A Hybrid GeoAI Framework Integrating Smile Random Forest for Comprehensive Seismic Vulnerability Assessment: A Case Study of Mersin, Türkiye

Comprehensive Seismic Risk Zonation and Structural Fragility Assessment of Urban Building Typologies through Fuzzy and Probabilistic Modeling Approaches: Case Study of Muscat

This study presents a comprehensive framework for assessing seismic vulnerability in Al-Seeb’s diverse urban building stock, which includes reinforced concrete, confined and unreinforced masonry, dual systems, and nonengineered structures. A multicriteria microzonation approach using the analytical hierarchy proces...

Hybrid AI framework for comparative urban seismic vulnerability and risk assessment across multiple cities

Mapping Approaches for Assessing Regional Soil Liquefaction Potential: A Comparative Assessment

Seismic liquefaction poses a significant threat to infrastructure and human safety, making accurate regional-scale hazard assessment essential for effective disaster mitigation. This study systematically compares simple kriging (SK), ordinary kriging (OK), and sequential Gaussian simulation (SGS) for liquefaction poten...

Seismic Vulnerability Assessment and Risk Mitigation of Historical Buildings in Lugoj City Center, Romania

This paper examines the seismic vulnerability of historical buildings located in Lugoj City Center, an urban area of the Banat region in Western Romania, known for repeated earthquakes and rich architectural heritage. This research responds to the need for fast and practical means to help with the prioritization of ris...

Flood Hazard and Risk Assessment of Lower Magat River Basin Using Geospatial Technologies: Basis for Developing Flood Hazard Map

This study provides a comprehensive geospatial assessment of flood susceptibility in the Lower Magat River Basin, focusing on the municipalities of Solano, Bayombong, Quezon, and Bagabag in Nueva Vizcaya. The study addresses the escalating threat of inundation by utilizing the Analytic Hierarchy Process (AHP) to evalua...

A Hybrid Multi-Criteria Decision-Making Model for Assessing Social Vulnerability to Natural Disasters

Reducing the harm caused by natural disasters requires an accurate, defensible assessment of where social vulnerability is concentrated. Existing social vulnerability studies rely predominantly on conventional statistical techniques, such as principal component analyses and simple additive indices, and rarely derive in...