Peoples: Indicator-based tool to compute community resilience

O. Kammouh, S. Marasco, A. Zamani Noori, G.P. Cimellaro, S. Mahin

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)

Abstract

This paper introduces a new methodology to evaluate the resilience of communities. The methodology is based on the PEOPLES framework and it makes use of resilience indicators to evaluate community resilience. The methodology requires data for the indicators as input and returns a resilience function as an output. The resilience function shows the serviceability of the community for a given period of time following the disaster. This methodology has been implemented in the form of two software tools. The first one is a web app that is accessible at http://www.resiltronics.org/PEOPLES/login.php or http://borispio.ddns.net/PEOPLES/login.php while the other is a desktop software. The output quality provided by the tools is not compromised with their usage simplicity. Both softwares are meant to assist the user to use the introduced resilience framework by offering a user-friendly interface. As a case study, the resilience of the city of San Francisco city has been evaluated using both tools.

Original languageEnglish
Title of host publication11th National Conference on Earthquake Engineering 2018, NCEE 2018
Subtitle of host publicationIntegrating Science, Engineering, and Policy
PublisherEarthquake Engineering Research Institute
Pages3699-3710
Number of pages12
Volume6
ISBN (Electronic)9781510873254
Publication statusPublished - 2018
Externally publishedYes
Event11th National Conference on Earthquake Engineering 2018: Integrating Science, Engineering, and Policy, NCEE 2018 - Los Angeles, United States
Duration: 25 Jun 201829 Jun 2018

Conference

Conference11th National Conference on Earthquake Engineering 2018: Integrating Science, Engineering, and Policy, NCEE 2018
Country/TerritoryUnited States
CityLos Angeles
Period25/06/1829/06/18

Funding

The research leading to these results has received funding from the European Research Council under the Grant Agreement n° ERC_IDEAL RESCUE_637842 of the project IDEAL RESCUE— Integrated Design and Control of Sustainable Communities during Emergencies.

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