气候变化与快速城镇化叠加，我国城市灾害呈现多灾种、级联、快速演化等特征，预警信息“到人 ‒ 看懂 ‒ 照做”的末端转化仍是突出短板。本文秉持“人既是预警服务对象也是参与主体”的观点，提出了人本协同城市早期预警体系（EWS）的建设思路与发展策略，可作为联合国倡导的“人人享有早期预警”理念的本土化实践方案。在阐释城市EWS基本概念、人本协同的发展导向基础上，系统辨识了人本协同城市EWS建设的基本态势，尤其是级联危险链识别与响应不足、基于影响的预测与行动转化不够、公众制度化参与及善意免责缺位等现实应用挑战，政策窗口、技术突破、终端普及等方面的发展机遇。提出了具有“三级主体 ‒ 双链支撑 ‒ 技术赋能”核心结构的人本协同城市EWS建设框架，分析了涉及的关键要素及其耦合关系。建议采取以数据和技术为底座、闭环一体化能力，完善制度建设、明晰责任并提供保障，以社区为纽带、深化组织与动员机制，开展试点和评估、扩大建设范围并持续改进等发展策略，全面增强我国城市早期预警能力。

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.