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Loghman Khodakarami

Biographic Data

ID7569393
NAMELoghman Khodakarami
GIVEN NAMESLoghman
FAMILY NAMEKhodakarami
SIGNATUREKHODAKARAMI L
AFFILIATIONSKoya University
ORCID0000-0003-1992-4142
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • An Integrated Geospatial Decision Framework for Micro‐Scale Air and Noise Pollution Hazard Mapping

    Open Access•Loghman Khodakarami, Ali Reza Soffianian et al.•ARTICLE•Sustainable Development•2026

    Urban air and noise pollution represent critical challenges for sustainable city management, especially in rapidly industrializing regions. Traditional monitoring systems often fail to capture the fine‐scale spatial heterogeneity that determines actual exposure levels. This research develops an integrated geospatial decision framework that combines Geographically Weighted Regression (GWR) and Multi‐Criteria Decision‐Making (MCDM) methods to map a…

  • Urban sustainability assessment at the neighborhood scale

    Open Access•Loghman Khodakarami, Saeid Pourmanafi et al.•ARTICLE•Sustainable Cities and Society•2023

  • Enhancing ecotourism site suitability assessment using multi-criteria evaluation and NSGA-II

    Open Access•Rojin Akbari, Saeid Pourmanafi et al.•ARTICLE•Environment Development and…•2023

No prominent works on this page.

  • Urban sustainability assessment at the neighborhood scale

    Open Access•Loghman Khodakarami, Saeid Pourmanafi et al.•ARTICLE•Sustainable Cities and Society•2023

  • Enhancing ecotourism site suitability assessment using multi-criteria evaluation and NSGA-II

    Open Access•Rojin Akbari, Saeid Pourmanafi et al.•ARTICLE•Environment Development and…•2023

  • An Integrated Geospatial Decision Framework for Micro‐Scale Air and Noise Pollution Hazard Mapping

    Open Access•Loghman Khodakarami, Ali Reza Soffianian et al.•ARTICLE•Sustainable Development•2026

    Urban air and noise pollution represent critical challenges for sustainable city management, especially in rapidly industrializing regions. Traditional monitoring systems often fail to capture the fine‐scale spatial heterogeneity that determines actual exposure levels. This research develops an integrated geospatial decision framework that combines Geographically Weighted Regression (GWR) and Multi‐Criteria Decision‐Making (MCDM) methods to map a…

Engineering (2 works) · Environmental planning (2 works) · Environmental resource management (2 works) · Environmental Science (2 works) · Geography (2 works) · Multiple-criteria decision analysis (2 works) · Soil and Land Suitability Analysis (2 works) · Air pollution (1 work) · Air Quality and Health Impacts (1 work) · Algorithm (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