Social Networks, Big Data and Transport Planning

Tomás Ruíz · Lidón Mars · Rosa Arroyo · Ainhoa Serna

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Human Mobility and Location-Based Analysis Transportation Planning and Optimization Urban Transport and Accessibility

Abstract

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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References

2008Understanding individual human mobility patterns 2011Friendship and mobility 2009Inferring friendship network structure by using mobile phone data 2016A formal definition of Big Data based on its essential features 1992Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems 1988An evaluation of activity-based travel analysis 2007Collecting Social Network Data to Study Social Activity-Travel Behavior: An Egocentric Approach 2012Socio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data

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