Positioning and Site Selection of Rural Logistics Centers in Anhui Province: A Study Based on the New Round of Land System Reform

Abstract

This study addresses the optimization of rural logistics center positioning and site selection in Anhui Province, China, under the context of the new round of land system reform. By integrating the Holt-Winters seasonal multiplicative model for demand forecasting and the Maximum Coverage Model (MCM) for spatial optimization, this research proposes a data-driven framework to align logistics infrastructure with agricultural modernization goals. Empirical analysis combines GIS data, economic indicators, and a summer survey of 150 stakeholders to validate model assumptions and identify critical challenges. The results indicate that 22 strategically located logistics centers can achieve 89% village coverage within a 15,000-meter radius, significantly improving distribution efficiency while reducing operational costs. This study contributes to rural revitalization by demonstrating how land policy reforms can be leveraged to design adaptive logistics networks, offering a scalable model for other agricultural regions.