Haiti 2010 earthquake—How to explain such huge losses?

Hou, Laurent; Shi, Peijun

doi:10.1007/s13753-011-0003-x

Cited by 52 publications

(9 citation statements)

References 3 publications

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“…The National Science and Technology Council () defines a disaster as “a serious disruption of the functioning of a community or a society that causes widespread human, material, economic, or environmental losses that exceed the ability of the affected community or society to cope using its resources.” In this work, we focus on natural disasters. The 2005 Hurricane Katrina (Bates et al, ; O'Connor, ), the 2010 Haiti earthquake (Hou & Shi, ; O'Connor, ), and the 2011 Great East Japan Earthquake and Tsunami (Thatcher et al, ) are some examples of natural disasters affecting a large number of people in the past decade.…”

Section: Literature Surveymentioning

confidence: 99%

An analysis of natural disaster‐related information‐seeking behavior using temporal stages

Rahmi

Joho

Shirai

2018

Asso for Info Science & Tech

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Since natural disasters can affect many people over a vast area, studying information-seeking behavior (ISB) during disasters is of great importance. Many previous studies have relied on online social network data, providing insights into the ISB of those with Internet access. However, in a large-scale natural disaster such as the Great East Japan Earthquake of 2011, people in the most severely affected areas tended to have limited Internet access. Therefore, an alternative data source should be explored to investigate disaster-related ISB. This study's contributions are twofold. First, we provide a detailed description of natural disaster-related ISB of people who experienced a large-scale earthquake and tsunami, based on analysis of written testimonies published by local authorities. This provided insight into the relationship between information needs, channels, and sources of disaster-related ISB. Also, our approach facilitates the study of ISB of people without Internet access both during and after a disaster. Second, we provide empirical evidence to demonstrate that the temporal stages of a disaster can characterize people's ISB during the disaster. Therefore, we propose further consideration of the temporal aspects of events for improved understanding of disaster-related ISB.

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Section: Literature Surveymentioning

confidence: 99%

An analysis of natural disaster‐related information‐seeking behavior using temporal stages

Rahmi

Joho

Shirai

2018

Asso for Info Science & Tech

View full text Add to dashboard Cite

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“…In this problem, the decision maker is not willing to give the preference for an objective to another objective. For this reason, to highlight the signi cance of simultaneously considering the cost and time of search, we set w equal to 0.5 in Model (11). The reader is referred to [63] for a classi cation of MOP techniques on the basis of the role of the decision maker in a solution procedure.…”

Section: Solution Proceduresmentioning

confidence: 99%

“…Clearly, Model (11) is nearly impossible to handle directly. Hence, all possible scenarios are separately placed in Model (11). Finally, the scenario with the minimum Z will be the best.…”

Section: Solution Proceduresmentioning

confidence: 99%

“…However, the model is nearly impossible to solve directly. Therefore, all six possible scenarios are separately placed in Model (11) and the scenario with the minimum Z will be the best. The model has been coded by Python 3.3 for each strategy.…”

Section: Solutionmentioning

confidence: 99%

“…As pointed out by Hou and Shi [11], destruction of an earthquake is not straight determined by its magnitude. For example, from 1980 to 2002, India experienced 14 earthquakes with 32,117 killed while the United States experienced 18 earthquakes with 143 killed [8].…”

Section: Introductionmentioning

confidence: 96%

See 2 more Smart Citations

A stochastic multi-objective model based on the classical optimal search model for searching for the people who are lost in response stage of earthquake

et al. 2018

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Although after an earthquake, the injured person should be equipped with food, shelter, and hygiene activities, before anything must be searched and rescued. However, Disaster Management (DM) has focused heavily on emergency logistics and developing an e ective strategy for search operations has been largely ignored. In this study, we suggest a stochastic multi-objective optimization model to allocate resource and time for searching the individuals who are trapped in disaster regions. Since in disaster conditions, the majority of information is uncertain, our model assumes ambiguity for the locations where the missing people may exist. Fortunately, the suggested model ts nicely into the structure of the classical optimal search model as it uses a stochastic dynamic programming approach to solving this problem. On the other hand, through a computational experiment, we observed that the model needed heavy computation. Therefore, we reformulated the suggested search model for a Multi-Criteria Decision Making (MCDM) problem and employed two e cient MCDM techniques, namely TOPSIS and COPRAS, to tackle the ranking problem. Consequently, the computational e ort signi cantly decreased and a promising solution was achieved.

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Organizational Features in Disaster Risk Management Systems

Manyoma

Reyes

Bohórquez

2019

IFIP Advances in Information and Communication Technology

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In recent years, the fields of humanitarian logistics and attention to natural disasters have been focused on identifying the needs of the communities that go through some type of crisis, with the purpose of optimizing mitigation, prevention and response to emergencies processes. Today, problems have become more frequent and devastating; globalization, environmental damage and climate change have made our planet vulnerable. The social, economic and even political impact that have generated these events, has placed them in the crosshairs of governs. This article aims to conduct a systematic review of the literature about systems that address natural disasters and emergencies; its structures and structural features that characterize them. The structure includes, but is not limited to aspects such as the distribution of information, interaction patterns between the parties, the roles played by team members, among others. In this way we seek to highlight how the decision-making processes are carried out, and how these factors affect the outcome of the emergency. As a research proposal in the first part, the review process carried out and the definition of important terms are described. Then, some cases of emergency care are identified and selected, in which the stages from the declaration of the emergency to the results obtained can be recognized and the definition of four common structural elements in each situation can be defined: coordination mechanisms; information flows; structural flexibility; and roles and authority within the organization.

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Haiti 2010 earthquake—How to explain such huge losses?

Cited by 52 publications

References 3 publications

An analysis of natural disaster‐related information‐seeking behavior using temporal stages

An analysis of natural disaster‐related information‐seeking behavior using temporal stages

A stochastic multi-objective model based on the classical optimal search model for searching for the people who are lost in response stage of earthquake

Organizational Features in Disaster Risk Management Systems

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