Analysis of Time of Use and Intermodality of Ride-Hailing Services in Singapore Using Mobile Web Traffic Data

  • Sau Yee ChanEmail author
Conference paper
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)


In light of the inaccessibility of ride-hailing trip data, this study proposes the use of mobile web traffic data in analyzing how app-based, on-demand ride-hailing services are used in Singapore and presents related exploratory evidence. With a dataset containing the web browsing records of two million anonymized mobile phone subscribers in Singapore, we assess whether ride-hailing services and public transport compete or complement each other by examining the time of use of ride-hailing services and tracing the use of trains after ride-hailing trips. In the context of a hub-and-spoke urban network like Singapore, we focus on intermodal trips from home to work. The findings indicate that ride-hailing services have a strong demand during the morning and evening rush hours in Singapore, unlike what previous studies in North American or European cities have suggested. Also, trips are rarely intermodal, with only 5–6% of all trips being subsequently followed by the use of the train network.


Mobile web traffic data Transportation network companies (TNCs) Ride-hailing Intermodality Singapore 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.AGOOP Corp.TokyoJapan

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