Research on the Construction of Underground Logistics Network

Comparative analysis of economy and timeliness with truck transportation

Abstract

E-commerce industry continues to expand to promote urban express demand explosive growth, the current domestic urban goods distribution is highly dependent on fuel trucks road transport, the model brings traffic congestion, logistics cost escalation, tailpipe noise pollution and other multiple "big city disease". 2024 national highway freight turnover amounted to 76,847.5 billion tons kilometers, the number of goods vehicles exceeded 33.58 million shortboards. In 2024, the national road freight turnover will reach 7684.75 billion tons kilometers, and the number of trucks will exceed 33.58 million, and the short boards of diesel trucks with high emissions and low traffic efficiency will continue to magnify the pressure of urban governance. The urban subway network has the advantages of independent underground right of way, large capacity, all-weather stable operation, and low-carbon power drive, which can divert the pressure of ground freight transportation and build a multi-level underground logistics system. This paper takes Chongqing rail transit network as the research carrier, compares the ground truck transportation mode, and quantitatively demonstrates the economic and efficiency advantages of underground logistics system; adopts K-means clustering algorithm with improved Haversine formula to complete the siting of first and second level logistics nodes, matches the transit nodes of subway stations relying on Floyd algorithm, and solves the shortest transportation path between subway stations by Dijkstra algorithm, and establishes the shortest transportation path with the total transportation distance, and establishes the shortest transportation path with the total transportation distance. The shortest transportation path between subway stations is solved by Dijkstra's algorithm, which establishes a multi-level underground logistics optimization model with the goal of minimizing the total transportation distance. The empirical results show that compared with the traditional truck road distribution, the subway underground logistics network constructed in this paper reduces the comprehensive transportation cost by 32%~41%, shortens the average distribution time of a single batch of goods by 54%, and reduces the carbon emission of a unit of goods by 85%; relying on the existing subway stock resources without the need for large-scale construction of new corridors, which is of great value for popularization. The study can provide a quantitative reference and technical framework for underground logistics planning in mountainous and high-density rail transit cities in China.