陈旭浩,吕莹,孙会君,王兴蓉

• 1:北京交通大学
• 2:交通运输学院
• 3:北京交通大学
• 4:交通系统科学与工程研究院

摘要(Abstract)：

近年来我国重大交通工程建设中的突发事件频繁发生，且呈现救援条件复杂，影响后果不确定等特征，因此研究多交通方式协同下的应急救援路径优化具有重要意义。本文以复杂地质环境下重大交通工程建设中的突发事件为背景，基于条件风险价值衡量由于救援时间导致的伤亡损失后果，采取多种交通方式协同进行救援。考虑到伤员数量和物资需求的不确定性以及救援资源分配的公平性，建立了最小化总风险和总成本的双目标鲁棒优化模型，用以决策多种交通方式的协同救援路径，以及物资运输和伤员转移方案。本文基于鲁棒对等转化和ε-约束法设计了相应的求解算法，并使用两个路网算例进行验证。研究结果表明，救援路径总风险与总成本之间存在着权衡关系，采用多交通方式协同救援可有效降低伤亡风险；随着伤员数量和物资需求不确定程度的增加，总风险和总成本均呈现增加趋势，管理者可依据其对风险的偏好程度决策不同不确定性水平下的最优救援方案；此外，与不考虑公平性约束相比，受灾单元物资需求和伤员转移需求满足率的标准差分别降低了12.9和12.6，平均满足率分别提高了7.5%和8.4%，有效保障了救援资源分配的合理性和公平性。本文所建立的鲁棒模型可有效处理不确定条件下的应急响应问题，帮助决策者制定合理的路径方案，以及物资运输和伤员转移方案。

关键词(KeyWords)： 应急响应;车辆路径问题;条件风险价值;鲁棒优化;多交通方式协同

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金专项基金项目（71942006）;国家自然科学基金重大项目（72091513）

作者(Author): 陈旭浩,吕莹,孙会君,王兴蓉

DOI: 10.19961/j.cnki.1672-4747.2022.09.004

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