Agentic Hazard Mapper：用 AI 智能体模拟专家制图流程生成灾害风险地图
Agentic Hazard Mapper: Emulating Expert Map-Making with AI Agents for Risk Communication
AI 导读
研究者提出 Agentic Hazard Mapper，一个多智能体系统，通过模拟专业制图工作流和迭代设计权衡来自动化灾害风险地图制作，并能适配不同数据、地点和灾害情境。专家访谈与用户研究显示，生成的地图提升了参与者的空间理解和疏散规划表现，降低感知工作量与任务完成时间，且多数参与者更偏好这些地图而非对应市政地图。
正文 · 原文
Abstract: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 completion time, and were generally preferred over corresponding municipal maps. We further discuss human oversight, adaptation across users and communication contexts, and opportunities to extend agentic support across broader stages of hazard-map production and risk communication.
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.32738 [cs.AI] |
| (or arXiv:2610.32738v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.32738 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Sidi Wu [view email]
[v1]
Fri, 23 Oct 2026 14:53:40 UTC (35,109 KB)
来源：arXiv cs.AI · arxiv.org