Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 24, issue 7
Articles | Volume 24, issue 7
https://doi.org/10.5194/nhess-24-2285-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-2285-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 7
Research article
 | 
04 Jul 2024
Research article |  | 04 Jul 2024

Quantifying hazard resilience by modeling infrastructure recovery as a resource-constrained project scheduling problem

Taylor Glen Johnson, Jorge Leandro, and Divine Kwaku Ahadzie

Viewed

Total article views: 4,872 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,344 1,404 124 4,872 173 241
  • HTML: 3,344
  • PDF: 1,404
  • XML: 124
  • Total: 4,872
  • BibTeX: 173
  • EndNote: 241
Views and downloads (calculated since 18 Jul 2023)
Cumulative views and downloads (calculated since 18 Jul 2023)

Viewed (geographical distribution)

Total article views: 4,872 (including HTML, PDF, and XML) Thereof 4,771 with geography defined and 101 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 02 May 2026
Download
Short summary
Reliance on infrastructure creates vulnerabilities to disruptions caused by natural hazards. To assess the impacts of natural hazards on the performance of infrastructure, we present a framework for quantifying resilience and develop a model of recovery based upon an application of project scheduling under resource constraints. The resilience framework and recovery model were applied in a case study to assess the resilience of building infrastructure to flooding hazards in Accra, Ghana.
Read more
Share
Altmetrics
Final-revised paper
Preprint