Research on the Influencing Factors of Digital Intelligence-Empowered Urban Emergency Management Capability Based on Hybrid Decision Modeling
The deep integration of digital and intelligent technologies is reshaping urban disaster emergency management capabilities; however, improvements in their effectiveness are constrained by complex, multidimensional factors. Identifying the key driving factors and their mechanisms is of great significance for enhancing urban disaster emergency response capabilities. Based on literature analysis and expert consultation, this paper constructs a framework of factors influencing the digital and intelligent empowerment of urban emergency management capabilities. By employing the IT2FS-DEMATEL-AISM multi-criteria hybrid decision-making method, an analytical framework comprising factor identification, relationship decomposition, and hierarchical evolution is established. The study found that 15 key factors, including the soundness of emergency management systems and the level of smart platform development, exert a significant influence on urban emergency management capabilities through direct or indirect mechanisms. Meanwhile, the institutional framework for emergency management serves as a deep-seated driving force, systematically promoting the deep integration of emergency management operations with digital and intelligent technologies. This, in turn, enhances the operational effectiveness of urban disaster emergency response and comprehensively strengthens the city’s overall disaster emergency management capabilities.
Authors
- Fangming Cheng
- Di Wang
- Nannan Zhao
- Hu Wen
- Chang Su
- Jun Wang
Institutions
- Xi'an University of Science and Technology (CN)
Publication Details
- Journal
- Systems
- Published
- 2026-04-16
- DOI
- https://doi.org/10.3390/systems14040438
- Primary Topic
- Disaster Management and Resilience
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry of Education of the People's Republic of China
- National Office for Philosophy and Social Sciences
- National Social Science Fund of China
- Humanities and Social Science Fund of Ministry of Education of China