Assessing a vulnerability index for healthcare service facilities: A logistics perspective

Álvaro Talavera; Michelle Rodríguez; Andres Regal

doi:10.4018/978-1-5225-8160-4.ch018

Assessing a vulnerability index for healthcare service facilities: A logistics perspective

Álvaro Talavera, Michelle Rodríguez, Andres Regal

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The rapid growth of cities in the 21st century along with the congestion of road infrastructure and high population density makes urban spaces highly vulnerable to disasters. After a disaster occurs, health services infrastructure is critical to support medical operations for injured patients. This chapter presents a methodology for evaluating the vulnerability of health services infrastructure from a logistics perspective, based on several layers of information such as population density, road congestion, and hospital location. The methodology uses computational and business intelligence techniques such as fuzzy inference systems, geographic information systems, graph theory, and visualization. The purpose of this methodology is to generate a unique score of vulnerability that identifies each health services facility, providing decision makers with the analytical framework of a spatial multicriteria analysis to evaluate their options for facing a disaster.

Original language	English
Title of host publication	Handbook of research on urban and humanitarian gogistics
Editors	Jesus Gonzalez-Feliu, Mario Chong, Jorge Vargas Florez, Julio Padilla Solis
Place of Publication	Hershey
Publisher	IGI Global Publishing
Pages	347-359
ISBN (Electronic)	978-1-5225-8161-1
ISBN (Print)	978-1-5225-8160-4
DOIs	https://doi.org/10.4018/978-1-5225-8160-4.ch018
State	Published - 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.4018/978-1-5225-8160-4.ch018

Cite this

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title = "Assessing a vulnerability index for healthcare service facilities: A logistics perspective",

abstract = "The rapid growth of cities in the 21st century along with the congestion of road infrastructure and high population density makes urban spaces highly vulnerable to disasters. After a disaster occurs, health services infrastructure is critical to support medical operations for injured patients. This chapter presents a methodology for evaluating the vulnerability of health services infrastructure from a logistics perspective, based on several layers of information such as population density, road congestion, and hospital location. The methodology uses computational and business intelligence techniques such as fuzzy inference systems, geographic information systems, graph theory, and visualization. The purpose of this methodology is to generate a unique score of vulnerability that identifies each health services facility, providing decision makers with the analytical framework of a spatial multicriteria analysis to evaluate their options for facing a disaster. ",

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Assessing a vulnerability index for healthcare service facilities: A logistics perspective. / Talavera, Álvaro ; Rodríguez, Michelle; Regal, Andres.
Handbook of research on urban and humanitarian gogistics. ed. / Jesus Gonzalez-Feliu; Mario Chong; Jorge Vargas Florez; Julio Padilla Solis. Hershey: IGI Global Publishing, 2019. p. 347-359.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

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AB - The rapid growth of cities in the 21st century along with the congestion of road infrastructure and high population density makes urban spaces highly vulnerable to disasters. After a disaster occurs, health services infrastructure is critical to support medical operations for injured patients. This chapter presents a methodology for evaluating the vulnerability of health services infrastructure from a logistics perspective, based on several layers of information such as population density, road congestion, and hospital location. The methodology uses computational and business intelligence techniques such as fuzzy inference systems, geographic information systems, graph theory, and visualization. The purpose of this methodology is to generate a unique score of vulnerability that identifies each health services facility, providing decision makers with the analytical framework of a spatial multicriteria analysis to evaluate their options for facing a disaster.

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PB - IGI Global Publishing

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Assessing a vulnerability index for healthcare service facilities: A logistics perspective

Abstract

UN SDGs

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Handbook of research on urban and humanitarian logistics

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