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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-12-01
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Series: | EPJ Data Science |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1140/epjds/s13688-018-0177-1 |