With recent advances in performance and complexity, multi-party computation, a privacy-preserving technology which allows for joint processing of hidden input data, has lately been found to be applicable in a number of use cases. Despite existing implementations for secure data aggregation, substantial adoptions of the technology remain limited in the industry, in particular within the domain of smart mobility. This paper addresses the current issue of the mobility data shortage by investigating the potential and feasibility of multi-party computation to share data with policy makers, and proposes a solution based on additive secret sharing. On the basis of a literature study and interviews with infrastructure management authorities, as well as micro-mobility service providers, the drivers of, and barriers to employing a secure data aggregation scheme were identified. The results suggest that the technical solution appears feasible given existing implementations, while trust, acceptance and willingness of participants emerged as obstacles to a realisation.