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Jason von Meding - University of Florida. Gainesville, FL, US

Jason von Meding Jason von Meding

Associate Professor | University of Florida

Gainesville, FL, UNITED STATES

Jason von Meding is an expert in how disaster affects people.

Biography

Jason von Meding is an expert in how disaster affects people. Since 2005 he has questioned how the government, universities and corporations communicate with the public about disasters and risk.

Industry Expertise (4)

Architecture and Planning

Construction - Commercial

Construction - Residential

Public Policy

Areas of Expertise (5)

Disaster and Public Health Preparedness

Natural Disaster Assessment

Disaster Risk Reduction

Disaster Management

Sustainability

Media Appearances (3)

The idea of a ‘natural’ disaster is going up in flames

Grist  online

2020-09-16

Another factor: money. “There’s a lot more profit in focusing on fighting against nature than in fighting against social inequality,” said Jason von Meding, an associate professor at the University of Florida, and companies and research institutions take advantage of it. “More sea walls, better mapping or hazard monitoring isn’t going to solve those social problems,” he said, “and yet most of our funding is going to technological innovation.”

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Mining and dams exacerbated devastating Kerala floods

Nature  

2018-09-03

Jason von Meding, who studies disaster risk reduction at the University of Newcastle in Australia, says the government should explain why it rejected the Gadgil-committee report, which emphasized the need to curb development excesses and focus on conservation. “Uncontrolled mining, dam construction, deforestation and poorly planned construction have multiplied the risk of flooding and landslides in recent years,” he says.

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Chemical attacks on Iran: When the US looked the other way

Aljazeera  online

2018-04-19

Jason von Meding, a senior lecturer at Australia’s University of Newcastle, who has studied the use of chemicals during warfare, including the Vietnam War, said the US-led air attacks only delayed the arrival of inspectors in Douma and the gathering of evidence, which is critical for any prosecution.

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Social

Articles (5)

Drivers of Applying Ecological Modernization to Construction Waste Minimization in New South Wales Construction Industry

Construction Economics and Building

Sulala Al-Hamadani, Temitope Egbelakin, Willy Sher, Jason Von Meding

2021 The application of ecological modernization (EM) (to delink industry growth from environmental damage) to minimize construction waste has not been explored within the construction industry in general, and the New South Wales (NSW) construction industry in particular. This study seeks to identify the drivers of applying EM to construction waste minimisation (CWM) in the industry. Also, to determine the CWM measures that are critical for each of the drivers. A survey was adopted in this study to target stakeholders engaged in the delivery of construction projects in NSW from design to completion. The survey was selected to reach a large number of respondents within a manageable period. A pilot study was conducted to ensure the reliability of the research design before a full-scale data collection was launched. The data from 240 valid responses was analysed using factor analysis, relative importance index and descriptive statistics. The results revealed five important drivers for EM’s application to CWM. These are agents of change, government policies, supply chain dynamics, skill-building and technological innovations. The CWM measures that are critical for each of these drivers were also identified.

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Integrating international linguistic minorities in emergency planning at institutions of higher education

Natural Hazards

Amer Hamad Issa Abukhalaf, Jason von Meding

2021 Research concerning the behavior of international linguistic minorities at institutions of higher education during disasters is very limited. Many international groups suffer from discrimination based on language (linguicism) during disasters—their stories are not being told, and their voices are not being heard. The main objective of our study is to develop new knowledge about disaster-related behaviors of international linguistic minorities at institutions of higher education with a view toward enhancing overall campus emergency planning. Qualitative and quantitative methods were used to collect and analyze data; 62 subjects from the international community at University of Florida (UF), including foreign employees, international students, and foreign dependents, were surveyed shortly after the hurricane Dorian alert on campus. Additionally, 10 subjects from the UF international community were interviewed. The data analysis sought to provide insights into one main question: What were the key challenges facing international linguistic minorities at UF campus during the hurricane Dorian alert? Three comprehensive groups of challenges were found; disaster knowledge deficit and false perceptions, generic emergency communication, and inadequate disaster preparedness. The research findings provide insight into the experience of culturally different groups and offer practical and critical policy insights that help in developing more efficient disaster mitigation plans, and disaster risk-reduction strategies.

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Flood risk assessment using deep learning integrated with multi-criteria decision analysis

Knowledge-Based Systems

Binh Thai Pham, Chinh Luu, Dong Van Dao, Tran Van Phong, Huu Duy Nguyen, Hiep Van Le, Jason von Meding, Indra Prakash

2021 In this paper, we proposed a novel approach for flood risk assessment, which is a combination of a deep learning algorithm and Multi-Criteria Decision Analysis (MCDA). The framework of the flood risk assessment involves three main elements: hazard, exposure, and vulnerability. For this purpose, one of the flood-prone areas of Vietnam, namely Quang Nam province was selected as the study area. Data of 847 past flood locations of this area was analyzed to generate training and testing datasets for the models. In this study, we have used one of the popular Deep Neural Networks (DNNs) algorithm for generation of flood susceptibility map while Analytic Hierarchy Process (AHP), which is a popular MCDA approach, was used to generate the hazard, exposure, and vulnerability maps. We have also used hybrid models namely BFPA and DFPA which are the ensembles of Bagging and Decorate with Forest by Penalizing Attributes algorithm for the comparison of performance with DNNs method. Various standard statistical indices including Receiver Operating Characteristic (ROC) curves were used for the performance evaluation and validation of the models. Results indicated that integration of DNNs and MCDA models is a promising approach for developing accurate flood risk assessment map of an area for the better flood hazard management.

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Climate change adaptation across businesses in Australia: interpretations, implementations, and interactions

Environment, Development and Sustainability

Giuseppe Forino, Jason von Meding

2021 Climate change and associated processes can increase the occurrence of some natural hazards and threaten business operations. Therefore, it is widely recommended businesses respond to climate change and implement climate change adaptation. Worldwide, businesses make efforts towards climate change adaptation, but investigation on such efforts is still required. To partially fill this research gap, the paper explores businesses adaptation efforts in the Hunter Valley, Australia. The paper collects primary data from open-ended interviews to 10 representatives of local businesses and supporting organizations. The paper reveals that businesses interpret climate change in different ways. While some businesses are sceptical about climate change, others are aware of it and its impacts on everyday operations. Businesses therefore implement adaptation by integrating climate change into everyday operations and continuity planning. The paper also shows diverse interactions occurring between businesses and other local stakeholders such as governments and communities. Usually, higher government levels offer vague and limited support to businesses and inhibit their adaptive efforts. Meanwhile, interactions between businesses and City Councils can be both collaborative and fragmented.

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Traditional water knowledge: challenges and opportunities to build resilience to urban floods

International Journal of Disaster Resilience in the Built Environment

Rumana Asad, Iftekhar Ahmed, Josephine Vaughan, Jason von Meding

2021 Urban flooding in developing countries of the Global South is growing due to extreme rainfall and sea-level rise induced by climate change, as well as the proliferation of impervious, built-up areas resulting from unplanned urbanisation and development. Continuous loss of traditional knowledge related to local water management practices, and the de-valuing of such knowledge that goes hand-in-hand with globalised aspirations, is inhibiting flood resilience efforts. This paper aims to address the need to include traditional water knowledge (TWK) in urban living and development processes in the Global South. This paper commences with a review of existing frameworks that focus on natural resource management, critically assessing two existing frameworks of traditional ecological knowledge (TEK). The assessment of the existing approaches contributes to this paper’s development of a novel framework to promote TWK with regard to resilience and risk reduction, specifically for developing flood adaptive strategies, which is the second stage of this paper. Finally, the paper explains how the framework can contribute to the field of urban design and planning using examples from the literature to demonstrate challenges and opportunities related to the adaptation of such a framework.

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Languages (1)

  • English