Lisbon will be used as a case study for five principal reasons.

First, an association between social exclusion, mobility behavior, and income in Lisbon has already been shown.

Second, transportation network companies (TNCs) and registered users are growing. Still, their service areas are concentrated exclusively in the center of Lisbon, where PT accessibility is higher.

Third, the municipality welcomes these SMS and implements several support policies and projects without evidence that MaaS is replacing car trips.

Fourth, Lisbon presents a significant car dependency and a diminishing share of public transport (which the COVID-19 social isolation measures might contribute to).

Finally, the research team has ample knowledge and prior research on Lisbon’s land use, transportation, and socio-territorial inequalities.

It easily accesses key stakeholders, facilitating data acquisition, application, and output dissemination. Methodologically, a mixed-methods approach will be adopted to evaluate the fairness of a situation (without MaaS) and the intervention (with MaaS). The quantitative methodology will analyze the entire metropolitan area (18 municipalities). The qualitative methods will focus on the city of Lisbon and two distinct suburban municipalities: Cascais, a medium-to-high social class municipality, in which there are already some SMS, and Vila Franca de Xira, a medium-to-low social class municipality, in which SMS is nonexistent.Poderá ser um artista que pretende apresentar-se e mostrar o seu trabalho, ou poderá ser uma empresa com uma missão para descrever.