Seismic loss estimation tool as rapid survey for prioritizing buildings for disaster preparedness: case study to hospital buildings

2018 ◽  
Vol 95 (3) ◽  
pp. 769-781
Author(s):  
Radhikesh Prasad Nanda ◽  
Nilendu Krishna Paul ◽  
Ningthoujam Monika Chanu
Keyword(s):  
Disaster Preparedness ◽  
Loss Estimation ◽  
Seismic Loss

Performance group weighting factors for rapid seismic loss estimation of buildings of different usage

2020 ◽  
Vol 36 (3) ◽  
pp. 1141-1165 ◽  
Author(s):  
Shreedhar Khakurel ◽  
Rajesh P Dhakal ◽  
Trevor Z Yeow ◽  
Sandip K Saha
Keyword(s):  
Loss Estimation ◽  
Specific Information ◽  
Design Practice ◽  
Structural Components ◽  
Weighting Factors ◽  
Performance Group ◽  
Probabilistic Distribution ◽  
Seismic Loss ◽  
Distribution Parameters

Despite significant progress made recently on simplifying the loss estimation procedures, they are not easy to use in engineering design practice. One of the reasons for this is insufficient information regarding the inevitable variations in the type and density of structural and non-structural components present in various building usages. This study aims to establish building usage groups with similar proportions of structural and non-structural components and compute the corresponding weighting factors. The methodology adopted in this study can be used in other regions; however, herein concluded values and building usage groups are based on New Zealand–specific information. The method involves extracting component construction/installation costs from construction handbooks for a range of different building usages, assembling components into three performance groups (structural, drift-sensitive non-structural, and acceleration-sensitive non-structural), then grouping the building types based on similar structural and non-structural component costs. Four different building usage groups are identified, and probabilistic distribution parameters of the performance group weighting factors for each group are proposed. A case study demonstrating the application of these weighting factors in seismic loss estimation is provided.

Seismic Loss Estimation Using Experimental Fragility and Vulnerability Functions: Case Study of Buzau County, Romania

2022 ◽  
Vol 23 (1) ◽  
pp. 05021016
Author(s):  
Florin Pavel ◽  
Andreea Dutu ◽  
Ehsan Noroozinejad Farsangi
Keyword(s):  
Loss Estimation ◽  
Seismic Loss ◽  
Vulnerability Functions

THE ROLE OF EDUCATION ON DISASTER PREPAREDNESS CASE STUDY OF 2012 INDIAN OCEAN EARTHQUAKES ON THAILAND’S

2018 ◽  
Author(s):  
Raya Muttarak ◽  
Wiraporn Pothisiri
Keyword(s):  
Indian Ocean ◽  
Emergency Preparedness ◽  
Disaster Preparedness ◽  
Formal Education ◽  
Disaster Experience ◽  
Individual Household ◽  
The Indian Ocean ◽  
The Individual

In this paper we investigate how well residents of the Andaman coast in Phang Nga province, Thailand, are prepared for earthquakes and tsunami. It is hypothesized that formal education can promote disaster preparedness because education enhances individual cognitive and learning skills, as well as access to information. A survey was conducted of 557 households in the areas that received tsunami warnings following the Indian Ocean earthquakes on 11 April 2012. Interviews were carried out during the period of numerous aftershocks, which put residents in the region on high alert. The respondents were asked what emergency preparedness measures they had taken following the 11 April earthquakes. Using the partial proportional odds model, the paper investigates determinants of personal disaster preparedness measured as the number of preparedness actions taken. Controlling for village effects, we find that formal education, measured at the individual, household, and community levels, has a positive relationship with taking preparedness measures. For the survey group without past disaster experience, the education level of household members is positively related to disaster preparedness. The findings also show that disaster related training is most effective for individuals with high educational attainment. Furthermore, living in a community with a higher proportion of women who have at least a secondary education increases the likelihood of disaster preparedness. In conclusion, we found that formal education can increase disaster preparedness and reduce vulnerability to natural hazards.

SURVEY OF DWELLING BUILDINGS FOR SEISMIC LOSS ASSESSMENT AT URBAN SCALE: THE CASE STUDY OF 18 VILLAGES IN VAL D'AGRI, ITALY

2014 ◽  
Vol 13 (2) ◽  
pp. 471-486 ◽  
Author(s):  
Angelo Masi ◽  
Leonardo Chiauzzi ◽  
Carmelinda Samela ◽  
Luigi Tosco ◽  
Marco Vona
Keyword(s):  
Loss Assessment ◽  
Seismic Loss ◽  
Seismic Loss Assessment

scholarly journals Evacuation Decision-Making during Hurricane Matthew: An Assessment of the Effects of Social Connections

2017 ◽  
Vol 9 (4) ◽  
pp. 769-776 ◽  
Author(s):  
Jennifer Collins ◽  
Robin Ersing ◽  
Amy Polen
Keyword(s):  
Decision Making ◽  
Disaster Preparedness ◽  
Three Dimensions ◽  
Social Connections ◽  
Storm Event ◽  
Community Based ◽  
Memory Decay ◽  
Perceived Access ◽  
The Relationship

Abstract This study conducted in Florida examines the relationship between an individual’s social connections and their decision to evacuate during a hurricane warning. Using Hurricane Matthew in 2016 as a case study, a survey was conducted on two groups (those who evacuated and those who did not), assessing one’s social connections considering three dimensions: dependability, density, and diversity. These factors, in addition to socioeconomic variables (e.g., age, race, education), were used to better define a picture for what influences evacuation decision-making. To avoid memory decay, the surveys were completed at the time of the evacuation for those who evacuated and immediately after the passage of Matthew for those who did not evacuate. It was concluded, through statistical analyses, that the perceived dependability of a person’s social connections (i.e., their perceived access to resources and support) played a significant role in the decision to evacuate or not, with non-evacuees having more dependable relationships and having a tightknit community they can rely on during a storm event. On the other hand, the density and diversity of peoples’ social connections did not significantly impact the decision to evacuate. This study has important implications for adding to the knowledge base on community-based sustainable disaster preparedness and resilience.

scholarly journals Probabilistic Seismic Direct Loss Estimation for Ports, Case study: Pars Asaluyeh port

2020 ◽  
Vol 3 (4) ◽  
pp. 9-17
Author(s):  
Seyed Farshid Montazeri ◽  
Rouhollah Amirabadi ◽  
◽  
Keyword(s):  
Loss Estimation ◽  
Direct Loss
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