Opabola, Eyitayo A;
Galasso, Carmine;
(2024)
A probabilistic framework for post-disaster recovery modeling of buildings and electric power networks in developing countries.
Reliability Engineering and System Safety
, 242
, Article 109679. 10.1016/j.ress.2023.109679.
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Abstract
Post-disaster recovery is a significant challenge, especially in developing countries. Various technical, environmental, socioeconomic, political, and cultural factors substantially influence post-disaster recovery. As a result, methodologies relevant in developed nations may not be directly applicable in Global South contexts. This study introduces a probabilistic framework for modeling the post-disaster recovery of buildings and electric power networks (EPN) in developing countries. The proposed framework combines a building-level assessment of individual assets with a community-level assessment of EPNs to evaluate a building portfolio's post-event functionality state. As part of the framework, a stochastic network analysis approach is proposed to estimate the recovery time of damaged buildings while accounting for technical, environmental, socioeconomic, political, and cultural factors, quantified using data gathered from past events. Similarly, a probabilistic modeling approach is proposed to quantify the EPN's initial post-event outage levels. Specifically, empirical formulations for estimating the recovery time of an EPN as a function of its initial post- event outage levels are calibrated using post-event data from developing countries. A case study is presented to illustrate the application of the proposed framework to model the post-earthquake recovery of a synthetic low-income residential community. The analysis showed that negative technical, environmental, socioeconomic, political, and cultural factors could amplify the reconstruction time of damaged buildings by a factor of almost three. The proposed framework can support decision-makers in disaster planning and management strategies for vulnerable low-income communities.
| Type: | Article |
|---|---|
| Title: | A probabilistic framework for post-disaster recovery modeling of buildings and electric power networks in developing countries |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.ress.2023.109679 |
| Publisher version: | https://doi.org/10.1016/j.ress.2023.109679 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | post-earthquake recovery, developing countries, resilience, electric power networks, decision support |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10178164 |
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