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Sustainable Development and Disaster Risk Reduction

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Hazards and Sustainability".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 12237

Special Issue Editors

School of Geographical Sciences, University of Bristol, Bristol BS8 1SS, UK
Interests: infrastructure systems; remote sensing; socioeconcomic
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Civil Engineering department, University of Bristol, Bristol BS8 1TR, UK
Interests: hydroinformatics; flood risk assessment and management; natural hazards; remote sensing; water resources
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Disasters caused by natural hazards can often lead to significant and long-lasting disruptions of the whole socioeconomic system. On the other hand, the lack of sustainable development can further increase disaster risks and impacts. Therefore, disaster risk reduction and sustainable development are closely related, yet the disciplinary boundary prevails and there are limited cooperations between disaster risk management, environment, and development communities. One catastrophic event, such as an earthquake, or flood, can destroy multi-infrastructure systems and lead to cascading failures and substantial socioeconomic damages and set back development. Similarly, slow-onset disasters such as these associated with global climate changes can also pose serious threats to people’s lives and livelihoods, infrastructure, socioeconomy, and long-term sustainable development.

This Special Issue aims to bring together reviews and original research articles that aim to bridge the gaps between environmental, sustainable development, and disaster risk management research, in particular, to provide solutions to reduce the risks from natural disasters and develop sustainabilities at the local, national, regional, and global levels.

For this Special Issue, we aim at soliciting contributions on sustainable development and disaster risk reduction in the following key areas: natural hazards, infrastructure, and climate change.

We especially welcome and encourage researchers from developing countries, women, and underrepresented minorities to contribute to this Special Issue.

You may choose our Joint Special Issue in Water.

Dr. Lu Zhuo
Prof. Dr. Dawei Han
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • disaster risk management
  • sustainable development
  • climate change
  • natural hazards
  • infrastructure

Published Papers (1 paper)

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Review

17 pages, 18587 KiB  
Review
Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management
by Sheikh Kamran Abid, Noralfishah Sulaiman, Shiau Wei Chan, Umber Nazir, Muhammad Abid, Heesup Han, Antonio Ariza-Montes and Alejandro Vega-Muñoz
Sustainability 2021, 13(22), 12560; https://doi.org/10.3390/su132212560 - 13 Nov 2021
Cited by 41 | Viewed by 11247
Abstract
Technical and methodological enhancement of hazards and disaster research is identified as a critical question in disaster management. Artificial intelligence (AI) applications, such as tracking and mapping, geospatial analysis, remote sensing techniques, robotics, drone technology, machine learning, telecom and network services, accident and [...] Read more.
Technical and methodological enhancement of hazards and disaster research is identified as a critical question in disaster management. Artificial intelligence (AI) applications, such as tracking and mapping, geospatial analysis, remote sensing techniques, robotics, drone technology, machine learning, telecom and network services, accident and hot spot analysis, smart city urban planning, transportation planning, and environmental impact analysis, are the technological components of societal change, having significant implications for research on the societal response to hazards and disasters. Social science researchers have used various technologies and methods to examine hazards and disasters through disciplinary, multidisciplinary, and interdisciplinary lenses. They have employed both quantitative and qualitative data collection and data analysis strategies. This study provides an overview of the current applications of AI in disaster management during its four phases and how AI is vital to all disaster management phases, leading to a faster, more concise, equipped response. Integrating a geographic information system (GIS) and remote sensing (RS) into disaster management enables higher planning, analysis, situational awareness, and recovery operations. GIS and RS are commonly recognized as key support tools for disaster management. Visualization capabilities, satellite images, and artificial intelligence analysis can assist governments in making quick decisions after natural disasters. Full article
(This article belongs to the Special Issue Sustainable Development and Disaster Risk Reduction)
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