Iqbal Umair, Perez Pascal, Barthelemy Johan
SMART Infrastructure Facility, University of Wollongong, Australia.
Heliyon. 2021 Nov 15;7(11):e08405. doi: 10.1016/j.heliyon.2021.e08405. eCollection 2021 Nov.
An escalation in the frequency and intensity of natural disasters is observed over the last decade, forcing the community to develop innovative technological solutions to reduce disaster impact. The multidisciplinary nature of disaster management suggests the collaboration between different disciplines for an efficient outcome; however, any such collaborative framework is found lacking in the literature. A common taxonomy and interpretation of disaster management related constraints are critical to develop efficient technological solutions. This article proposes a process-driven and need-oriented framework to facilitate the review of technology based contributions in disaster management. The proposed framework aims to bring technological contributions and disaster management activities in a single frame to better classify and analyse the literature. A systematic review of benchmark disruptive technology based contributions to disaster management has been performed using the proposed framework. Furthermore, a set of basic requirements and constraints at each phase of a disaster management process have been proposed and cited literature has been analysed to highlight corresponding trends. Finally, the scope of computer vision in disaster management is explored and potential activities where computer vision can be used in the future are highlighted.
在过去十年中，自然灾害的频率和强度不断升级，这迫使社会各界开发创新技术解决方案以减少灾害影响。灾害管理的多学科性质意味着不同学科之间需要合作以取得高效成果；然而，文献中发现任何此类协作框架都存在不足。对灾害管理相关约束进行共同的分类和解释对于开发高效技术解决方案至关重要。本文提出了一个以流程为驱动、以需求为导向的框架，以促进对灾害管理中基于技术的贡献进行审查。所提出的框架旨在将技术贡献和灾害管理活动置于一个单一框架中，以便更好地对文献进行分类和分析。已使用所提出的框架对基于基准颠覆性技术对灾害管理的贡献进行了系统综述。此外，还提出了灾害管理过程各阶段的一组基本要求和约束，并对引用文献进行了分析以突出相应趋势。最后，探讨了计算机视觉在灾害管理中的应用范围，并强调了未来可使用计算机视觉的潜在活动。
