Developing and deploying a taxi price comparison mobile app in the wild: Insights and challenges

Anastasios Noulas, Vsevolod Salnikov, Desislava Hristova, Cecilia Mascolo, Renaud Lambiotte

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Abstract

As modern transportation systems become more complex, there is need for mobile applications that allow travelers to navigate efficiently in cities. In taxi transport the recent proliferation of Uber has introduced new norms including a flexible pricing scheme where journey costs can change rapidly depending on passenger demand and driver supply. To make informed choices on the most appropriate provider for their journeys, travelers need access to knowledge about provider pricing in real time. To this end, we developed OpenStreetCab a mobile application that offers advice on taxi transport comparing provider prices. We describe its development and deployment in two cities, London and New York, and analyse thousands of user journey queries to compare the price patterns of Uber against major local taxi providers. We have observed large heterogeneity across the taxi transport markets in the two cities. This motivated us to perform a price validation and measurement experiment on the ground comparing Uber and Black Cabs in London. The experimental results reveal interesting insights: not only they confirm feedback on pricing and service quality received by professional driver users, but also they reveal the tradeoffs between prices and journey times between taxi providers. With respect to journey times in particular, we show how experienced taxi drivers, in the majority of the cases, are able to navigate faster to a destination compared to drivers who rely on modern navigation systems. We provide evidence that this advantage becomes stronger in the centre of a city where urban density is high.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018
EditorsTina Eliassi-Rad, Wei Wang, Ciro Cattuto, Foster Provost, Rayid Ghani, Francesco Bonchi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages424-430
Number of pages7
ISBN (Electronic)9781538650905
DOIs
Publication statusPublished - 31 Jan 2019
Event5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018 - Turin, Italy
Duration: 1 Oct 20184 Oct 2018

Publication series

NameProceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018

Conference

Conference5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018
CountryItaly
CityTurin
Period1/10/184/10/18

Fingerprint

Application programs
Driver
Pricing
Mobile Applications
Costs
Service Quality
Navigation System
Navigation systems
Proliferation
Trade-offs
Query
Feedback
Norm
Experimental Results
Experiment
Experiments
Travellers
Mobile applications

Keywords

  • Data analysis
  • Smartphone application
  • Taxi
  • Transport
  • Uber

Cite this

Noulas, A., Salnikov, V., Hristova, D., Mascolo, C., & Lambiotte, R. (2019). Developing and deploying a taxi price comparison mobile app in the wild: Insights and challenges. In T. Eliassi-Rad, W. Wang, C. Cattuto, F. Provost, R. Ghani, & F. Bonchi (Eds.), Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018 (pp. 424-430). [8631455] (Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSAA.2018.00055
Noulas, Anastasios ; Salnikov, Vsevolod ; Hristova, Desislava ; Mascolo, Cecilia ; Lambiotte, Renaud. / Developing and deploying a taxi price comparison mobile app in the wild : Insights and challenges. Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018. editor / Tina Eliassi-Rad ; Wei Wang ; Ciro Cattuto ; Foster Provost ; Rayid Ghani ; Francesco Bonchi. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 424-430 (Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018).
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abstract = "As modern transportation systems become more complex, there is need for mobile applications that allow travelers to navigate efficiently in cities. In taxi transport the recent proliferation of Uber has introduced new norms including a flexible pricing scheme where journey costs can change rapidly depending on passenger demand and driver supply. To make informed choices on the most appropriate provider for their journeys, travelers need access to knowledge about provider pricing in real time. To this end, we developed OpenStreetCab a mobile application that offers advice on taxi transport comparing provider prices. We describe its development and deployment in two cities, London and New York, and analyse thousands of user journey queries to compare the price patterns of Uber against major local taxi providers. We have observed large heterogeneity across the taxi transport markets in the two cities. This motivated us to perform a price validation and measurement experiment on the ground comparing Uber and Black Cabs in London. The experimental results reveal interesting insights: not only they confirm feedback on pricing and service quality received by professional driver users, but also they reveal the tradeoffs between prices and journey times between taxi providers. With respect to journey times in particular, we show how experienced taxi drivers, in the majority of the cases, are able to navigate faster to a destination compared to drivers who rely on modern navigation systems. We provide evidence that this advantage becomes stronger in the centre of a city where urban density is high.",
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Noulas, A, Salnikov, V, Hristova, D, Mascolo, C & Lambiotte, R 2019, Developing and deploying a taxi price comparison mobile app in the wild: Insights and challenges. in T Eliassi-Rad, W Wang, C Cattuto, F Provost, R Ghani & F Bonchi (eds), Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018., 8631455, Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018, Institute of Electrical and Electronics Engineers Inc., pp. 424-430, 5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, 1/10/18. https://doi.org/10.1109/DSAA.2018.00055

Developing and deploying a taxi price comparison mobile app in the wild : Insights and challenges. / Noulas, Anastasios; Salnikov, Vsevolod; Hristova, Desislava; Mascolo, Cecilia; Lambiotte, Renaud.

Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018. ed. / Tina Eliassi-Rad; Wei Wang; Ciro Cattuto; Foster Provost; Rayid Ghani; Francesco Bonchi. Institute of Electrical and Electronics Engineers Inc., 2019. p. 424-430 8631455 (Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018).

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

TY - GEN

T1 - Developing and deploying a taxi price comparison mobile app in the wild

T2 - Insights and challenges

AU - Noulas, Anastasios

AU - Salnikov, Vsevolod

AU - Hristova, Desislava

AU - Mascolo, Cecilia

AU - Lambiotte, Renaud

PY - 2019/1/31

Y1 - 2019/1/31

N2 - As modern transportation systems become more complex, there is need for mobile applications that allow travelers to navigate efficiently in cities. In taxi transport the recent proliferation of Uber has introduced new norms including a flexible pricing scheme where journey costs can change rapidly depending on passenger demand and driver supply. To make informed choices on the most appropriate provider for their journeys, travelers need access to knowledge about provider pricing in real time. To this end, we developed OpenStreetCab a mobile application that offers advice on taxi transport comparing provider prices. We describe its development and deployment in two cities, London and New York, and analyse thousands of user journey queries to compare the price patterns of Uber against major local taxi providers. We have observed large heterogeneity across the taxi transport markets in the two cities. This motivated us to perform a price validation and measurement experiment on the ground comparing Uber and Black Cabs in London. The experimental results reveal interesting insights: not only they confirm feedback on pricing and service quality received by professional driver users, but also they reveal the tradeoffs between prices and journey times between taxi providers. With respect to journey times in particular, we show how experienced taxi drivers, in the majority of the cases, are able to navigate faster to a destination compared to drivers who rely on modern navigation systems. We provide evidence that this advantage becomes stronger in the centre of a city where urban density is high.

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KW - Data analysis

KW - Smartphone application

KW - Taxi

KW - Transport

KW - Uber

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DO - 10.1109/DSAA.2018.00055

M3 - Conference contribution

AN - SCOPUS:85062836994

T3 - Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018

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BT - Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018

A2 - Eliassi-Rad, Tina

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PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Noulas A, Salnikov V, Hristova D, Mascolo C, Lambiotte R. Developing and deploying a taxi price comparison mobile app in the wild: Insights and challenges. In Eliassi-Rad T, Wang W, Cattuto C, Provost F, Ghani R, Bonchi F, editors, Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 424-430. 8631455. (Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018). https://doi.org/10.1109/DSAA.2018.00055