Disaster Resilience

2010 ◽  
pp. 81-99 ◽  
Author(s):  
Douglas Paton ◽  
Li-ju Jang
Keyword(s):  
Disaster Resilience

scholarly journals 8R Resilience Model: A Stakeholder-Centered Approach of Disaster Resilience for Transportation Infrastructure and Network

2021 ◽  
pp. 100058
Author(s):  
Syed A. Morshed ◽  
Mahmoud Arafat ◽  
Seyedmirsajad Mokhtarimousavi ◽  
Sifat Shahriar Khan ◽  
Kamar Amine
Keyword(s):  
Transportation Infrastructure ◽  
Disaster Resilience

scholarly journals eFRADIR: An Enhanced FRAmework for DIsaster Resilience

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 13125-13148
Author(s):  
Alija Pasic ◽  
Rita Girao-Silva ◽  
Ferenc Mogyorosi ◽  
Balazs Vass ◽  
Teresa Gomes ◽  
...  
Keyword(s):  
Disaster Resilience

Social media for enhanced understanding of disaster resilience during Hurricane Florence

2021 ◽  
Vol 57 ◽  
pp. 102289
Author(s):  
Faxi Yuan ◽  
Min Li ◽  
Rui Liu ◽  
Wei Zhai ◽  
Bing Qi
Keyword(s):  
Social Media ◽  
Disaster Resilience

scholarly journals Twitter Use in Hurricane Isaac and Its Implications for Disaster Resilience

2021 ◽  
Vol 10 (3) ◽  
pp. 116
Author(s):  
Kejin Wang ◽  
Nina S. N. Lam ◽  
Lei Zou ◽  
Volodymyr Mihunov
Keyword(s):  
Census Data ◽  
Situational Awareness ◽  
Research Question ◽  
Community Resilience ◽  
Disaster Resilience ◽  
Positive Correlations ◽  
Social Environmental ◽  
Use Of Social Media ◽  
Resilience Indicators ◽  
Three Phases

Disaster resilience is the capacity of a community to “bounce back” from disastrous events. Most studies rely on traditional data such as census data to study community resilience. With increasing use of social media, new data sources such as Twitter could be utilized to monitor human response during different phases of disasters to better understand resilience. An important research question is: Does Twitter use correlate with disaster resilience? Specifically, will communities with more disaster-related Twitter uses be more resilient to disasters, presumably because they have better situational awareness? The underlying issue is that if there are social and geographical disparities in Twitter use, how will such disparities affect communities’ resilience to disasters? This study examines the relationship between Twitter use and community resilience during Hurricane Isaac, which hit Louisiana and Mississippi in August 2012. First, we applied the resilience inference measurement (RIM) model to calculate the resilience indices of 146 affected counties. Second, we analyzed Twitter use and their sentiment patterns through the three phases of Hurricane Isaac—preparedness, response, and recovery. Third, we correlated Twitter use density and sentiment scores with the resilience scores and major social–environmental variables to test whether significant geographical and social disparities in Twitter use existed through the three phases of disaster management. Significant positive correlations were found between Twitter use density and resilience indicators, confirming that communities with higher resilience capacity, which are characterized by better social–environmental conditions, tend to have higher Twitter use. These results imply that Twitter use during disasters could be improved to increase the resilience of affected communities. On the other hand, no significant correlations were found between sentiment scores and resilience indicators, suggesting that further research on sentiment analysis may be needed.

scholarly journals Disaster Resilience of Optical Networks: State of the Art, Challenges, and Opportunities

2021 ◽  
pp. 100619
Author(s):  
Jacek Rak ◽  
Rita Girão-Silva ◽  
Teresa Gomes ◽  
Georgios Ellinas ◽  
Burak Kantarci ◽  
...  
Keyword(s):  
Optical Networks ◽  
State Of The Art ◽  
Disaster Resilience ◽  
Challenges And Opportunities

A Novel Energy Management Approach to Networked Microgrids for Disaster Resilience

2021 ◽  
Author(s):  
Mumbere Kihembo Samuel ◽  
Atsushi Fukuhara ◽  
Yutaka Sasaki ◽  
Yoshifumi Zoka ◽  
Naoto Yorino ◽  
...  
Keyword(s):  
Energy Management ◽  
Management Approach ◽  
Disaster Resilience ◽  
Networked Microgrids

Exploring disaster resilience within the hotel sector: A case study of Wellington and Hawke's Bay New Zealand

2021 ◽  
Vol 55 ◽  
pp. 102080
Author(s):  
Nancy A. Brown ◽  
Shirley Feldmann-Jensen ◽  
Jane E. Rovins ◽  
Caroline Orchiston ◽  
David Johnston
Keyword(s):  
New Zealand ◽  
Disaster Resilience ◽  
Hotel Sector
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