SOCIAL NETWORKS, BIG DATA AND TRANSPORT PLANNING

[EN] The characteristics of people who are related or tied to each individual affects her activitytravel behavior. That influence is especially associated to social and recreational activities, which are increasingly important. Collecting high quality data from those social networks is very difficult, because respondents are asked about their general social life, which is most demanding to remember that specific facts. On the other hand, currently there are different potential sources of transport data, which is characterized by the huge amount of information available, the velocity with it is obtained and the variety of format in which is presented. This sort of information is commonly known as Big Data. In this paper we identify potential sources of social network related big data that can be used in Transport Planning. Then, a review of current applications in Transport Planning is presented. Finally, some future prospects of using social network related big data are highlighted.This paper presents a review of the use of data from Social Media and mobile phones to infer social interactions characteristics, and how those results are being used in the field of Transport Planning. The aim of MINERVA project is to contribute to enhance the Transport Planning process through improving data collection methods for travel demand forecasting. MINERVA’s aim is to complete travel survey data with Social Network and travel behavior information inferred from the use of Social Media and mobile phones.Ruiz Sánchez, T.; Mars Aicart, MDL.; Arroyo López, MR.; Serna Nocedal, A. (2016). SOCIAL NETWORKS, BIG DATA AND TRANSPORT PLANNING. En XII Congreso de ingeniería del transporte. 7, 8 y 9 de Junio, Valencia (España). Editorial Universitat Politècnica de València. 1184-1191. https://doi.org/10.4995/CIT2016.2016.42511184119