Optimization of Logistics Routes and Forecasting Trade Flows between China and Turkmenistan

Abstract

This study aims to optimize logistics routes between China and Turkmenistan and forecast trade flows using modern quantitative methods. Employing the gravity model, VRP model, linear regression, and ARIMA methods on data from 2021 to 2023, the research assesses trade flows, identifies efficient logistics routes, and predicts future trends. A SWOT analysis evaluates the impact of economic stability, infrastructure development, and political relations on logistics operations. Integrating SWOT results with quantitative data, the study provides recommendations for optimizing transportation and trade flows. The findings, based on extensive data analysis of economic indicators and transportation characteristics, offer strategic solutions to minimize costs, reduce delivery times, increase operational transparency, and enhance the competitiveness and resilience of transport corridors. This comprehensive approach aims to improve international logistics efficiency and support foreign economic activities.