Impact estimation of flooding in Manila: An inoperability input-output approach

Natural disasters cause unexpected disruptions to the flow of goods and services in an economy. These disruptions may affect production in a single sector but sector interdependence guarantees that this will trickle down to other sectors, leading to increased damages. This study seeks to provide an...

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Main Authors: Yu, Krista Danielle S., Tan, Raymond Girard R., Santos, Joost R.
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Published: Animo Repository 2013
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/141
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-11402022-08-09T06:38:27Z Impact estimation of flooding in Manila: An inoperability input-output approach Yu, Krista Danielle S. Tan, Raymond Girard R. Santos, Joost R. Natural disasters cause unexpected disruptions to the flow of goods and services in an economy. These disruptions may affect production in a single sector but sector interdependence guarantees that this will trickle down to other sectors, leading to increased damages. This study seeks to provide an estimate of the impact of a disruption in the transportation sector in the largest island in the Philippines and its ripple effects. Through the inoperability input-output model (IIM), the degree of failure in a system can be quantified on a scale from 0 (normal state) to 1 (complete failure). Inoperability is initially measured for the transportation sector based on estimates from the World Bank coupled with region-specific input-output data to forecast the ripple effects to other sectors in the economy. Aside from inoperability, economic loss is also assessed. Sensitivity analysis is implemented to capture the uncertainties relating to varying magnitudes of transportation disruptions and associated recovery horizons. Results show that the sectors that were strongly affected, both in terms of inoperability and economic loss are mainly manufacturing, agriculture and private services. Nevertheless, slight divergence in other sectors may be observed. While this study focuses on a static estimation, dynamic extensions introducing time-varying perturbations on the transportation, and multi-sector disruptions may be explored. © 2013 IEEE. 2013-08-15T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/141 https://animorepository.dlsu.edu.ph/context/faculty_research/article/1140/type/native/viewcontent Faculty Research Work Animo Repository Delivery of goods--Philippines Transportation--Philippines Operations Research, Systems Engineering and Industrial Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Delivery of goods--Philippines
Transportation--Philippines
Operations Research, Systems Engineering and Industrial Engineering
spellingShingle Delivery of goods--Philippines
Transportation--Philippines
Operations Research, Systems Engineering and Industrial Engineering
Yu, Krista Danielle S.
Tan, Raymond Girard R.
Santos, Joost R.
Impact estimation of flooding in Manila: An inoperability input-output approach
description Natural disasters cause unexpected disruptions to the flow of goods and services in an economy. These disruptions may affect production in a single sector but sector interdependence guarantees that this will trickle down to other sectors, leading to increased damages. This study seeks to provide an estimate of the impact of a disruption in the transportation sector in the largest island in the Philippines and its ripple effects. Through the inoperability input-output model (IIM), the degree of failure in a system can be quantified on a scale from 0 (normal state) to 1 (complete failure). Inoperability is initially measured for the transportation sector based on estimates from the World Bank coupled with region-specific input-output data to forecast the ripple effects to other sectors in the economy. Aside from inoperability, economic loss is also assessed. Sensitivity analysis is implemented to capture the uncertainties relating to varying magnitudes of transportation disruptions and associated recovery horizons. Results show that the sectors that were strongly affected, both in terms of inoperability and economic loss are mainly manufacturing, agriculture and private services. Nevertheless, slight divergence in other sectors may be observed. While this study focuses on a static estimation, dynamic extensions introducing time-varying perturbations on the transportation, and multi-sector disruptions may be explored. © 2013 IEEE.
format text
author Yu, Krista Danielle S.
Tan, Raymond Girard R.
Santos, Joost R.
author_facet Yu, Krista Danielle S.
Tan, Raymond Girard R.
Santos, Joost R.
author_sort Yu, Krista Danielle S.
title Impact estimation of flooding in Manila: An inoperability input-output approach
title_short Impact estimation of flooding in Manila: An inoperability input-output approach
title_full Impact estimation of flooding in Manila: An inoperability input-output approach
title_fullStr Impact estimation of flooding in Manila: An inoperability input-output approach
title_full_unstemmed Impact estimation of flooding in Manila: An inoperability input-output approach
title_sort impact estimation of flooding in manila: an inoperability input-output approach
publisher Animo Repository
publishDate 2013
url https://animorepository.dlsu.edu.ph/faculty_research/141
https://animorepository.dlsu.edu.ph/context/faculty_research/article/1140/type/native/viewcontent
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