Research on the Design and Sustainable Evaluation of Metro-Based Underground Logistics Systems

Abstract

Along with the development of underground space and the increasing maturity of automation technology, a new type of transport and supply system called “Underground Logistics System (ULS)” is gradually gaining attention in various countries as an effective means of solving the problem of urban traffic congestion. However, the high cost and risk of underground construction are the main factors that have led to ULS remaining in the theoretical stage for the time being. Therefore, the paper aims to design a solution for implementing a metro-based underground logistics system (M-ULS). Firstly, the paper uses the K-mean clustering algorithm and genetic algorithm for path planning of conventional ground transportation and M-ULS. Secondly, the article is a retrofitting design for a site that combines the metro with an underground logistics system and simulates the underground logistics nodes with the help of AnyLogic simulation software. Finally, the paper explores the economic and environmental value of M-ULS in terms of carbon emissions, time costs, fuel costs, and environmental pollution costs. The research provides a solution to alleviate urban traffic congestion, reduce environmental pollution and promote sustainable urban development.

Keywords

• Metro-based underground logistics system
• K-mean clustering algorithm
• genetic algorithm
• AnyLogic simulation
• sustainable urban development