Urban Pulse Analysis Using Big Data

Cities have seen a vast amount of transformations in the past few years. Smartphones have proliferated. Reliable Internet connection is now available in many places. Car-sharing and bike-sharing are getting more popular. Social interactions keep on evolving with services like Facebook, Twitter and Instagram. Smartphone ownership and social networks are the foundation of location based services which enable real time information exchange. While users publicly share their informations, companies are doing the same by opening their datasets to the public. This is in stark contrast with the methods in travel surveys that have changed more slowly. Contacting the people by phone is still the main method of gathering data. Moreover, they are costly to do and they do not give an up-to-date portrait of the current situation since they are done once or twice a decade. The usage of these new datasets as a solution to current limitations of travel surveys is the main objective of the current research. As an initial step, using big data from Bixi and Twitter, the goal is to describe the travel and activity patterns of people living in urban centers and their evolution in time and space. The challenge rests in automating the data collection process and in assessing the reliability of such uses for these datasets. An explanation of the data gathering and processing is presented. The datasets are first analyzed separately and then jointly.


  • English

Media Info

  • Media Type: Web
  • Pagination: 1 PDF file, 3.6 MB, 16p.
  • Monograph Title: Canadian Transportation Research Forum 50th Annual Conference - Another 50 Years: Where to From Here?//Un autre 50 ans : qu'en est-il à partir de maintenant? Montreal, Quebec, May 24-26, 2015

Subject/Index Terms

Filing Info

  • Accession Number: 01605045
  • Record Type: Publication
  • Source Agency: Transportation Association of Canada (TAC)
  • Files: ITRD, TAC
  • Created Date: Jul 26 2016 5:05PM