| Issue |
E3S Web Conf.
Volume 683, 2026
2025 2nd International Conference on Environment Engineering, Urban Planning and Design (EEUPD 2025)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 5 | |
| Section | Environmental Ecology and Sustainable Development | |
| DOI | https://doi.org/10.1051/e3sconf/202668302009 | |
| Published online | 09 January 2026 | |
Digital intelligence-driven governance paradigms of urban social and economic resilience
1 Guangxi Key Laboratory of Seaward Economic Intelligent System Analysis and Decision-making, Guangxi University of Finance and Economics, Nanning 53000, China
2 Zhefeng Engineering Consulting Co., Ltd, Hangzhou 310021, China
3 Department of Engineering Management, School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China
* Corresponding author: bliu@csust.edu.cn
Urbanization intensifies cities' vulnerability to shocks like climate disasters, economic crises, and pandemics, making resilience critical for sustainable development. Digital intelligence—AI, IoT, blockchain, big data—transforms urban governance through data-driven decisions, real-time monitoring, and citizen engagement. This study analyses 232 peer-reviewed articles via bibliometric mapping and qualitative cluster analysis. Findings reveal three thematic clusters: technological innovations, economic resilience, and social resilience. Digital tools enhance robustness but risk excluding marginalized groups. Policy-technology alignment is paramount, yet gaps exist in equity frameworks, cultural embeddedness, and ethical governance. With 55% global urbanization (70% by 2050), integrating digital intelligence is indispensable for inclusive, adaptive cities. The findings are conducive to promoting inclusive digital resilience through multi-stakeholder co-design and algorithmic transparency.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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