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Tamas Fekete

Biographic Data

ID9442132
NAMETamas Fekete
GIVEN NAMESTamas
FAMILY NAMEFekete
SIGNATUREFEKETE T
AFFILIATIONSConstructor University
ORCID0000-0002-7513-2839
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Leveraging causal AI to uncover the dynamics in sustainable urban transport

    Open Access•Tamas Fekete, Girum Mengistu et al.•ARTICLE•Sustainable Cities and Society•2025

    The importance of developing sustainable urban transportation systems to protect the environment is increasingly recognized worldwide, particularly within the European Union. In the era of digitalization, data-driven approaches are crucial for informed decision-making. This study introduces a methodology leveraging causal artificial intelligence (causal AI) to uncover cause-and-effect relationships in urban transport data. Unlike traditional meth…

No prominent works on this page.

  • Leveraging causal AI to uncover the dynamics in sustainable urban transport

    Open Access•Tamas Fekete, Girum Mengistu et al.•ARTICLE•Sustainable Cities and Society•2025

    The importance of developing sustainable urban transportation systems to protect the environment is increasingly recognized worldwide, particularly within the European Union. In the era of digitalization, data-driven approaches are crucial for informed decision-making. This study introduces a methodology leveraging causal artificial intelligence (causal AI) to uncover cause-and-effect relationships in urban transport data. Unlike traditional meth…

Bike sharing (1 work) · Computer Science (1 work) · Economic geography (1 work) · Engineering (1 work) · Geography (1 work) · Geology (1 work) · Human Mobility and Location-Based Analysis (1 work) · Sociology (1 work) · Transport engineering (1 work) · Transportation Planning and Optimization (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