Brito Junior, Irineu de [UNESP] Luna, Ana Quiliche, Renato |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Univ Nacl Abierta Distancia Univ Pacifico Universidade Estadual Paulista (Unesp) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Renteria, Rafael Chong, Mario Brito Junior, Irineu de [UNESP] Luna, Ana Quiliche, Renato |
dc.subject.por.fl_str_mv |
Uncertainty Risk Entropy Preparedness Divergence |
topic |
Uncertainty Risk Entropy Preparedness Divergence |
description |
Purpose This 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/approach A 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. Findings Disaster 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/implications The results need a qualitative or case study validation at the community/district level. Practical implications We 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/value Entropy-based metrics are not widely used in humanitarian logistics literature, as well as empirical data-driven techniques. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T11:52:01Z 2021-06-25T11:52:01Z 2021-02-18 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1108/JHLSCM-03-2020-0018 Journal Of Humanitarian Logistics And Supply Chain Management. Bingley: Emerald Group Publishing Ltd, 29 p., 2021. 2042-6747 http://hdl.handle.net/11449/209222 10.1108/JHLSCM-03-2020-0018 WOS:000620109900001 |
url |
http://dx.doi.org/10.1108/JHLSCM-03-2020-0018 http://hdl.handle.net/11449/209222 |
identifier_str_mv |
Journal Of Humanitarian Logistics And Supply Chain Management. Bingley: Emerald Group Publishing Ltd, 29 p., 2021. 2042-6747 10.1108/JHLSCM-03-2020-0018 WOS:000620109900001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal Of Humanitarian Logistics And Supply Chain Management |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
29 |
dc.publisher.none.fl_str_mv |
Emerald Group Publishing Ltd |
publisher.none.fl_str_mv |
Emerald Group Publishing Ltd |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128618615799808 |