Understanding travelers’ preferences for different types of trip destinations based on mobile Internet usage data

Yihong Wang, Gonçalo Homem de Almeida Correia, Bart van Arem, H.J.P. Timmermans

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

This paper proposes to segment the population using mobile internet usage data and accordingly to better understand travellers’ preferences for different types of trip destination revealed in mobile phone traces. 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 data 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 who preferred the content category “tourism”, had a significantly higher preference to visit touristy areas. Moreover, people who used mobile internet more intensively were more likely to visit more commercial areas, and people who used less mobile internet preferred to have activities in predominantly residential areas.
Originele taal-2Engels
TitelProceedings of the 15th International Conference on Travel Behavior Research
Aantal pagina's9
StatusGepubliceerd - 2018
Evenement15th international conference on Travel Behavior Research (IATBR2018) - Santa Barbara, Verenigde Staten van Amerika
Duur: 15 jul 201820 jul 2018
http://www.iatbr2018.org/

Congres

Congres15th international conference on Travel Behavior Research (IATBR2018)
Verkorte titelIATBR2018
LandVerenigde Staten van Amerika
StadSanta Barbara
Periode15/07/1820/07/18
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