Inferring modes of transportation using mobile phone data

Abstract Cities are growing at a fast rate, and transportation networks need to adapt accordingly. To design, plan, and manage transportation networks, domain experts need data that reflect how people move from one place to another, at what times, for what purpose, and in what mode(s) of transportat...

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Bibliographic Details
Main Authors: Eduardo Graells-Garrido, Diego Caro, Denis Parra
Format: Article
Language:English
Published: SpringerOpen 2018-12-01
Series:EPJ Data Science
Subjects:
Online Access:http://link.springer.com/article/10.1140/epjds/s13688-018-0177-1