Integrated platform to assess seismic resilience at the community level

Sebastiano Marasco; Alessandro Cardoni; Ali Zamani Noori; Omar Kammouh; Marco Domaneschi; Gian Paolo Cimellaro

doi:10.1016/j.scs.2020.102506

Integrated platform to assess seismic resilience at the community level

Sebastiano Marasco
, Alessandro Cardoni
, Ali Zamani Noori
, Omar Kammouh
, Marco Domaneschi
, Gian Paolo Cimellaro (Corresponding author)

Research output: Contribution to journal › Article › Academic › peer-review

97 Citations (SciVal)

536 Downloads (Pure)

Abstract

Due to the increasing frequency of disastrous events, the challenge of creating large-scale simulation models has become of major significance. Indeed, several simulation strategies and methodologies have been recently developed to explore the response of communities to natural disasters. Such models can support decision-makers during emergency operations allowing to create a global view of the emergency identifying consequences. An integrated platform that implements a community hybrid model with real-time simulation capabilities is presented in this paper. The platform's goal is to assess seismic resilience and vulnerability of critical infrastructures (e.g., built environment, power grid, socio-technical network) at the urban level, taking into account their interdependencies. Finally, different seismic scenarios have been applied to a large-scale virtual city model. The platform proved to be effective to analyze the emergency and could be used to implement countermeasures that improve community response and overall resilience.

Original language	English
Article number	102506
Number of pages	20
Journal	Sustainable Cities and Society
Volume	64
DOIs	https://doi.org/10.1016/j.scs.2020.102506
Publication status	Published - Jan 2021
Externally published	Yes

Bibliographical note

Funding Information:
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.

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.

Funders	Funder number
European Union's Horizon 2020 - Research and Innovation Framework Programme	637842
European Union's Horizon 2020 - Research and Innovation Framework Programme

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities

Keywords

Disaster resilience
Urban community
Interdependence analysis
Critical infrastructure
Damage assessment
Multiprocessing

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10.1016/j.scs.2020.102506

published versionFinal published version, 28.1 MBLicence: TAVERNE

Cite this

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title = "Integrated platform to assess seismic resilience at the community level",

abstract = "Due to the increasing frequency of disastrous events, the challenge of creating large-scale simulation models has become of major significance. Indeed, several simulation strategies and methodologies have been recently developed to explore the response of communities to natural disasters. Such models can support decision-makers during emergency operations allowing to create a global view of the emergency identifying consequences. An integrated platform that implements a community hybrid model with real-time simulation capabilities is presented in this paper. The platform's goal is to assess seismic resilience and vulnerability of critical infrastructures (e.g., built environment, power grid, socio-technical network) at the urban level, taking into account their interdependencies. Finally, different seismic scenarios have been applied to a large-scale virtual city model. The platform proved to be effective to analyze the emergency and could be used to implement countermeasures that improve community response and overall resilience.",

keywords = "Disaster resilience, Urban community, Interdependence analysis, Critical infrastructure, Damage assessment, Multiprocessing",

author = "Sebastiano Marasco and Alessandro Cardoni and \{Zamani Noori\}, Ali and Omar Kammouh and Marco Domaneschi and Cimellaro, \{Gian Paolo\}",

note = "Funding Information: 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{\textemdash} Integrated DEsign and control of Sustainable CommUnities during Emergencies. ",

year = "2021",

month = jan,

doi = "10.1016/j.scs.2020.102506",

language = "English",

volume = "64",

journal = "Sustainable Cities and Society",

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AU - Marasco, Sebastiano

AU - Cardoni, Alessandro

AU - Zamani Noori, Ali

AU - Kammouh, Omar

AU - Domaneschi, Marco

AU - Cimellaro, Gian Paolo

N1 - Funding Information: 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.

PY - 2021/1

Y1 - 2021/1

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AB - Due to the increasing frequency of disastrous events, the challenge of creating large-scale simulation models has become of major significance. Indeed, several simulation strategies and methodologies have been recently developed to explore the response of communities to natural disasters. Such models can support decision-makers during emergency operations allowing to create a global view of the emergency identifying consequences. An integrated platform that implements a community hybrid model with real-time simulation capabilities is presented in this paper. The platform's goal is to assess seismic resilience and vulnerability of critical infrastructures (e.g., built environment, power grid, socio-technical network) at the urban level, taking into account their interdependencies. Finally, different seismic scenarios have been applied to a large-scale virtual city model. The platform proved to be effective to analyze the emergency and could be used to implement countermeasures that improve community response and overall resilience.

KW - Disaster resilience

KW - Urban community

KW - Interdependence analysis

KW - Critical infrastructure

KW - Damage assessment

KW - Multiprocessing

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DO - 10.1016/j.scs.2020.102506

M3 - Article

SN - 2210-6707

VL - 64

JO - Sustainable Cities and Society

JF - Sustainable Cities and Society

M1 - 102506

ER -

Integrated platform to assess seismic resilience at the community level

Abstract

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

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