Understanding travellers’ preferences for different types of trip destination based on mobile internet usage data

Understanding travellers’ preferences for different types of trip destination based on mobile internet usage data

Wang, Y. (TU Delft Transport and Planning)
Correia, Gonçalo (TU Delft Transport and Planning)
van Arem, B. (TU Delft Transport and Planning)
Timmermans, H. J.P.(Harry) (Eindhoven University of Technology; Nanjing University of Aeronautics and Astronautics)

2018-05-01

New mobility data sources like mobile phone traces have been shown to reveal individuals’ movements in space and time. However, socioeconomic attributes of travellers are missing in those data. Consequently, it is not possible to partition the population and have an in-depth understanding of the socio-demographic factors influencing travel behaviour. Aiming at filling this gap, we use mobile internet usage behaviour, including one's preferred type of website and application (app) visited through mobile internet as well as the level of usage frequency, as a distinguishing element between different population segments. We compare the travel behaviour of each segment in terms of the preference for types of trip destinations. The point of interest (POI) data are used to cluster grid cells of a city according to the main function of a grid cell, serving as a reference to determine the type of trip destination. The method is tested for the city of Shanghai, China, by using a special mobile phone dataset that includes not only the spatial-temporal traces but also the mobile internet usage behaviour of the same users. We identify statistically significant relationships between a traveller's favourite category of mobile internet content and more frequent types of trip destinations that he/she visits. For example, compared to others, people whose favourite type of app/website is in the “tourism” category significantly preferred to visit touristy areas. Moreover, users with different levels of internet usage intensity show different preferences for types of destinations as well. We found that people who used mobile internet more intensively were more likely to visit more commercial areas, and people who used it less preferred to have activities in predominantly residential areas.

Data fusion
Mobile internet usage
Mobile phone data
Mobility analysis
Travel behaviour

http://resolver.tudelft.nl/uuid:6ee0ecb4-336c-4ab3-9e5c-185d6cf0c94d

https://doi.org/10.1016/j.trc.2018.03.009

2018-09-23

0968-090X

Transportation Research. Part C: Emerging Technologies, 90, 247-259

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.

Institutional Repository

journal article

© 2018 Y. Wang, Gonçalo Correia , B. van Arem, H. J.P.(Harry) Timmermans