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Optimizing the design of an intra-city metro logistics system based on a hub-and-spoke network model
Tunnelling and Underground Space Technology ( IF 6.9 ) Pub Date : 2021-07-06 , DOI: 10.1016/j.tust.2021.104086
Laijun Zhao 1 , Jinpeng Zhou 1 , Huiyong Li 2, 3 , Pingle Yang 1 , Lixin Zhou 1
Affiliation  

Developing a combined surface road and underground logistics system based on a city’s metro network is a sustainable solution to alleviate urban traffic congestion and environmental pollution problems. In this study, we propose a three-stage optimization model with a two-level hub-and-spoke structure to establish an intra-city metro logistics network. First, we establish an entropy-weighted TOPSIS model to rank the transshipment capacity of metro stations based on four network centrality indicators, and use the results as the basis to classify metro stations into candidate hub and spoke nodes. Second, we establish a maximum-coverage location model that accounts for capacity constraints, and use a greedy randomized adaptive search procedure to identify spoke nodes. Third, with the objective of minimizing the transport distance within the whole network, we solve the hub-and-spoke network planning problem with capacity constraints by using a tabu search algorithm to identify the hub nodes. Finally, we take Shanghai as an empirical case study to demonstrate a suitable layout optimization scheme for Shanghai’s metro logistics network. Through sensitivity analysis, we then analyze the impact of different capacity parameters on the layout of the network.



中文翻译:

基于轴辐式网络模型的城内地铁物流系统优化设计

开发基于城市地铁网络的地面道路和地下物流系统是缓解城市交通拥堵和环境污染问题的可持续解决方案。在本研究中,我们提出了一个具有两级轴辐式结构的三阶段优化模型,以建立城内地铁物流网络。首先,我们建立了一个熵加权的TOPSIS模型,基于四个网络中心性指标对地铁站的转运能力进行排序,并以此结果为基础将地铁站分类为候选中心辐射节点。其次,我们建立了一个考虑到容量限制的最大覆盖位置模型,并使用贪婪的随机自适应搜索程序来识别辐条节点。第三,以最小化整个网络内的传输距离为目标,我们通过使用禁忌搜索算法来识别枢纽节点来解决具有容量约束的轴辐式网络规划问题。最后,我们以上海为实证案例,论证了适合上海地铁物流网络的布局优化方案。然后通过敏感性分析,分析不同容量参数对网络布局的影响。

更新日期:2021-07-06
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