Marketing in Public Transportation: a neural network approach
In Brazil, Public Bus Transportation (PBT) responds for the most part of displacements. However, due to low level of services provided by bus operators and the increase of informal/non-regulated transportation, there has been a sharp decrease on demand. In this context, planning agencies need now to focus on efforts towards comprehension and development of strategies to satisfy various necessities of PBT’s users. As a preliminary step in this direction, this work introduces the application of Neural Networks (NN) associated to Geographical Information System (GIS) in order to process the modeling of user’s preferences in PBT. A case study was conducted in Taguatinga City, Federal District, Brazil and results showed the potential of the proposed modeling.