As relações entre mobilidade urbana, uso do solo e deslocamentos de usuários de redes sociais como apoio ao planejamento de transportes

Abstract

Location-Based Social Networks (LBSN) allow users to confirm their locations through check-ins. Recent studies indicate that these data can be collected and employed in several studies, for instance, obtaining an OD matrix. Data obtained by traditional methods of obtaining the OD matrix are poorly updated, occurring every 10 years. In the city of Fortaleza, for example, data collected in 1996 through a household OD survey are still used. Thus, this research aimed to analyze the applicability of data from social networks, for instance, Twitter and Instagram, to obtain an OD matrix. In order to achieve this purpose, a method for collecting and processing data from check-ins, obtaining the OD matrix and defining the purposes of travel, in addition to identifying the socioeconomic profile of users was systematized. Subsequently, an analysis of travel variability between weekdays and weekends was carried out. Finally, the relationship between the OD matrix based on social networks data and an external OD matrix was stablished through a comparative analysis. The results indicated that most of the trips obtained are for work purposes. In addition, it was observed a strong relationship between the origins (households) of travel and households belonging to individuals of medium and high income, and a weak relationship with low-income individuals. The trips obtained from social networks data presented a sort of transition between working days and weekends, more precisely on Thursdays. In order to prove the reliability of the data, it can be verified that the frequency of travel for the purpose of work during the week is higher than that of the other purposes, and the opposite occurs on weekends. Based on statistical tests a similarity between the matrices was identified, except for travel destinations for the purpose Other, i.e., the OD matrix from social networks data referring to the purpose Other behaved differently when compared to the TRANUS OD matrix for this purpose. In general, these matrices of social networks data can be applied in the area of transport planning, more precisely as a complement to the household OD survey. Furthermore, it can be useful as an input to the distribution model, which can provide a better comprehension of the flow of travel within the urban environment. Although this OD matrix can be used in several areas of transport planning, its bias and limitations must be emphasized.