The rapid growth of the e-commerce market and the expansion of untact consumption have led to a surge in demand for logistics infrastructure, particularly in mega-cities. However, many mega-cities in major countries face significant challenges in expanding infrastructure due to high land costs, a lack of suitable sites, environmental concerns, and increasing opposition from local residents. This study proposes a Mixed-Integer Linear Programming (MILP) model based on a three-tier logistics network consisting of supply points, candidate sites, and demand nodes, utilizing tollgate areas along the Seoul Ring Expressway as new logistics hub candidates. The model integrates installation costs, transportation costs, and environmental costs, allowing for flexible weighting of each component to accommodate various policy and strategic priorities. Scenario-based simulation results show that the Gimpo, Uiwang-Cheonggye, and Guri-Namyangju tollgates were repeatedly selected as optimal locations, demonstrating superior accessibility to urban areas and strong connectivity with existing transport infrastructure. By expanding previous centrality-based approaches to include quantitative optimization modeling, this study provides a practical framework for establishing sustainable logistics hubs by utilizing idle land along metropolitan expressways.
Intaek Gong (Sat,) studied this question.
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