IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v49y2022i2d10.1007_s11116-021-10180-w.html
   My bibliography  Save this article

Exploring ride-hailing fares: an empirical analysis of the case of Madrid

Author

Listed:
  • Thais Rangel

    (Universidad Politécnica de Madrid
    Universidad Politécnica de Madrid)

  • Juan Nicolas Gonzalez

    (Universidad Politécnica de Madrid)

  • Juan Gomez

    (Universidad Politécnica de Madrid)

  • Fernando Romero

    (Universidad Politécnica de Madrid)

  • Jose Manuel Vassallo

    (Universidad Politécnica de Madrid)

Abstract

Ride-hailing is an emerging service that is transforming door to door mobility in urban areas. Users can easily request a ride through a smartphone app that informs them of the pickup time, the location of the vehicle, and the fare that they will pay in advance. Even though it is well known that Uber implements a dynamic pricing approach depending mostly on supply, demand and competition with other services, there is still little empirical evidence on the main drivers explaining the fare strategy of the company. However, a deeper understanding of prices is essential to evaluate and establish a future scenario with smarter regulation and fairer competition between ridesourcing and taxi services. Using 10-month data from the Uber’s application programming interface in the city of Madrid, this research studies the association of Uber fares with different explanatory variables. It also explores the main differences between Uber and taxi fares. The results indicate that trip distance, trip delay, day of the week, origin and destination of the trip, and rain precipitation have a statistically significant impact on Uber fares. The findings also show that on average, Uber fares are lower than taxi fares, with the exception of particular hours of the day, as well as Uber fares slightly increased during taxi strikes recently happened in Madrid. The paper concludes with some policy recommendations and insigths regarding the future of the hailing sector and the importance of prices in evaluating future changes and possibilities.

Suggested Citation

  • Thais Rangel & Juan Nicolas Gonzalez & Juan Gomez & Fernando Romero & Jose Manuel Vassallo, 2022. "Exploring ride-hailing fares: an empirical analysis of the case of Madrid," Transportation, Springer, vol. 49(2), pages 373-393, April.
  • Handle: RePEc:kap:transp:v:49:y:2022:i:2:d:10.1007_s11116-021-10180-w
    DOI: 10.1007/s11116-021-10180-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-021-10180-w
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11116-021-10180-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Brodeur, Abel & Nield, Kerry, 2018. "An empirical analysis of taxi, Lyft and Uber rides: Evidence from weather shocks in NYC," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 1-16.
    2. Judd Cramer & Alan B. Krueger, 2016. "Disruptive Change in the Taxi Business: The Case of Uber," American Economic Review, American Economic Association, vol. 106(5), pages 177-182, May.
    3. Hughes, Ryan & MacKenzie, Don, 2016. "Transportation network company wait times in Greater Seattle, and relationship to socioeconomic indicators," Journal of Transport Geography, Elsevier, vol. 56(C), pages 36-44.
    4. Jessica Lynn Peck, 2017. "New York City Drunk Driving After Uber," Working Papers 13, City University of New York Graduate Center, Ph.D. Program in Economics.
    5. Yu, Haitao & Peng, Zhong-Ren, 2019. "Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression," Journal of Transport Geography, Elsevier, vol. 75(C), pages 147-163.
    6. Shaheen, Susan & Cohen, Adam & Zohdy, Ismail & Kock, Beaudry, 2016. "Shared Mobility: Current Practices and Guiding Principles Brief," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0gz3b3fx, Institute of Transportation Studies, UC Berkeley.
    7. Goodspeed, Robert & Xie, Tian & Dillahunt, Tawanna R. & Lustig, Josh, 2019. "An alternative to slow transit, drunk driving, and walking in bad weather: An exploratory study of ridesourcing mode choice and demand," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yeung, Timothy Yu-Cheong & Zhu, Dianzhuo, 2022. "Intercity ridesharing to the rescue: Capacity flexibility and price stability of BlaBlaCar during the 2018 French railway strike," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 270-290.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aguilera-García, Álvaro & Gomez, Juan & Velázquez, Guillermo & Vassallo, Jose Manuel, 2022. "Ridesourcing vs. traditional taxi services: Understanding users’ choices and preferences in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 161-178.
    2. Mosquera, Roberto, 2024. "Stuck in traffic: Measuring congestion externalities with negative supply shocks," Regional Science and Urban Economics, Elsevier, vol. 108(C).
    3. Shokoohyar, Sina & Sobhani, Ahmad & Sobhani, Anae, 2020. "Impacts of trip characteristics and weather condition on ride-sourcing network: Evidence from Uber and Lyft," Research in Transportation Economics, Elsevier, vol. 80(C).
    4. Wang, Wei & Miao, Wei & Liu, Yongdong & Deng, Yiting & Cao, Yunfei, 2022. "The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 128-141.
    5. Xu, Zhengtian & Yin, Yafeng & Zha, Liteng, 2017. "Optimal parking provision for ride-sourcing services," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 559-578.
    6. Adam Millard-Ball & Liwei Liu & Whitney Hansen & Drew Cooper & Joe Castiglione, 2023. "Where ridehail drivers go between trips," Transportation, Springer, vol. 50(5), pages 1959-1981, October.
    7. Sutirtha Bagchi, 2018. "A Tale of Two Cities: An Examination of Medallion Prices in New York and Chicago," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 53(2), pages 295-319, September.
    8. Shr, Yau-Huo & Chang, Hung-Hao, 2024. "The effects of participating in digital ride-hailing on taxi drivers’ business operations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    9. Haitao Yu & Zhong-Ren Peng, 2020. "The impacts of built environment on ridesourcing demand: A neighbourhood level analysis in Austin, Texas," Urban Studies, Urban Studies Journal Limited, vol. 57(1), pages 152-175, January.
    10. Yang, Zhuo & Franz, Mark L. & Zhu, Shanjiang & Mahmoudi, Jina & Nasri, Arefeh & Zhang, Lei, 2018. "Analysis of Washington, DC taxi demand using GPS and land-use data," Journal of Transport Geography, Elsevier, vol. 66(C), pages 35-44.
    11. Xavier Fageda, 2021. "Measuring the impact of ride‐hailing firms on urban congestion: The case of Uber in Europe," Papers in Regional Science, Wiley Blackwell, vol. 100(5), pages 1230-1253, October.
    12. Maria Vega-Gonzalo & Álvaro Aguilera-García & Juan Gomez & José Manuel Vassallo, 2024. "Traditional taxi, e-hailing or ride-hailing? A GSEM approach to exploring service adoption patterns," Transportation, Springer, vol. 51(4), pages 1239-1278, August.
    13. Guilherme Mendes Resende & Ricardo Carvalho de Andrade Lima, 2018. "Working Paper 01/2018 - Competition Effects of the Sharing Economy in Brazil: Has Uber's entry affected the cab-hailing app market from 2014 to 2016?," Documentos de Trabalho 2018011, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
    14. Du, Mingyang & Cheng, Lin & Li, Xuefeng & Liu, Qiyang & Yang, Jingzong, 2022. "Spatial variation of ridesplitting adoption rate in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 13-37.
    15. Wang, Sicheng & Du, Rui & Lee, Annie S., 2024. "Ridesourcing regulation and traffic speeds: A New York case," Journal of Transport Geography, Elsevier, vol. 116(C).
    16. Huynh, Toan Luu Duc & Vo, An Kim Hoang & Nguyen, Thanh Hoang Ha & Nguyen, Vy Bao Le & Ho, Nhung Ngoc Hong & Do, Nguyen Binh, 2020. "What makes us use the shared mobility model? Evidence from Vietnam," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 1-13.
    17. Thorsten Heilker & Gernot Sieg, 2017. "A duopoly of transportation network companies and traditional radio-taxi dispatch service agencies," Working Papers 24, Institute of Transport Economics, University of Muenster.
    18. Kong, Hui & Zhang, Xiaohu & Zhao, Jinhua, 2020. "How does ridesourcing substitute for public transit? A geospatial perspective in Chengdu, China," Journal of Transport Geography, Elsevier, vol. 86(C).
    19. Malik, Jai & Bunch, David S. & Handy, Susan & Circella, Giovanni, 2021. "A deeper investigation into the effect of the built environment on the use of ridehailing for non-work travel," Journal of Transport Geography, Elsevier, vol. 91(C).
    20. Soltani, Ali & Allan, Andrew & Khalaj, Fahimeh & Pojani, Dorina & Mehdizadeh, Milad, 2021. "Ridesharing in Adelaide: Segmentation of users," Journal of Transport Geography, Elsevier, vol. 92(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:transp:v:49:y:2022:i:2:d:10.1007_s11116-021-10180-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.