Relationships between mobile phone usage and activity-travel behavior

A review of the literature and an example

Book Chapter (2019)
Author(s)

Yihong Wang (TU Delft - Transport and Planning)

Gonçalo Correia (Universidade de Coimbra, TU Delft - Transport and Planning)

B. van Arem (TU Delft - Transport and Planning)

Transport and Planning
Copyright
© 2019 Y. Wang, Gonçalo Correia , B. van Arem
DOI related publication
https://doi.org/10.1016/bs.atpp.2019.08.001
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Y. Wang, Gonçalo Correia , B. van Arem
Transport and Planning
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
81-105
ISBN (print)
9780128162132
Reuse Rights

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Abstract

Almost everyone has a mobile phone today. In addition to calls and text messages, people are utilizing mobile apps and websites to connect to the world and explore different content anytime and anywhere. The use of smart phones generates billions of records, including spatiotemporal trajectories, and various mobile phone usage details, such as call duration, and frequency of visiting a certain type of website. Most transportation researchers have only focused on spatiotemporal traces, which represent activity-travel behavior of users. However, it is worth making full use of smart phone data to study how mobile phone usage is related to activity-travel behavior. This chapter first reviews the existing literature on the relevant topics to demonstrate the lack of research on the relationship between mobile internet usage and activity-travel behavior. Based on an 11-day dataset from Shanghai that includes not only spatiotemporal traces but also the frequencies of browsing different categories of mobile internet content (e.g., tourism and finance), we examine several relationships between mobile internet usage and activity-travel behavior.

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