Taking advantage of the roaming-in and roaming-out data collected by mobile network operators, we used Nommon's solution Mobility Insights to analyse the mobility between Galicia and the north of Portugal.
Within the framework of the BD4PT project, Nommon drove the development of WiseTransit descriptive analytics module, a software platform employing data fusion techniques to provide accurate, reliable, and continuously updated information on public transport demand to transport authorities and operators.
As specialists in mobility analysis, at Nommon, we utilised our Mobility Insights solution to study travel patterns and fan profiles during the 'Clásico Joven, one of the most iconic encounters in Mexican football between Club América and Cruz Azul, which also coincided with the reopening of the Estadio Azteca.
The World Bank combined Nommon's Mobility Insights and WiseTransit solutions to gain a comprehensive understanding of how the pandemic affected mobility patterns in different cities in Latin America, with particular focus on public transport demand.
As part of the AI4Cities programme, Nommon and Populus teamed up with the city of Stavanger to develop and implement an AI-driven solution that enables cities to predict shared mobility demand, the modal shift from private cars, and the corresponding CO2 savings, in order to support the design of sustainable mobility policies.
Using Mobility Insights, Nommon analysed mobility patterns in Saltillo, Mexico. The findings of this study provided the evidence base for the restructuring of the public transport system.
By combining mobile network data with public transport ticketing data, we have developed a methodology to estimate modal share or, in other words, the proportion of journeys made by each mode of transport.