Disaster Recovery Management in Australia and the Contribution of Social Work

2013 ◽  
Vol 12 (1-2) ◽  
pp. 19-38 ◽  
Author(s):  
Allison Rowlands
2007 ◽  
Vol 2 (6) ◽  
pp. 517-529 ◽  
Author(s):  
Laurie A. Johnson ◽  

Few local governments in the U.S. have faced the difficult task of managing catastrophic disaster recovery and there are equally few training guides geared toward improving local government's recovery management capacity. Our limited "toolkit"for local recovery management mostly reflects the learning from more moderate disasters. This paper reports on New Orleans' experiences in managing recovery from a truly catastrophic disaster. In particular, it describes two efforts: the 5-month Unified New Orleans Plan process, initiated in September 2006, and the city's Office of Recovery Management (now Office of Recovery Development and Administration), established in December 2006. It analyzes New Orleans' use of seven strategic recovery management practices that are proposed to enhance local management capacity and effectiveness following a disastrous event. Given the scale, complexity and multiple agencies involved in New Orleans recovery, this analysis is by no means exhaustive. It does, however, illustrate some of the areas where New Orleans' recovery management efforts have been effective as well as areas that could be strengthened.


2014 ◽  
Vol 30 (1) ◽  
pp. 577-605 ◽  
Author(s):  
Laurie A. Johnson ◽  
Ljubica Mamula-Seadon

Large-scale disasters simultaneously deplete capital stock and services which then requires many complex rebuilding and societal activities to happen in a compressed time period; one of those is governance. Governments often create new institutions or adapt existing institutions to cope with the added demands. Over two years following the 4 September 2010 and 22 February 2011 Canterbury earthquakes, governance transformations have increasingly centralized recovery authority and operations at the national level. This may have helped to strengthen coordination among national agencies and expedite policy and decision making; but the effectiveness of coordination among multiple levels of government, capacity building at the local and regional levels, and public engagement and deliberation of key decisions are some areas where the transformations may not have been as effective. The Canterbury case offers many lessons for future disaster recovery management in New Zealand, the United States, and the world.


2021 ◽  
Vol 2 (Fall/Winter) ◽  
pp. 1-12
Author(s):  
Joseph Richmond ◽  
Cheryl Knight

On May 22, 2011, an EF-5 tornado struck Joplin, Missouri, leaving behind 161 fatalities and $2.8 billion in economic impacts. This case study research design used in-depth semi-structured, one-on-one interviews and a qualitative design and analysis to examine the economic recovery following the disaster. It also formed the foundation for future research on the impact of interdisciplinary teams, specifically disaster emergency management and social work in disaster recovery.


Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3418 ◽  
Author(s):  
Eng Lau ◽  
Kok Chai ◽  
Yue Chen ◽  
Jonathan Loo

The traditional grid operation is unfortunately lacking the resilience and responsiveness in reacting to contingency events due to the poor utilization of available resources in mitigating the shortfalls. Such an unaddressed issue may affect the grid stability and the ultimate grid blackout. Therefore, this paper models a grid optimization module consisting of a mid and low (microgrid) voltage level grid component of an urban grid network for a disaster recovery. The model minimizes the cost of generation required to meet the demand through the economic dispatch in combination with the unit commitment. Two optimization problems are formulated that resemble the grid operation: normal (grid-connected) and islanded. A constrained-based linear programming optimization problem is used to solve the formulated problems, where the dual-simplex algorithm is used as the linear solver. The model ensures sufficient demand to be met during the outages through the N-1 contingency criterion for critical infrastructures. The simulation length is limited to 24 h and is solved using the MATLAB® R2017b software. Three different cases are established to evaluated the modelled grid resilience during the grid-connected or the islanding of operations subject to adversed events. The simulated results provide the economical outage recovery that will maintain the grid resilience across the grid.


Author(s):  
Jerlin Seles M ◽  
◽  
Dr. U. Mary ◽  

The COVID-19 pandemic has asserted major baseline facts from disaster anthropology during the last three decades. Resilience could be based on the solution to the question: "What is the maximum amount of destruction, if any, that the graph (a network) can sustain while ensuring that at least one of each technology type remains and that the remaining induced subgraph is properly colored?" The concept of a graph's Chromatic Core Subgraph is a solution to the stated problem. In this paper, the pandemic graphs and certain sequential graphs are developed. For these graphs, the Chromatic core subgraph is obtained. The results of the pandemic graphs' Chromatic core subgraph are used to develop a disaster recovery strategy for the COVID-19 pandemic.


2022 ◽  
pp. 197-217
Author(s):  
Gregory Smith ◽  
Thilini Ariyachandra

Disaster recovery management requires agile decision making and action that can be supported through business intelligence (BI) and analytics. Yet, fundamental data issues such as challenges in data quality have continued to plague disaster recovery efforts leading to delays and high costs in disaster support. This chapter presents an example of these issues from the 2005 Atlantic hurricane season, where Hurricane Katrina wreaked havoc upon the city of New Orleans forcing the Federal Emergency Management Agency (FEMA) to begin an unprecedented cleanup effort. The chapter brings to light the failings in record keeping during this disaster and highlight how a simple BI application can improve the accuracy and quality of data and save costs. It also highlights the ongoing data driven issues in disaster recovery management that FEMA continues to confront and the need for integrated centralized BI and analytics solutions extending to the supply chain that FEMA needs to become more nimble and effective when dealing with disasters.


2011 ◽  
Vol 27 (2) ◽  
pp. 521-538 ◽  
Author(s):  
Anne Wein ◽  
Laurie Johnson ◽  
Richard Bernknopf

Recovery from an earthquake like the M7.8 ShakeOut Scenario will be a major endeavor taking many years to complete. Hundreds of Southern California municipalities will be affected; most lack recovery plans or previous disaster experience. To support recovery planning this paper 1) extends the regional ShakeOut Scenario analysis into the recovery period using a recovery model, 2) localizes analyses to identify longer-term impacts and issues in two communities, and 3) considers the regional context of local recovery. Key community insights about preparing for post-disaster recovery include the need to: geographically diversify city procurement; set earthquake mitigation priorities for critical infrastructure (e.g., airport), plan to replace mobile homes with earthquake safety measures, consider post-earthquake redevelopment opportunities ahead of time, and develop post-disaster recovery management and governance structures. This work also showed that communities with minor damages are still sensitive to regional infrastructure damages and their potential long-term impacts on community recovery. This highlights the importance of community and infrastructure resilience strategies as well.


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