Munawar Hafiz Suliman, Mojtahedi Mohammad, Hammad Ahmed W A, Kouzani Abbas, Mahmud M A Parvez
School of Built Environment, University of New South Wales, Kensington, Sydney, NSW 2052, Australia.
School of Built Environment, University of New South Wales, Kensington, Sydney, NSW 2052, Australia.
Sci Total Environ. 2022 Feb 1;806(Pt 3):151351. doi: 10.1016/j.scitotenv.2021.151351. Epub 2021 Nov 2.
Integrating disruptive technologies within smart cities improves the infrastructure needed to potentially deal with disasters. This paper provides a perspective review of disruptive technologies such as the Internet of Things (IoT), image processing, artificial intelligence (AI), big data and smartphone applications which are in use and have been proposed for future improvements in disaster management of urban regions. The key focus of this paper is exploring ways in which smart cities could be established to harness the potential of disruptive technologies and improve post-disaster management. The key questions explored are a) what are the gaps or barriers to the utilization of disruptive technologies in the area of disaster management and b) How can the existing methods of disaster management be improved through the application of disruptive technologies. To respond to these questions, a novel framework based on integrated approaches based on big data analytics and AI is proposed for developing disaster management solutions using disruptive technologies.
将颠覆性技术融入智慧城市可改善应对灾害所需的基础设施。本文对诸如物联网(IoT)、图像处理、人工智能(AI)、大数据和智能手机应用等正在使用且已被提议用于未来改善城市地区灾害管理的颠覆性技术进行了综述。本文的重点是探索建立智慧城市以利用颠覆性技术潜力并改善灾后管理的方法。探讨的关键问题包括:a)在灾害管理领域利用颠覆性技术存在哪些差距或障碍?b)如何通过应用颠覆性技术改进现有的灾害管理方法?为回答这些问题,提出了一个基于大数据分析和人工智能的综合方法的新颖框架,用于使用颠覆性技术开发灾害管理解决方案。