Dixit, A; Chauhan, R and Shaw, R (2025) Application of smart systems and emerging technologies for disaster risk reduction and management in Nepal. International Journal of Disaster Resilience in the Built Environment, 16(3), pp. 328-343. ISSN 1759-5908
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | disaster management; Himalaya; innovation; smart system; technologies |
| Index terms: | data management, database, automation, disaster management, implementation, artificial intelligence, emerging technology, robotics, Nepal, strategy, big data, quality assessment, journal, connectivity, disaster risk, data-driven decision-making, disaster risk reduction, integration, methodology, regulation |
| Subjects: | management, organizational analysis, data management, decision analysis, information systems, political science, artificial intelligence, research methods, automation and robotics, Geography, financial risk, networking, environmental hazards, quality assurance, research dissemination and communication, innovation and technology management, contractual arrangements |
| Topics: | Business Strategy, Cost Management, Research Practice, Governance, Digital Applications, Organizational Design, Geographical Context, Risk Management, Sustainability, Procurement, Quality Management |
| Descriptive scope: | 3 PCT |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here