AI 中文总结
研究评估谷歌安卓地震警报系统在马尔马拉埃雷利地震中的表现，该系统能快速检测并发出警报，有较高真阳性率和精度，电话网络助力检测，接收者易采取保护行动，凸显众包技术和行为洞察可增强地震韧性。
AI 中文摘要
本研究对谷歌安卓地震警报（AEA）系统在土耳其马尔马拉埃雷利Mw 6.2级地震期间进行了全面评估。AEA在地震发生5.31秒后检测到该事件，向超过1600万用户发出警报。弱震动（MMI III）的预警时间长达150秒，中位数为56秒。虽然近源预警窗口较短，但系统总体上实现了90%的真阳性率和99%的精度。即使对于此次近海震中，电话网络的高密度也使得检测速度比传统台站更快。反馈数据显示，AEA接收者很可能采取保护行动，如蹲下、掩护和抓住，或警告他人。及时的警报大幅提高了用户参与度、感知有用性和未来信任度。这些结果凸显了众包技术和行为洞察如何能在大规模上有效增强地震韧性。
英文摘要
This study presents a comprehensive evaluation of Googles Android Earthquake Alert (AEA) system during the Mw 6.2 Marmara Ereglisi, Turkiye earthquake. AEA detected the event 5.31 seconds after its initiation, alerting over 16 million users. Warning times for weak shaking (MMI III) reached up to 150 seconds, with a median of 56 seconds. While near-source warning windows were shorter, the system achieved 90% true positives and 99% precision overall. The high density of the phone network enabled faster detection than traditional stations, even for this offshore epicenter. Feedback data shows AEA recipients were highly likely to take protective actions, such as drop, cover, and hold on, or warn others. Timely alerts substantially increased user engagement, perceived usefulness, and future trust. These results highlight how crowd-sourced technology and behavioral insights can effectively enhance seismic resilience on a massive scale.
