This study delves into the intricate realm of Shapley allocations and their application in the context of transport costs. Shapley values offer an equitable approach to allocating costs among participants in a cooperative game, and their utility in the logistics domain is of paramount importance. However, the computational complexity of Shapley values often necessitates the use of proxy metrics. This research systematically investigates a range of proxy metrics to approximate Shapley allocations for transport costs. Through rigorous analysis and empirical experiments, we evaluate the accuracy and applicability of these proxies, shedding light on their suitability for real-world logistics scenarios.