With the rapid expansion of urban transportation networks, metro systems have become a key indicator of a city’s development and prosperity [1]. However, metro operations are occasionally disrupted by various incidents, among which fire disasters pose one of the most significant threats to passenger safety, infrastructure, and property. In the event of a metro fire, a swift and effective emergency response is crucial not only for minimizing casualties and economic losses but also for enhancing the resilience of metro operations. Therefore, the rapid identification and analysis of real-time fire emergency data are essential for formulating timely and effective countermeasures.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Emergency Rescue Planning

  • Limao Zhang,
  • Renfei He,
  • Qiong Liu,
  • Paolo Gardoni

摘要

With the rapid expansion of urban transportation networks, metro systems have become a key indicator of a city’s development and prosperity [1]. However, metro operations are occasionally disrupted by various incidents, among which fire disasters pose one of the most significant threats to passenger safety, infrastructure, and property. In the event of a metro fire, a swift and effective emergency response is crucial not only for minimizing casualties and economic losses but also for enhancing the resilience of metro operations. Therefore, the rapid identification and analysis of real-time fire emergency data are essential for formulating timely and effective countermeasures.