Mobility Network Evaluation in the User Perspective: Real-Time Sensing of Traffic Information in Twitter Messages

• Type: Chapter or Part of a Book
• Date: 2014

Authors

Zafeiris Kokkinogenis (Author) Other; Filguieras, J (Author) Other; Carvalho, S (Author) Other; Sarmento, L (Author) Other; Rosaldo J. F. Rossetti (Author) FEUP

Book

Title: Advances in Artificial Transportation Systems and Simulation

Pages: 219-234

ISBN: 9780123973283; 9780123970411

Publisher: Elsevier

Indexing

Scopus - 17 Citations

Other information

Authenticus ID: P-00G-PED

DOI: 10.1016/b978-0-12-397041-1.00012-1

Abstract (EN): We discuss a new type of mobility study focusing on subjective user opinions of mobility networks. Taking advantage of the growth in popularity of opinion mining in social media, and social media itself, we present the architecture of a system capable of automatically capturing user perspective toward a mobility network, based on web user-generated content. We discuss the value of acquiring this subjective information, especially for urban planners, and its contribution to an overall understanding of human mobility. We look at users as sensors of mobility dynamics, capable of providing an insight into the flaws of mobility networks. To achieve this, this chapter presents an initial attempt to use microblogging messages posted on Twitter (by users in transit) to perform real-time sensing of traffic-related information. We propose a text classification approach to the problem: we wish to automatically identify traffic-related messages posted on Twitter, among the millions of unrelated messages posted by users.

Language: English

Type (Professor's evaluation): Scientific