The current work presents a deterministic bi-objective sustainable crowdshipping problem optimizing both the cost and CO2 emissions, referred to as the Bi-Objective Vehicle Routing Problem with Multi types of Occasional Drivers and Time Windows (BO-VRPMODTW). The goals of this work are to verify the trade-of between transportation cost and environmental emissions generation, considering different types of ODs, and to verify the impact in different location spreading for customers. Preliminary experimental results show the gain both in terms of cost and CO2 emissions of having ODs of different types. The use of ODs in the non-dominated solutions is also analyzed.