Social Networks, Big Data and Transport Planning

  1. Ruiz, Tomás 3
  2. Mars, Lidón 2
  3. Arroyo, Rosa 3
  4. Serna, Ainhoa 1
  1. 1 Universidad de Mondragón/Mondragon Unibertsitatea
    info

    Universidad de Mondragón/Mondragon Unibertsitatea

    Mondragón, España

    ROR https://ror.org/00wvqgd19

  2. 2 Universitat de València
    info

    Universitat de València

    Valencia, España

    ROR https://ror.org/043nxc105

  3. 3 Universidad Politécnica de Valencia
    info

    Universidad Politécnica de Valencia

    Valencia, España

    ROR https://ror.org/01460j859

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Revista:
Transportation Research Procedia

ISSN: 2352-1465

Año de publicación: 2016

Volumen: 18

Páginas: 446-452

Tipo: Artículo

DOI: 10.1016/J.TRPRO.2017.01.122 GOOGLE SCHOLAR lock_openeBiltegia editor

Otras publicaciones en: Transportation Research Procedia

Resumen

The characteristics of people who are related or tied to each individual affects her activity-travel 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 using traditional travel surveys, 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. To use this data on Transport Planning application is a challenge, which require employing complex data mining techniques. In this paper, we identify potential sources of social network related big data that can be used in Transport Planning, discussing their advantages and limitations. Then, a review of current applications in Transport Planning is presented. Finally, some future prospects of using social network related big data that are included in the MINERVA project are highlighted.

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