Moein Hemmati Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Fayetteville
unknown
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Biography and Research Information
OverviewAI-generated summary
Moein Hemmati's research investigates the intersection of geographic information systems (GIS), artificial intelligence (AI), and quantitative human geography. His work includes systematic reviews on the evolution of GIS in transportation planning and the landscape of geospatial AI applications. Hemmati has also explored the embodied carbon footprint of building structures, comparing mass timber with steel alternatives, and analyzed operational carbon reduction strategies in mass timber buildings. His research extends to the role of location-based games in managing tourist destinations under climate change and the complex relationships between tourism, the environment, and equity in urban centers. He has also examined the impacts of flooding on transportation, vulnerable communities, and early warning systems. Hemmati has published nine papers with 137 citations and an h-index of 3. He collaborates with Michaelmary Chukwu at the University of Arkansas at Fayetteville.
Metrics
- h-index: 3
- Publications: 9
- Citations: 137
Selected Publications
- A Systematic Review of GIS Evolution in Transportation Planning: Towards AI Integration (2025) DOI
- Exploring the Role of Location-Based Games in Managing Tourist Destinations Under Climate Change Challenges: <i>A Gap Analysis Review</i> (2025) DOI
- Assessing the Influence of Green Building Certification Programs on Energy Efficiency and Sustainable Development in the Middle East (2024) DOI
- LCA Operational Carbon Reduction Based on Energy Strategies Analysis in a Mass Timber Building (2024) DOI
- Unraveling the Tourism–Environment–Equity Nexus: A Neighborhood-Scale Analysis of Texas Urban Centers (2024) DOI
- Comparison of Embodied Carbon Footprint of a Mass Timber Building Structure with a Steel Equivalent (2024) DOI
- Unveiling the Interplay: Flood Impacts on Transportation, Vulnerable Communities, and Early Warning Systems (2024) DOI
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review (2024) DOI
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