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Giuliano Punzo

Biographic Data

ID6622395
NAMEGiuliano Punzo
GIVEN NAMESGiuliano
FAMILY NAMEPunzo
SIGNATUREPUNZO G
AFFILIATIONSUniversity of Sheffield
ORCID0000-0003-4246-9045
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Flow count data-driven static traffic assignment models through network modularity partitioning

    Open Access•Alexander Roocroft, Giuliano Punzo et al.•ARTICLE•Transportation•2025

    Accurate static traffic assignment models are important tools for the assessment of strategic transportation policies. In this article we present a novel approach to partition road networks through network modularity to produce data-driven static traffic assignment models from loop detector data on large road systems. The use of partitioning allows the estimation of the key model input of Origin–Destination demand matrices from flow counts alone.…

  • Regional economic resilience, trophic characteristics, and ecological analogies

    Open Access•Hadi Arbabi, Giuliano Punzo•ARTICLE•Papers of the Regional Science…•2023•Cited by: 1•References: 5

    Works on regional resilience have at times borrowed from the engineering and ecological framing of system resilience. In ecological contexts, system resilience is rooted in network structure and its characteristics. Here, we empirically investigate the relationship between regional economic resilience and regional trophic characteristics across regional and national boundaries. We consider 249 NUTS2 regions across 24 countries during the 2000–201…

  • Regional economic resilience, trophic characteristics, and ecological analogies

    Open Access•Hadi Arbabi, Giuliano Punzo•ARTICLE•Papers of the Regional Science…•2023•Cited by: 1•References: 5

    Works on regional resilience have at times borrowed from the engineering and ecological framing of system resilience. In ecological contexts, system resilience is rooted in network structure and its characteristics. Here, we empirically investigate the relationship between regional economic resilience and regional trophic characteristics across regional and national boundaries. We consider 249 NUTS2 regions across 24 countries during the 2000–201…

  • Regional economic resilience, trophic characteristics, and ecological analogies

    Open Access•Hadi Arbabi, Giuliano Punzo•ARTICLE•Papers of the Regional Science…•2023•Cited by: 1•References: 5

    Works on regional resilience have at times borrowed from the engineering and ecological framing of system resilience. In ecological contexts, system resilience is rooted in network structure and its characteristics. Here, we empirically investigate the relationship between regional economic resilience and regional trophic characteristics across regional and national boundaries. We consider 249 NUTS2 regions across 24 countries during the 2000–201…

  • Flow count data-driven static traffic assignment models through network modularity partitioning

    Open Access•Alexander Roocroft, Giuliano Punzo et al.•ARTICLE•Transportation•2025

    Accurate static traffic assignment models are important tools for the assessment of strategic transportation policies. In this article we present a novel approach to partition road networks through network modularity to produce data-driven static traffic assignment models from loop detector data on large road systems. The use of partitioning allows the estimation of the key model input of Origin–Destination demand matrices from flow counts alone.…

Algorithm (1 work) · Biology (1 work) · Computation (1 work) · Computer Science (1 work) · Data mining (1 work) · Ecology (1 work) · Economic and Technological Innovation (1 work) · Environmental resource management (1 work) · Environmental Science (1 work) · Flow network (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae