Optimization of Source Organization Based on Gravity Model -- Taking Chengdu Europe Express Railway Goods as an Example

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Abstract

China's unique geographical location allows for a trade model that combines land and sea. Among them, western China is a strategic hinterland that can balance the development of land and sea power trade domestically, and can utilize the Chengdu Europe express railway to develop the transportation industry in western China. However, there are many problems in the operation of the Chengdu Europe Express Railway, such as chaotic supply organization and fierce competition among supply organizations. In this paper, the grey prediction model is used to predict the freight volume of the Chengdu Europe Express Railway, and the necessity of optimizing the freight source organization of the Chengdu Europe Express Railway is obtained. The fuzzy cluster analysis method is used to select alternative distribution centers for 20 cities and states in Sichuan (except Chengdu), and the principal component analysis method and Gravity model are used to obtain the establishment plan of the distribution center of the freight source, so as to design a freight source organization plan with a more development trend of the Chengdu Europe Express Railway.
基于重力模型的货源组织优化——以成都欧快线货物为例
中国独特的地理位置允许一种陆海结合的贸易模式。其中,中国西部是国内陆海力量贸易平衡发展的战略腹地,可以利用成欧高速铁路发展西部交通运输业。然而,在成欧快线运营中存在着供应组织混乱、供应组织竞争激烈等诸多问题。本文运用灰色预测模型对成欧快线货运量进行预测,得出了成欧快线货源组织优化的必要性。采用模糊聚类分析法对四川省20个市州(除成都外)的备选集散中心进行选择,并运用主成分分析法和重力模型得到货源集散中心的建立方案,从而设计出更具发展趋势的成都欧快线货源组织方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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