Mobility and urban planning are challenging tasks for public authorities, especially in densely populated cities. The city of Olinda, Pernambuco-Brazil, faces problems in traffic and access to places, making it necessary to identify new alternatives to improve urban mobility in Olinda. This study presents a decision support model to develop and evaluate new alternatives to do so. In the decision frontend, Value-Focused Thinking was applied to identify objectives and their respective attributes, and to create alternatives based on these objectives. As a result, 69 alternatives were generated, concatenated into 48, and categorized into four groups. Group 1 and Group 2 comprise 30 alternatives that serve the city's north side; however, they attend to the neighborhoods separately. Group 3 comprises 11 alternatives routes that serve the two areas together, this being the focus of this study, and Group four consists of 7 short-term alternatives. In the decision backend, the FITradeoff for ranking problematic method was applied to evaluate the 11 alternatives of Group 3. The study showed that it would be possible to improve mobility more urgently by making a few improvements to the itinerary on the existing routes. Therefore, the study discusses the possibility of starting to make progress in the urban system of the city by using fewer complex alternatives compared to setting up new routes.