The District Road Disparity and Its Impact on Logistics Distribution in Indonesia: A Regional Cluster Analysis
Abstract
This study examines road infrastructure disparities and logistics distribution across Indonesia’s 34 provinces using BPS (2025) data. Multivariate regression and cluster analyses reveal district/city roads (81.25% of total roads) as the dominant predictor of logistics vehicle density (β = 0.82; p < 0.01), with every 1,000 km increase associated with 8,200 additional vehicles. Cluster analysis reveals three regional patterns: Efficient Cluster (Java-Bali, >300 vehicles/km), Vulnerable Cluster (Sumatra/Kalimantan, 100-300 vehicles/km), and Critical Cluster (Papua/Maluku/East Nusa Tenggara, <100 vehicles/km). A critical finding exposes the paradox of national road development in Eastern Indonesia: Papua underscores a national road paradox: despite having Indonesia’s second-longest national roads (2,778 km), it exhibits the lowest logistics-vehicle density (93.4/km). Policy recommendations include reallocating budgets to district roads in Critical Clusters and implementing a tiered logistics system (matching vehicle classes to road hierarchies). These measures address infrastructure inefficiency and promote equitable logistics development.
How to Cite This Article
Akbar Tawaqqal, Romi Aprianto (2025). The District Road Disparity and Its Impact on Logistics Distribution in Indonesia: A Regional Cluster Analysis . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 6(4), 192-197.