城市轨交网络快速发展,轨交网络成为市民出行的重要方式。近几年发生的公共安全事件,如伦敦9·15地铁爆炸事件、郑州7·20暴雨灾害等表明:作为轨交网络的重要组成部分,轨交站点地下公共空间存在的隐患正严重影响着市民安全。本文基于“模拟—评价—识别—优化”的研究思路,做出了如下工作:第一,在文献研究的基础上建立轨交站点地下公共空间安全韧性评价体系;第二,遴选大连市3个商业型轨交站点,实地调研获取站点空间布局特征及高峰时段客流信息,通过Anylogic平台模拟高峰时段各站点地下公共空间运行状态、疏散状态并获取关键数据;第三,基于仿真实验结果对各站点安全韧性进行评价,识别轨交站点地下公共空间安全韧性薄弱环节,通过专项研究提出优化方案,总结轨交站点地下公共空间安全韧性建设策略。研究可为提升城市地下空间安全韧性提供一定参考。
The rapid expansion of urban rail transit networks has established the subway as a crucial mode of transportation for urban dwellers. Recent public safety incidents, like the 9/15 London subway bombing and the 7/20 Zhengzhou rainstorm disaster, as an important part of the rail transit network have highlighted the significant impact of rail transit station underground public spaces on citizen safety. This study adopts the "simulation-evaluation-identification-optimization" research approach. Initially, through a literature review, a resilience evaluation system for the safety of rail transit station underground public spaces will be established. Subsequently, three commercial rail transit stations in Dalian will be chosen. On-site investigations will be conducted to gather spatial layout characteristics and peak-hour passenger flow details. Using Anylogic software, the operation and evacuation status of underground public spaces at each station during peak hours will be simulated, and essential data will be collected. Thirdly, the safety resilience of each station will be assessed based on simulation experiment results. Weaknesses in the safety resilience of rail transit station underground public spaces will be identified, and optimization solutions will be proposed through specialized research. Finally, a construction strategy for enhancing the safety resilience of rail transit station underground public spaces will be summarized.
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