Applying the AHP to smart mobility services: A case study

Making decision is a far from straightforward process, as it often requires to consider a number of complex criteria whose importance relies on the experiences and the preferences of the decision makers involved. Being able to structure and reproduce this knowledge is a challenging issue in the context of strategic decision making, and also common BI analytics can benefit from the joint use of that knowledge. As a contribution, in this work we describe how a multi criteria decision making technique, i.e., the Analytic Hierarchy Process, has been applied to a smart-mobility context, where the decision goal was to weight the factors that support the innovation of a smart mobility service in the city of Milan. The AHP has been selected as it allows considering both tangible and intangible factors that guide the decision within the model. We employed three distinct kind of stakeholders, namely service providers, over 35, and under 35 users and we synthesised a ranking of criteria on the basis of the preferences they provided. The results shed the light on the different judgments that each group gives to the identified criteria in terms of both ranking and importance.