Assessing a Vulnerability Index for Healthcare Service Facilities: A Logistics Perspective

Assessing a Vulnerability Index for Healthcare Service Facilities: A Logistics Perspective

Alvaro Talavera, Michelle Rodríguez, Andrés Regal
Copyright: © 2019 |Pages: 13
ISBN13: 9781522581604|ISBN10: 152258160X|EISBN13: 9781522581611
DOI: 10.4018/978-1-5225-8160-4.ch018
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MLA

Talavera, Alvaro, et al. "Assessing a Vulnerability Index for Healthcare Service Facilities: A Logistics Perspective." Handbook of Research on Urban and Humanitarian Logistics, edited by Jesus Gonzalez-Feliu, et al., IGI Global, 2019, pp. 347-359. https://doi.org/10.4018/978-1-5225-8160-4.ch018

APA

Talavera, A., Rodríguez, M., & Regal, A. (2019). Assessing a Vulnerability Index for Healthcare Service Facilities: A Logistics Perspective. In J. Gonzalez-Feliu, M. Chong, J. Vargas Florez, & J. Padilla Solis (Eds.), Handbook of Research on Urban and Humanitarian Logistics (pp. 347-359). IGI Global. https://doi.org/10.4018/978-1-5225-8160-4.ch018

Chicago

Talavera, Alvaro, Michelle Rodríguez, and Andrés Regal. "Assessing a Vulnerability Index for Healthcare Service Facilities: A Logistics Perspective." In Handbook of Research on Urban and Humanitarian Logistics, edited by Jesus Gonzalez-Feliu, et al., 347-359. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8160-4.ch018

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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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