A People-Centered Collaborative Framework and Development Strategies for Urban Early-Warning Systems
Min Ouyang , Zekai Cheng , Yiqiong Zhang , Jiaxin Ma , Zhiyuan Li , Ling Luo , Siqin Xie , Hongwei Wang , Lieyun Ding
Strategic Study of CAE ›› 2025, Vol. 27 ›› Issue (5) : 279 -293.
A People-Centered Collaborative Framework and Development Strategies for Urban Early-Warning Systems
The combination of climate change and rapid urbanization has led to the emergence of multi-hazard, cascading, and fast-evolving urban disasters in China. The final stage of early warning information transmission, from "reaching individuals ‒ understanding ‒ acting," remains a prominent shortcoming. This study, adhering to the view that "people are both recipients of warning services and active participants," proposes a people-centered collaborative framework and development strategies for urban early-warning systems (EWS), serving as a localized practice of the United Nation's Early Warnings for All initiative. Building on the clarification of urban EWS concepts and the orientation of people-centered collaboration, we identify the current conditions and challenges of developing such systems. The challenges include insufficient identification and response to cascading hazard chains, inadequate impact-based prediction and conversion into actions, and lack of institutionalized public participation and good-faith immunity. We also highlight development opportunities arising from policy momentum, technological advances, and widespread digital endpoints. An integrated construction framework is proposed, featuring a core structure of "three-tier actors ‒ twin-chain support ‒ technology enablement," together with an analysis of key elements and their coupling. Finally, we suggest development strategies including building unified data and technology foundations with closed-loop capacities, improving institutional design to clarify responsibilities with adequate safeguards, strengthening community-based organization and mobilization, and advancing through piloting, evaluation, scaling-up, and continuous improvement. These approaches collectively aim to enhance China's urban early-warning capabilities.
early warning systems / urban / people-centered collaboration / cascading hazards / impact-based prediction / good-faith immunity
Funding project: Chinese Academy of Engineering project "The Challenges and Countermeasures of Urban Safety"(2022-JB-02)
National Key R&D Program of China(2023YFC3805104)
National Natural Science Fund Project(72371109)
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