Agentic Hazard Mapper: Emulating Expert Map-Making with AI Agents for Risk Communication· Agentic Hazard Mapper：用 AI 代理系统模拟专家制作风险地图
Hazard maps are essential tools for public risk communication, preparedness, and evacuation planning, yet effective cartographic design is not always ensured due to limited access to cartographic expertise across local governments and communities. We present Agentic Hazard Mapper, a multi-agent system that automates hazard-map production by emulating professional cartographic workflows and iterative design trade-offs while adapting design decisions to different data, locations, and hazard contexts. We conducted a formative study with map experts to inform the system design, followed by a user study and interviews with map experts and hazard practitioners. The generated maps improved participants' spatial understanding and evacuation-planning performance, reduced perceived workload and task
通过多代理系统自动化生成风险地图，提高公共风险沟通的有效性。
- 核心方法
- Agentic Hazard Mapper 是一个多代理系统，通过模拟专业制图流程和设计决策，适应不同数据、地点和灾害情况，自动生产高质量的风险地图。
- 适合谁读
- 研究者 / 工程师 / 政府决策者 / 社区应急管理人员
- 要解决的问题
- 当前各地政府和社区在制作风险地图时缺乏专业的制图知识，导致地图设计效果不佳，影响风险沟通和应急规划的效率。
- 关键实验
- 包括形成性研究、用户研究和专家访谈，验证了系统生成的地图在提高参与者空间理解和疏散规划表现方面的效果。
- 主要贡献
- 系统能够提高生成的风险地图在空间理解和疏散规划上的性能，减轻用户的工作负担和任务复杂性。
- 意义与局限
- 该系统有望提高公共风险沟通和应急准备的效率和质量，但其适用性和效果可能受限于特定的数据和情境。