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September 15, 2021Currently, mobility is one of the main concerns in urban areas. Mobility can be defined as the movement of people and goods efficiently and safely. It can be considered the capacity to travel when and where the passenger or goods need to go. Consequently, urban mobility is a means to an end: accessibility, meaning that citizens need to reach destinations to meet their needs and access the locations of their activities.
Mobility must also be sustainable and rely on various modes of transport, which may be traditional or the new forms that have arisen with the development of information and communication technologies (ICTs), to achieve accessibility.
As a result of this analysis and the fact that any intervention in the city must be based on a deep understanding of the urban entity, InLab FIB, through CARNET, has carried out an analysis of patterns of mobility and associated processes that are determined through systematic interactions between transport systems and land uses.
Traditionally, data are from road facilities that mainly belong to public administrations. From these data and population surveys, origin-destination matrices are extracted that provide information on where people start and finish their journeys in a certain city or area, during a fixed period of time.
The new sources of data from ICT open up a new paradigm and could contribute valuable information on mobility patterns, journey times and the origin-destination matrices. The MOBIDATA project explores sources from GPS tracker data to establish patterns of use of routes in a transport network, to infer the level of congestion or to obtain an origin-destination matrix. At methodological level, these data offer many opportunities. They not only provide information about the start and end of journeys, but also quite precise information on the routes that people take. Thus, it can be determined how many people are circulating on each street and in what types of vehicles they move, to identify the level of road congestion that exists.
Currently, work is being done on methodology to filter and process these data.
Other participants in the project are the German company PTV-AG. The budget is 15,000 euros and the project has taken 3 months (2021).
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