Arghistani, Mustafa
 
(2024)
Inclusive Resilience: evaluating earthquake risk in San Diego’s vulnerable communities.
[Laurea magistrale], Università di Bologna, Corso di Studio in 
Civil engineering [LM-DM270], Documento full-text non disponibile
  
 
  
  
        
        
	
  
  
  
  
  
  
  
    
      Il full-text non è disponibile per scelta dell'autore.
      
        (
Contatta l'autore)
      
    
  
    
  
  
    
      Abstract
      Natural disasters pose significant threats to coastal cities on the West Coast, like San Diego, which are susceptible to both earthquakes and coastal flooding. This research aims to create a detailed data inventory for San Diego, with particular emphasis on assessing the vulnerability of bridges, houses and understanding the cascading effects of damage to transportation infrastructure on recovery efforts and its socioeconomic impact. HAZUS-MH, a natural hazard loss estimation methodology developed by the Federal Emergency Management Agency in partnership with the National Institute of Building Sciences is a promising tool that facilitates the integration of various datasets and modeling capabilities, enabling a comprehensive analysis of disaster scenarios. The modeling of earthquake scenarios will consider factors such as ground motion, soil types, and building vulnerabilities. By conducting scenarios, the research will provide insights into the potential compound impacts of earthquakes and their socioeconomic effects, which are often overlooked but can be particularly devastating. To this end, a comprehensive data inventory for San Diego will be generated first, including geospatial information, building characteristics, infrastructure details, and environmental factors. The data inventory will serve as the foundation for creating realistic simulations of earthquakes. The focus will be given to the civil and transportation infrastructure, as bridges play a critical role in disaster resilience, being essential for maintaining connectivity and facilitating emergency response. Understanding how damage to transportation infrastructure affects recovery efforts is crucial for efficient resource allocation and rapid restoration of essential services.
This comparative analysis provides insights into the impact of earthquakes on the socioeconomic situation of the population living in the area.
     
    
      Abstract
      Natural disasters pose significant threats to coastal cities on the West Coast, like San Diego, which are susceptible to both earthquakes and coastal flooding. This research aims to create a detailed data inventory for San Diego, with particular emphasis on assessing the vulnerability of bridges, houses and understanding the cascading effects of damage to transportation infrastructure on recovery efforts and its socioeconomic impact. HAZUS-MH, a natural hazard loss estimation methodology developed by the Federal Emergency Management Agency in partnership with the National Institute of Building Sciences is a promising tool that facilitates the integration of various datasets and modeling capabilities, enabling a comprehensive analysis of disaster scenarios. The modeling of earthquake scenarios will consider factors such as ground motion, soil types, and building vulnerabilities. By conducting scenarios, the research will provide insights into the potential compound impacts of earthquakes and their socioeconomic effects, which are often overlooked but can be particularly devastating. To this end, a comprehensive data inventory for San Diego will be generated first, including geospatial information, building characteristics, infrastructure details, and environmental factors. The data inventory will serve as the foundation for creating realistic simulations of earthquakes. The focus will be given to the civil and transportation infrastructure, as bridges play a critical role in disaster resilience, being essential for maintaining connectivity and facilitating emergency response. Understanding how damage to transportation infrastructure affects recovery efforts is crucial for efficient resource allocation and rapid restoration of essential services.
This comparative analysis provides insights into the impact of earthquakes on the socioeconomic situation of the population living in the area.
     
  
  
    
    
      Tipologia del documento
      Tesi di laurea
(Laurea magistrale)
      
      
      
      
        
      
        
          Autore della tesi
          Arghistani, Mustafa
          
        
      
        
          Relatore della tesi
          
          
        
      
        
          Correlatore della tesi
          
          
        
      
        
          Scuola
          
          
        
      
        
          Corso di studio
          
          
        
      
        
          Indirizzo
          Structural Engineering
          
        
      
        
      
        
          Ordinamento Cds
          DM270
          
        
      
        
          Parole chiave
          Earthquake,HazusMH,causalities,emergency management,socioeconomics,San Diego,Inclusive Resilience,Recovery
          
        
      
        
          Data di discussione della Tesi
          8 Ottobre 2024
          
        
      
      URI
      
      
     
   
  
    Altri metadati
    
      Tipologia del documento
      Tesi di laurea
(NON SPECIFICATO)
      
      
      
      
        
      
        
          Autore della tesi
          Arghistani, Mustafa
          
        
      
        
          Relatore della tesi
          
          
        
      
        
          Correlatore della tesi
          
          
        
      
        
          Scuola
          
          
        
      
        
          Corso di studio
          
          
        
      
        
          Indirizzo
          Structural Engineering
          
        
      
        
      
        
          Ordinamento Cds
          DM270
          
        
      
        
          Parole chiave
          Earthquake,HazusMH,causalities,emergency management,socioeconomics,San Diego,Inclusive Resilience,Recovery
          
        
      
        
          Data di discussione della Tesi
          8 Ottobre 2024
          
        
      
      URI
      
      
     
   
  
  
  
  
  
  
    
      Gestione del documento: 
      
        