A Study of Distribution Problems Based on Express Transportation Networks
DOI:
https://doi.org/10.62051/d7jvc831Keywords:
Express Transportation, Rookie Station, K-means, Topsis, Floyd.Abstract
This article uses the distribution data of rookie stations in Jinan City to explore the allocation problem of express delivery transportation networks. Firstly, in response to the uneven spatial layout of rookie Station, a corresponding evaluation index system was established based on K-means and TOPSIS models. The results showed that rookie Station exhibited characteristics of agglomeration in the central urban area and dispersion in the remote urban area. Secondly, by establishing a Floyd model to plan the route, the most reasonable transfer center was determined, and the results showed that the Shizhong District was the most suitable transfer station for Jinan City, while Zhangqiu District was selected as the second transfer station. Finally, based on the population density and express delivery demand in Jinan City, a model for express delivery allocation business points was established, and the optimal solutions for express delivery allocation business points in each district were obtained.
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[1] Chang Lan, Liu Pai. Optimization of Green Express Multimodal Transport Network from the Perspective of Carbon Trading [J] Journal of Chongqing Electric Power College, 2023, 28 (06): 37-43.
[2] Li Yue, Qin Wei. Redesign of Express Delivery Transportation Pathways Based on Hybrid Axis Spoke Network [J]. Industrial Engineering, 2023,26 (6): 93-100.
[3] Xie Xuqiang. A Study on the Comprehensive Optimization of Delivery Network Structure and Transportation Paths under the Deep Integration of Manufacturing and Express Industries [D]. Beijing University of Posts and Telecommunications, 2024.
[4] Xue Han. A Study on the Multi stage Freight Flow Dynamic Allocation of Highway Transportation and High speed Rail Intermodal Transportation [D]. Dalian Maritime University, 2023.
[5] Shen Chen. Construction of air rail intermodal transportation network and transportation path selection in the express delivery industry [D] Dalian Jiaotong University, 2022.
[6] Zheng Changjiang, Hu Huan, Du Muqing. Structural design of multimodal express delivery network considering hub failure [J]. Journal of Jilin University (Engineering Edition), 2023,53 (08): 2304-2311.
[7] Yang Zihan. Research on Optimization of High Speed Rail Express Transportation Scheme Adapting to Time Limit Segmentation Needs [D]. Beijing Jiaotong University, 2022.
[8] Deng Xiaozhen. Research on Optimization of High Speed Rail Express Train Transportation Network under the Evolution of Express Delivery Demand Space [D]. Southwest Jiaotong University, 2022.
[9] Zhang Fadong, Xie Ronghui, Zhang Wenchang, Wang Mingfei. Prediction of express delivery volume between major cities under the background of air rail intermodal transportation [J]. Logistics Technology, 2019,038 (8): 59-63.
[10] Liu Yan. Research on Optimization of Express Delivery Network Based on Multiple Transportation Methods [D]. Beijing University of Posts and Telecommunications, 2019.
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