Moein Hemmati
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Biography and Research Information
OverviewAI-generated summary
Moein Hemmati's research focuses on the intersection of artificial intelligence, geographic information systems (GIS), and sustainable development, particularly in the contexts of human geography, transportation planning, and urban environments. His work investigates the application of geospatial artificial intelligence (GeoAI) and its potential to advance quantitative human geography, as evidenced by his systematic review on the subject. Hemmati also examines the environmental impact of building materials, comparing the embodied carbon footprint of mass timber structures with steel alternatives and analyzing operational carbon reduction strategies. His research extends to understanding the complex relationships between tourism, environmental challenges like climate change, and social equity, with a focus on destination management and neighborhood-scale analyses. Furthermore, he has explored the interplay of flood impacts on transportation systems, vulnerable communities, and early warning systems.
Metrics
- h-index: 6
- Publications: 11
- Citations: 270
Selected Publications
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A Systematic Review of GIS Evolution in Transportation Planning: Towards AI Integration (2025)
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Exploring the Role of Location-Based Games in Managing Tourist Destinations Under Climate Change Challenges: A Gap Analysis Review (2025)
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Assessing the Influence of Green Building Certification Programs on Energy Efficiency and Sustainable Development in the Middle East (2024)
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LCA Operational Carbon Reduction Based on Energy Strategies Analysis in a Mass Timber Building (2024)
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Unraveling the Tourism–Environment–Equity Nexus: A Neighborhood-Scale Analysis of Texas Urban Centers (2024)
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Comparison of Embodied Carbon Footprint of a Mass Timber Building Structure with a Steel Equivalent (2024)
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Unveiling the Interplay: Flood Impacts on Transportation, Vulnerable Communities, and Early Warning Systems (2024)
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Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review (2024)
Collaboration Network
Top Collaborators
- Comparison of Embodied Carbon Footprint of a Mass Timber Building Structure with a Steel Equivalent
- LCA Operational Carbon Reduction Based on Energy Strategies Analysis in a Mass Timber Building
- LCA Operational Carbon Reduction Based on Energy Strategies Analysis in a Mass Timber Building
- Unraveling the Tourism–Environment–Equity Nexus: A Neighborhood-Scale Analysis of Texas Urban Centers
- Exploring the Role of Location-Based Games in Managing Tourist Destinations Under Climate Change Challenges: <i>A Gap Analysis Review</i>
- A Systematic Review of GIS Evolution in Transportation Planning: Towards AI Integration
- Comparison of Embodied Carbon Footprint of a Mass Timber Building Structure with a Steel Equivalent
- LCA Operational Carbon Reduction Based on Energy Strategies Analysis in a Mass Timber Building
- Comparison of Embodied Carbon Footprint of a Mass Timber Building Structure with a Steel Equivalent
- LCA Operational Carbon Reduction Based on Energy Strategies Analysis in a Mass Timber Building
- Unraveling the Tourism–Environment–Equity Nexus: A Neighborhood-Scale Analysis of Texas Urban Centers
- A Systematic Review of GIS Evolution in Transportation Planning: Towards AI Integration
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
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