复杂决策情境下轴辐式地下物流网络规划方法研究

发展“地下物流系统（Underground Logistics System，ULS）”，是解决日益加剧的“大城市病”、充分利用地下空间构建综合立体货运网络的战略性举措。2021年党中央，国务院发布《国家综合立体交通网规划纲要》，明确提出发展地面与地下融合协同的多式联运网络。本项目基于大型复杂工程项目生命周期理念和全局建模优化思想，针对复杂决策情境下多级轴辐式地下物流网络规划方法展开前瞻性研究。1）解析影响ULS运营性能的特征参数；2)提出货运需求量和成本参数混合不确定条件下三级轴辐式城市ULS网络“工程选址—需求分配—路径生成”的鲁棒优化方法；3)构建资源受限下ULS网络开发时序和资源配置模型并提出混合优化—仿真方法。对于ULS网络的深入解析可有效促进城市物流、地下空间和工程管理等学科领域的知识融合，为立体化综合交通运输体系合理布局和无缝衔接提供支撑，从根本上突破城市物流发展瓶颈。

The development of Underground Logistics System (ULS) is a strategic measure to solve the growing problem of “urban disease” and make full use of underground space to build a comprehensive multidimensional freight network. In 2021, the CPC Central Committee and the State Council issued the Outline of the National Comprehensive Multidimensional Transport Network Plan, which clearly proposed the development of a multi-modal transport network that integrates ground and underground. Based on the concept of life cycle of large complex engineering project and the theory of global modeling optimization, the research carries out a prospective study on the planning method of multi-level hub-and-spoke ULS network under complex decision-making situation. First, the characteristic parameters that affect the operational performance of ULS are analyzed. Second, a robust optimization method of “project location, demand allocation and path generation” for three-stage hub-and-spoke urban ULS network under mixed uncertainty of freight demand and cost parameters is proposed. Third, the ULS network of development timing and resource allocation model with resource constrained is built, and then a hybrid optimization-simulation method is proposed. The in-depth analysis of ULS network can effectively promote the knowledge integration of urban logistics, underground space and engineering management, which provide support for the rational layout and seamless connection of three-dimensional comprehensive transportation system and fundamentally break the development bottleneck of urban logistics.