# Systematic transformation of urban cold chain networks: From cross-regional dependencies to sustainable local excellence

## TL;DR

This paper presents a framework to improve urban cold chain logistics by transforming inefficient cross-regional systems into sustainable local networks, reducing costs and emissions while improving product quality.

## Contribution

A novel hierarchical optimization framework that reconfigures cold chain networks to simultaneously improve economic, environmental, and service outcomes.

## Key findings

- A 44.1% reduction in cost and carbon emissions was achieved in a real-world urban agglomeration.
- Product freshness improved by 21.9% through the optimized network design.
- Statistical analysis confirmed high significance (p < 0.001) and a Transformation Effectiveness Coefficient of 1.34.

## Abstract

Urban agglomerations in developing regions face cascading inefficiencies in cold chain logistics, driven by structural dependencies on cross-regional distribution that generate excessive costs, carbon emissions, and quality deterioration. This study develops and empirically validates a systematic transformation framework that utilizes hierarchical optimization to reconfigure these inefficient networks into integrated, sustainable local systems. Our approach coordinates strategic facility location with operational vehicle routing, enabling emergent, system-level improvements that transcend conventional optimization. Empirical validation using 35 supermarket stores in the Hohhot-Baotou-Ordos-Ulanqab (HBOU) urban agglomeration demonstrates substantial, concurrent outcomes under practical conditions: a 44.1% reduction in both cost and carbon emissions, and a 21.9% enhancement in product freshness. Statistical analysis confirms high significance (p < 0.001), with a resulting Transformation Effectiveness Coefficient of 1.34, signifying a paradigm-level improvement. The framework reveals that apparent trade-offs between economic, environmental, and service objectives can be systematically resolved through strategic network reconfiguration. These findings advance urban logistics transformation theory by providing a reproducible, data-driven framework for designing sustainable distribution systems, offering significant policy and practical implications for comparable urban contexts globally.