Flooding disaster resilience information framework for smart and connected communities

Kumar, Sathish A.P.; Bao, Shaowu; Singh, Vivek K.; Hallstrom, Jason O.

doi:10.1007/s40860-019-00073-2

Cited by 26 publications

(15 citation statements)

References 54 publications

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“…e metacognitive stimulates people to develop knowledge through experiences (Chekwa et al, 2015;Frank & Kuhlmann, 2016), and learning process from behavior adaptation against con icts (Questienne et al, 2018). It also makes the analysis skill in mitigation and adaptation getting deeper to create a decision in overcome the disaster (Kumar et al, 2019). Furthermore, the development of higher-level, complex and metacognitive thinking skills can help solve problems or make decision in disaster management (Brooks et al, 2016;Kumar et al, 2019).…”

Section: Debugging Strategies (Ds)mentioning

confidence: 99%

“…It also makes the analysis skill in mitigation and adaptation getting deeper to create a decision in overcome the disaster (Kumar et al, 2019). Furthermore, the development of higher-level, complex and metacognitive thinking skills can help solve problems or make decision in disaster management (Brooks et al, 2016;Kumar et al, 2019). e MAI's questions as the observed variables were regrouped to arrange an assessment of the ood disaster management.…”

Section: Debugging Strategies (Ds)mentioning

confidence: 99%

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The Millennials Metacognitive Assessment toward Flood-Disaster in Semarang City

Suharini

Kurniawan

2021

IJG

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Disaster management action should be built up through developing metacognitive and action skills. The metacognitive strategy includes aspects of knowledge about when and how to use it by type, specific technique, and response that are assumed related to deal with disasters. Therefore, this study was aimed to assess the metacognitive abilities of millennials who are affected by disasters and its relation to disaster management. This study used an observatory exploration and inventory (EOI) method involving 248 respondents in flood-prone areas in the city of Semarang. Data were obtained using a questionnaire-based Guttman model electronic survey as many as 52 statements to inventory metacognition abilities and 48 statements related to actions in flood disaster management. Data were analyzed using Pearson’s linear and regression analysis. The non-parametric analysis: Kruskal-Wallis test was run to distinguish metacognitive scores in dealing with food-related problems among millennials groups. For metacognitive awareness, the cognition knowledge was higher than controlling knowledge (p < 0.05). The highest score of metacognitive variables was debugging strategy, which represents a corrective attitude. As described in the value of conditional knowledge, the ability to think fast shows that the millennials are quickly responding and understanding how to act. Most of the respondent actively involved in mitigation and rehabilitation as a volunteer in youth-events such us mangrove planting and cleaning plastic-trash in coastal areas. But, lack involvement of millennial in arranging flood-disaster management make less youth’s responsibility during the disaster. It should be overcome to create a comprehensive approach to community-based disaster resilience.

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Section: Debugging Strategies (Ds)mentioning

confidence: 99%

Section: Debugging Strategies (Ds)mentioning

confidence: 99%

The Millennials Metacognitive Assessment toward Flood-Disaster in Semarang City

Suharini

Kurniawan

2021

IJG

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“…A key concern from a privacy perspective is that LBS Big Data are personal data. Where aspects of visualization are focussed [ 3 , 24 , 43 , 65 , 115 , 118 , 183 ], the privacy concern is generally an issue, since data need to be collected, in order to be visualized, and anonymization may not always be successful. This holds true whether the data are collected by businesses, governments, or grassroots initiatives, such as in citizen science and NeoGeography [ 67 , 73 ].…”

Section: Types Of Applicationsmentioning

confidence: 99%

Location-aware systems or location-based services: a survey with applications to CoViD-19 contact tracking

Schmidtke¹

2020

J Reliable Intell Environ

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With the CoViD-19 pandemic, location awareness technologies have seen renewed interests due to the numerous contact tracking mobile application variants developed, deployed, and discussed. For some, location-aware applications are primarily a producer of geospatial Big Data required for vital geospatial analysis and visualization of the spread of the disease in a state of emergency. For others, comprehensive tracking of citizens constitutes a dangerous violation of fundamental rights. Commercial web-based location-aware applications both collect data and—through spatial analysis and connection to services—provide value to users. This value is what motivates users to share increasingly private and comprehensive data. The willingness of users to share data in return for services has been a key concern with web-based variants of the technology since the beginning. With a focus on two privacy preserving CoViD-19 contact tracking applications, this survey walks through the key steps of developing a privacy preserving context-aware application: from types of applications and business models, through architectures and privacy strategies, to representations.

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“…The enhanced capacities of a social unit make itself resilient against the adverse effect of climate change [1]. The adaptation strategy of vulnerable communities cannot help properly from huge direct and indirect damages of natural disasters as it is due to climate change [2]. It is now well established that technology can help to handle the situation of natural disasters.…”

Section: Introductionmentioning

confidence: 99%

Climate Change Adaptation and Resilience through Big Data

Sarker¹,

Yang²,

Lv³

et al. 2020

IJACSA

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The adverse effect of climate change is gradually increasing all over the world and developing countries are more sufferer. The potential of big data can be an effective tool to make an appropriate adaptation strategy and enhance the resilience of the people. This study aims to explore the potential of big data for taking proper strategy against climate change effects as well as enhance people's resilience in the face of the adverse effect of climate change. A systematic literature review has been conducted in the last ten years of existing kinds of literature. This study argues that resilience is a process of bounce back to the previous condition after facing any adverse effect. It also focuses on the integrated function of the adaptive, absorptive and transformative capacity of a social unit such as individual, community or state for facing any natural disaster. Big data technologies have the capacity to show the information regarding upcoming issues, current issues and recovery stages of the adverse effect of climate change. The findings of this study will enable policymakers and related stakeholders to take appropriate adaptation strategies for enhancing the resilience of the people of the affected areas. Keywords-Disaster resilience; administrative resilience; community resilience; disaster management; environmental managementAs a new paradigm, a big data approach is considered as the most effective method for taking quick and effective decisions [9]. It can analyze the huge amount of data obtained from various sources such as weather data, social media, electronic and print media, non-governmental organizations, voluntary community organizations, and various social networking sites. Big data provides a big opportunity for communication which can help susceptible community people about an upcoming threat, challenges, risks and disasters [10]. Communication provides a way to communicate with each other before, during and after a disaster to inform the condition to one another and make preparation and also acts as a source of big data [11]. Big data encourage researchers and policymakers to conduct an in-depth analysis of communication data from a mobile phone, social media and other communication devices which has big rationality for disaster resilience.

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Flooding disaster resilience information framework for smart and connected communities

Cited by 26 publications

References 54 publications

The Millennials Metacognitive Assessment toward Flood-Disaster in Semarang City

The Millennials Metacognitive Assessment toward Flood-Disaster in Semarang City

Location-aware systems or location-based services: a survey with applications to CoViD-19 contact tracking

Climate Change Adaptation and Resilience through Big Data

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