The MPAT Tool, developed by Vianova and Rebel enables cities to test best approaches for implementing shared and micro mobility policies, by focusing on the implementation of good policies, rather than on mitigation of bad aspects. Good policies include for example the maximisation of positive benefits such as CO2 reduction. The tool was piloted in Amsterdam and Tallinn.

In Amsterdam, the MPAT team built two sets of 30 recommendations for mobility hub locations, using a mix of CO2 savings potential, predicted demand, and app opens which did not lead to trips. The MPAT model proposed locations optimization for different objectives - hubs which maximize potential CO2 savings and hubs which can support better public space management by organising demand.

In Tallinn, the MPAT team built a model of existing usage, then identified those corridors in the city where trips under 5 kilometers were disproportionately taken by car. Using shared mobility data from electric bikes and scooters, the MPAT team was able to identify 50 gaps in the cycle path network and simulate the effect of 2%, 5%, and 10% growth in usage of the corridors, for both shared devices and private bicycles.

In both cases, the tool addressed concrete challenges. While the center of Amsterdam sees exceptionally high cycling and public transport usage, there are outlying areas that remain car-dependant. In order to achieve targets, the City hopes to shift these users to shared bikes, mopeds, and cars through the use of mobility hubs. Tallinn has a robust cycling network but, gaps in the network affect its utility.