Academic Journal

P-graph approach to allocation of inoperability in urban infrastructure systems

Bibliographic Details
Title: P-graph approach to allocation of inoperability in urban infrastructure systems
Authors: Tan, Raymond Girard R., Aviso, Kathleen B., Yu, Krista Danielle S., Promentilla, Michael Angelo B., Santos, Joost R.
Source: Faculty Research Work
Publisher Information: Animo Repository
Publication Year: 2015
Subject Terms: Building sites—Risk assessment, Risk assessment, Civil and Environmental Engineering
Description: Copyright © 2015, AIDIC Servizi S.r.l.,. Inoperability input-output modeling (IIM) was introduced as a methodology for determining ripple effects propagating through interdependent infrastructure systems as a result of disruptive events such as natural disasters. It is based on the dimensionless metric of inoperability which indicates degree of failure along a scale ranging from 0 to 1. Previous approaches have focused on calibration of interdependencies based on records of economic statistics; IIM has also been used mainly for identifying the vulnerability and criticality of system components. More recent work has demonstrated that the IIM framework can be the basis for optimal allocation of inoperabiltiy in order to minimize damage caused by disruptions. In this work, we propose a P-graph methodology derived from IIM. Interdependency coefficients are integrated within a P-graph model to enable limited capacity of infrastructure following a disruption to be optimally allocated. We demonstrate this methodology using a literature case study.
Document Type: text
File Description: application/pdf
Language: unknown
Relation: https://animorepository.dlsu.edu.ph/faculty_research/286; https://animorepository.dlsu.edu.ph/context/faculty_research/article/1285/viewcontent/CET1545224.pdf
DOI: 10.3303/CET1545224
Availability: https://animorepository.dlsu.edu.ph/faculty_research/286
https://doi.org/10.3303/CET1545224
https://animorepository.dlsu.edu.ph/context/faculty_research/article/1285/viewcontent/CET1545224.pdf
Accession Number: edsbas.9969A08E
Database: BASE
Description
DOI:10.3303/CET1545224