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Network Planning Method for Capacitated Metro-Based Underground Logistics System

机译:基于电容地铁地下物流系统的网络规划方法

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摘要

Underground logistics system (ULS) tends to alleviate traffic congestion, increase city logistics efficiency, mitigate the negative effects of traditional logistics processes, and improve the sustainability of urban areas. However, the relatively high cost and risk of underground construction are serious obstacles to implementing ULS. Integrating ULS into modern metro system (M-ULS) is considered to be feasible and efficient to solve this problem. This paper aims at developing a metro system-based ULS network planning method. First, an evaluation model of underground freight volume was proposed considering service capacity, freight flow, and regional accessibility. Second, a set of mixed integer programming model was developed to solve the problem of optimal nodes’ location-allocation (LAP) in the network. Then, a hybrid algorithm was designed with a combination of E-TOPSIS, exact algorithm, and heuristic algorithm. Finally, two lines of Nanjing Metro were selected as a case to validate the proposed planning method. The results showed that the new system can significantly reduce the construction costs of ULS and alleviate traffic congestion. Moreover, the potential of metro stations and underground tunnels can be fully exploited to achieve higher logistics benefits.
机译:地下物流系统(ULS)倾向于缓解交通拥堵,增加城市物流效率,减轻传统物流流程的负面影响,提高城市地区的可持续性。然而,地下施工的相对较高的成本和风险是实现ULS的严重障碍。将ULS集成到现代地铁系统(M-ULS)中被认为是解决这个问题的可行和有效。本文旨在开发基于地铁系统的ULS网络规划方法。首先,建议考虑服务能力,运费和区域可访问性的地下货运量的评估模型。其次,开发了一组混合整数编程模型来解决网络中最佳节点位置分配(LAP)的问题。然后,使用E-TOPSIS,精确算法和启发式算法的组合设计了一种混合算法。最后,选择两条南京地铁以验证建议的规划方法的情况。结果表明,新系统可以显着降低ULS和缓解交通拥堵的建设成本。此外,可以充分利用地铁站和地下隧道的潜力来实现更高的物流效益。

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