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Massimiliano Pittore

Biographic Data

ID7999607
NAMEMassimiliano Pittore
GIVEN NAMESMassimiliano
FAMILY NAMEPittore
SIGNATUREPITTORE M
AFFILIATIONSEurac Research
ORCID0000-0003-4940-3444
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Representing multi-hazard events in urban systems

    Open Access•Cristine Griffo, Massimiliano Pittore•ARTICLE•International Journal of Disaster…•2026

    The United Nations World Cities Report 2022 predicts that global urbanization will increase from 56% in 2021 to 68% in 2050. This will lead to consequences, including the impact of natural, environmental, and anthropogenic risks on cities. These risks will manifest as physical damage to buildings and adverse effects on services to the population and socio-economic structures, as well as losses of life. Cities are adaptive complex systems with int…

  • Looking at the Water-Energy-Food nexus through the lens of Ecosystem Services

    Open Access•Beatrice Sambo, Anna Sperotto et al.•ARTICLE•Environmental Research Letters•2024

    Looking at the Water-Energy-Food nexus through the lens of Ecosystem Services: a new perspective, Sambo, Beatrice, Sperotto, Anna, Torresan, Silvia, Pittore, Massimiliano, Zebisch, Marc, Critto, Andrea

  • Towards a Sensitivity Analysis in Seismic Risk with Probabilistic Building Exposure Models

    Open Access•Juan Gomez-Zapata, Raquel Zafrir et al.•ARTICLE•ISPRS International Journal of…•2022

    Efforts have been made in the past to enhance building exposure models on a regional scale with increasing spatial resolutions by integrating different data sources. This work follows a similar path and focuses on the downscaling of the existing SARA exposure model that was proposed for the residential building stock of the communes of Valparaíso and Viña del Mar (Chile). Although this model allowed great progress in harmonising building classes …

  • Modelling exposure and vulnerability from post-earthquake survey data with risk-oriented taxonomies

    Open Access•Giuseppe Nicodemo, Massimiliano Pittore et al.•ARTICLE•International Journal of Disaster…•2020

No prominent works on this page.

  • Modelling exposure and vulnerability from post-earthquake survey data with risk-oriented taxonomies

    Open Access•Giuseppe Nicodemo, Massimiliano Pittore et al.•ARTICLE•International Journal of Disaster…•2020

  • Towards a Sensitivity Analysis in Seismic Risk with Probabilistic Building Exposure Models

    Open Access•Juan Gomez-Zapata, Raquel Zafrir et al.•ARTICLE•ISPRS International Journal of…•2022

    Efforts have been made in the past to enhance building exposure models on a regional scale with increasing spatial resolutions by integrating different data sources. This work follows a similar path and focuses on the downscaling of the existing SARA exposure model that was proposed for the residential building stock of the communes of Valparaíso and Viña del Mar (Chile). Although this model allowed great progress in harmonising building classes …

  • Looking at the Water-Energy-Food nexus through the lens of Ecosystem Services

    Open Access•Beatrice Sambo, Anna Sperotto et al.•ARTICLE•Environmental Research Letters•2024

    Looking at the Water-Energy-Food nexus through the lens of Ecosystem Services: a new perspective, Sambo, Beatrice, Sperotto, Anna, Torresan, Silvia, Pittore, Massimiliano, Zebisch, Marc, Critto, Andrea

  • Representing multi-hazard events in urban systems

    Open Access•Cristine Griffo, Massimiliano Pittore•ARTICLE•International Journal of Disaster…•2026

    The United Nations World Cities Report 2022 predicts that global urbanization will increase from 56% in 2021 to 68% in 2050. This will lead to consequences, including the impact of natural, environmental, and anthropogenic risks on cities. These risks will manifest as physical damage to buildings and adverse effects on services to the population and socio-economic structures, as well as losses of life. Cities are adaptive complex systems with int…

Computer Science (3 works) · Engineering (2 works) · Artificial Intelligence (1 work) · Business (1 work) · Civil engineering (1 work) · Computer security (1 work) · Construction engineering (1 work) · Data mining (1 work) · Data science (1 work) · Disaster Management and Resilience (1 work)

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