Optimization of Urban Metro-based Underground Logistics System Network with Hub-and-Spoke Layout

doi:10.16182/j.issn1004731x.joss.20-0196

Abstract

Abstract: Dual application of passenger commuting and underground logistics based on urban metro (M-ULS) provides a solution for traffic congestion. A three-stage optimization approach for the hub-and-spoke M-ULS network is proposed. An Entropy-TOPSIS model for underground flow screening was established based on indicators of freight flows unity, order priority and regional accessibility, considering facility capacity constraints, a location-allocation-routing combinatorial model with construction and operation costs objectives is proposed, Set Coverage Exact Algorithm, Adaptive Immunity Clone Selection Algorithm and Floyd-Warshall Algorithm are developed. Geographic information statistics of Nanjing is applied as the benchmark for real-world simulation. Results show that the modeling and optimization method can be applied to obtain the best configurations schemes of M-ULS network with high efficiency. M-ULS system with networked operations can significantly reduce the road freight traffic and enhance the urban road service capacity.

Key words: city logistics, underground logistics system, metro, network planning, location, mathematical modeling, immune algorithm

CLC Number:

U121
TP391

Ren Rui, Hu Wanjie, Dong Jianjun, Chen Zhilong. Optimization of Urban Metro-based Underground Logistics System Network with Hub-and-Spoke Layout[J]. Journal of System Simulation, 2021, 33(7): 1699-1712.

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