Mining taxi data for describing city in the context of mobility, sociality, and environment: Lessons learned

• Main Authors: Veloso M., Phithakkitnukoon S., Bento C., D'Orey P.
• Format: Conference Proceeding
• Published: 2017
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85010076708&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/41197
• Institution: Chiang Mai University

© 2016 IEEE. Taxi is an important way of transportation. With the equipped location sensors, it becomes a probe sensing urban dynamics. In this work, we review and improve three approaches that use taxi data to explore the city dynamics of Lisbon, Portugal. We develop a naïve Bayesian classifier to...