Application of smart systems and emerging technologies for disaster risk reduction and management in Nepal

Avani Dixit, Raju Chauhan, Rajib Shaw
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Abstract

Purpose The purpose of this paper is to explore the application of smart systems and emerging technologies for disaster risk management (DRM) in Nepal. This delves into specific technologies, including advanced connection and communication technologies, AI, big data analytics, autonomous vehicles and advanced robotics, examining their capabilities and potential contributions to DRM. Further, it discusses the possibility of implementing these technologies in Nepal, considering the existing policies and regulations, as well as the challenges that need to be addressed for successful integration. Design/methodology/approach For this review journal series of search strategy for identifying relevant journals, the initial examination of results, a manual assessment, geographical refinement, establishment of criteria for the final selection, quality assessment and data management, along with a discussion of limitations. Before delving into the relevant literature within the field of research interest, the authors identified guiding keywords. Further, the authors refined the list by filtering for articles specifically related to Nepal, resulting in a final selection. The final selection of these 95 articles was based on their direct relevance to the research topics and their specific connection in the context of Nepal. Findings The way technology is used to reduce disaster risk has changed significantly in Nepal over the past few years. Every catastrophe has given us a chance to shift to something innovative. The use of new emerging technologies such as artificial intelligence (AI), big data analytics, autonomous vehicles, advanced robotics and advanced connection and communication technologies are increasing for the purpose of generating risk knowledge, reducing disaster risk and saving the loss of lives and properties. The authors conclude that the successful implementation of smart systems and emerging technologies for disaster risk management in Nepal has the potential to significantly improve the country's resilience and minimize the impact of future disasters. By leveraging data-driven decision-making, enhanced connectivity and automation, Nepal can build a more proactive, adaptive and efficient disaster management ecosystem. Originality/value Studies on the application of smart systems in Nepal are limited and scattered across different database. This work collects together such literatures to understand the current status of the application of the smart system and technologies and highlights the challenges and way forward for effective disaster risk management in Nepal. Therefore, this work is an original one and adds value to the existing literatures.
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在尼泊尔应用智能系统和新兴技术减少和管理灾害风险
本文旨在探讨智能系统和新兴技术在尼泊尔灾害风险管理(DRM)中的应用。本文深入探讨了具体技术,包括先进的连接和通信技术、人工智能、大数据分析、自动驾驶汽车和先进的机器人技术,研究了这些技术的能力和对灾害风险管理的潜在贡献。此外,它还讨论了在尼泊尔实施这些技术的可能性,同时考虑到现有的政策和法规,以及为成功整合而需要应对的挑战。设计/方法/方法对于本综述,期刊系列包括用于确定相关期刊的搜索策略、结果初审、人工评估、地域细化、建立最终选择标准、质量评估和数据管理,以及对局限性的讨论。在深入研究感兴趣领域的相关文献之前,作者确定了指导关键词。此外,作者还通过筛选与尼泊尔具体相关的文章来完善列表,最终确定了最终选题。这 95 篇文章的最终选择是基于它们与研究课题的直接相关性及其与尼泊尔的具体联系。研究结果在过去几年中,尼泊尔利用技术降低灾害风险的方式发生了显著变化。每一次灾难都给了我们向创新转变的机会。人工智能(AI)、大数据分析、自动驾驶汽车、先进的机器人技术以及先进的连接和通信技术等新兴技术的使用越来越多,其目的是产生风险知识、降低灾害风险并挽救生命和财产损失。作者得出结论,在尼泊尔成功实施智能系统和新兴技术进行灾害风险管理,有可能显著提高该国的抗灾能力,最大限度地减少未来灾害的影响。通过利用数据驱动决策、增强连通性和自动化,尼泊尔可以建立一个更加积极主动、适应性更强、效率更高的灾害管理生态系统。这项工作汇集了这些文献,以了解智能系统和技术的应用现状,并强调尼泊尔有效灾害风险管理所面临的挑战和前进方向。因此,这项工作具有原创性,为现有文献增添了价值。
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来源期刊
CiteScore
3.40
自引率
6.20%
发文量
49
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