IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v155y2022icp161-178.html
   My bibliography  Save this article

Ridesourcing vs. traditional taxi services: Understanding users’ choices and preferences in Spain

Author

Listed:
  • Aguilera-García, Álvaro
  • Gomez, Juan
  • Velázquez, Guillermo
  • Vassallo, Jose Manuel

Abstract

Both the traditional taxi and ridesourcing market provide similar on-demand door-to-door transportation services from the users’ viewpoint, although operate under different legal and regulatory frameworks. Ridesourcing has experienced notable growth in urban mobility in the last few years since it gives a convenient, on-demand door-to-door service, provides app-based real-time information about the trip, and offers flexible prices that vary according to the level of supply and demand at each moment. This new actor in urban mobility directly competes with taxis, a more regulated mode that has traditionally provided door-to-door trips. While competition between taxi and ridesourcing has generated great controversy in the public debate, little attention has been paid to the users’ viewpoint. Additionally, most of the scientific literature on travel behavior and ridesourcing focus on specific characteristics of these services, while scarce efforts have been devoted to study users’ choices and preferences towards ridesourcing vs. its main competitor, taxi services. To bridge this gap, this paper investigates the main factors (individual sociodemographic, mobility-related characteristics, psychological attitudes, etc.) determining individuals’ choices between ridesourcing and traditional taxis. To that end, a Generalized Structural Equation Model (GSEM) is carried out, based on the information collected from a survey campaign conducted in Spain. The results show that, from a behavioral perspective, people opened to technological innovation and with liberal thought (in the sense of being favorable to market openness) tend to use ridesourcing services more often than taxis. Our results also suggest a higher tendency to use ridesourcing among women, young people, and people using hailing services for leisure, recreational or social purposes. Interestingly, individuals having already used both taxi and ridesourcing in Spain, tend to rate higher the quality-of-service performance (driver and/or vehicle fleet) provided by ridesourcing compared to taxis.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:transa:v:155:y:2022:i:c:p:161-178
    DOI: 10.1016/j.tra.2021.11.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856421002809
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2021.11.002?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. Mitra, Suman K. & Saphores, Jean-Daniel M., 2017. "Carless in California: Green choice or misery?," Journal of Transport Geography, Elsevier, vol. 65(C), pages 1-12.
    2. Rayle, Lisa & Dai, Danielle & Chan, Nelson & Cervero, Robert & Shaheen, Susan, 2016. "Just a better taxi? A survey-based comparison of taxis, transit, and ridesourcing services in San Francisco," Transport Policy, Elsevier, vol. 45(C), pages 168-178.
    3. Shaheen, Susan PhD & Stocker, Adam & Mundler, Marie, 2017. "Online and App-Based Carpooling in France: Analyzing Users and Practices—A Study of BlaBlaCar," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3s40x2x2, Institute of Transportation Studies, UC Berkeley.
    4. Shaheen, Susan PhD & Chan, Nelson, 2016. "Mobility and the Sharing Economy: Potential to Overcome First- and Last-Mile Public Transit Connections," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8042k3d7, Institute of Transportation Studies, UC Berkeley.
    5. Felipe F. Dias & Patrícia S. Lavieri & Venu M. Garikapati & Sebastian Astroza & Ram M. Pendyala & Chandra R. Bhat, 2017. "A behavioral choice model of the use of car-sharing and ride-sourcing services," Transportation, Springer, vol. 44(6), pages 1307-1323, November.
    6. Ke, Jintao & Yang, Hai & Li, Xinwei & Wang, Hai & Ye, Jieping, 2020. "Pricing and equilibrium in on-demand ride-pooling markets," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 411-431.
    7. 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.
    8. Rick Grahn & Corey D. Harper & Chris Hendrickson & Zhen Qian & H. Scott Matthews, 0. "Socioeconomic and usage characteristics of transportation network company (TNC) riders," Transportation, Springer, vol. 0, pages 1-21.
    9. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    10. Contreras, Seth D. & Paz, Alexander, 2018. "The effects of ride-hailing companies on the taxicab industry in Las Vegas, Nevada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 63-70.
    11. 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.
    12. Shaaban, Khaled & Kim, Inhi, 2016. "Assessment of the taxi service in Doha," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 223-235.
    13. Habib, Khandker Nurul, 2019. "Mode choice modelling for hailable rides: An investigation of the competition of Uber with other modes by using an integrated non-compensatory choice model with probabilistic choice set formation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 205-216.
    14. Efthymiou, Dimitrios & Antoniou, Constantinos & Waddell, Paul, 2013. "Factors affecting the adoption of vehicle sharing systems by young drivers," Transport Policy, Elsevier, vol. 29(C), pages 64-73.
    15. Lopez-Carreiro, Iria & Monzon, Andres & Lopez, Elena & Lopez-Lambas, Maria Eugenia, 2020. "Urban mobility in the digital era: An exploration of travellers' expectations of MaaS mobile-technologies," Technology in Society, Elsevier, vol. 63(C).
    16. Berger, Thor & Chen, Chinchih & Frey, Carl Benedikt, 2018. "Drivers of disruption? Estimating the Uber effect," European Economic Review, Elsevier, vol. 110(C), pages 197-210.
    17. Clewlow, Regina R. & Mishra, Gouri S., 2017. "Disruptive Transportation: The Adoption, Utilization, and Impacts of Ride-Hailing in the United States," Institute of Transportation Studies, Working Paper Series qt82w2z91j, Institute of Transportation Studies, UC Davis.
    18. Rayle, Lisa & Dai, Danielle & Chan, Nelson & Cervero, Robert & Shaheen, Susan PhD, 2016. "Just A Better Taxi? A Survey-Based Comparison of Taxis, Transit, and Ridesourcing Services in San Francisco," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt60v8r346, Institute of Transportation Studies, UC Berkeley.
    19. Daniel Oviedo & Isabel Granada & Daniel Perez-Jaramillo, 2020. "Ridesourcing and Travel Demand: Potential Effects of Transportation Network Companies in Bogotá," Sustainability, MDPI, vol. 12(5), pages 1-16, February.
    20. 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.
    21. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    22. 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.
    23. Hall, Jonathan D. & Palsson, Craig & Price, Joseph, 2018. "Is Uber a substitute or complement for public transit?," Journal of Urban Economics, Elsevier, vol. 108(C), pages 36-50.
    24. Tamás Bartus, 2017. "Multilevel multiprocess modeling with gsem," Stata Journal, StataCorp LP, vol. 17(2), pages 442-461, June.
    25. Alejandro Henao & Wesley E. Marshall, 2019. "The impact of ride-hailing on vehicle miles traveled," Transportation, Springer, vol. 46(6), pages 2173-2194, December.
    26. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2004. "Generalized multilevel structural equation modeling," Psychometrika, Springer;The Psychometric Society, vol. 69(2), pages 167-190, June.
    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. Namgung, Hyewon & Fujiwara, Akimasa & Yamamoto, Jenny & Zhang, Junyi, 2023. "Small and medium-sized taxi firm operators' stated choices of future business models: A case study in Japan based on hybrid choice model with panel effects," Research in Transportation Economics, Elsevier, vol. 101(C).
    2. Jiang, Guoyin & Yang, Wanqiang, 2023. "Signal effect of government regulations on ride-hailing drivers’ intention to mobile-based transportation platform governance: Evidence from China," Transport Policy, Elsevier, vol. 139(C), pages 63-78.
    3. Aguilera-García, Álvaro & Gomez, Juan & Antoniou, Constantinos & Vassallo, José Manuel, 2022. "Behavioral factors impacting adoption and frequency of use of carsharing: A tale of two European cities," Transport Policy, Elsevier, vol. 123(C), pages 55-72.

    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. Zgheib, Najib & Abou-Zeid, Maya & Kaysi, Isam, 2020. "Modeling demand for ridesourcing as feeder for high capacity mass transit systems with an application to the planned Beirut BRT," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 70-91.
    2. Soria, Jason & Stathopoulos, Amanda, 2021. "Investigating socio-spatial differences between solo ridehailing and pooled rides in diverse communities," Journal of Transport Geography, Elsevier, vol. 95(C).
    3. Zou, Zhenpeng & Cirillo, Cinzia, 2021. "Does ridesourcing impact driving decisions: A survey weighted regression analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 1-12.
    4. Loa, Patrick & Hossain, Sanjana & Liu, Yicong & Nurul Habib, Khandker, 2022. "How has the COVID-19 pandemic affected the use of ride-sourcing services? An empirical evidence-based investigation for the Greater Toronto Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 46-62.
    5. Dean, Matthew D. & Kockelman, Kara M., 2021. "Spatial variation in shared ride-hail trip demand and factors contributing to sharing: Lessons from Chicago," Journal of Transport Geography, Elsevier, vol. 91(C).
    6. Nair, Gopindra S. & Bhat, Chandra R. & Batur, Irfan & Pendyala, Ram M. & Lam, William H.K., 2020. "A model of deadheading trips and pick-up locations for ride-hailing service vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 289-308.
    7. Qiao, Si & Yeh, Anthony Gar-On, 2021. "Is ride-hailing a valuable means of transport in newly developed areas under TOD-oriented urbanization in China? Evidence from Chengdu City," Journal of Transport Geography, Elsevier, vol. 96(C).
    8. Zhang, Zhaolin & Zhai, Guocong & Xie, Kun & Xiao, Feng, 2022. "Exploring the nonlinear effects of ridesharing on public transit usage: A case study of San Diego," Journal of Transport Geography, Elsevier, vol. 104(C).
    9. Tirachini, Alejandro & del Río, Mariana, 2019. "Ride-hailing in Santiago de Chile: Users’ characterisation and effects on travel behaviour," Transport Policy, Elsevier, vol. 82(C), pages 46-57.
    10. Alejandro Tirachini, 2020. "Ride-hailing, travel behaviour and sustainable mobility: an international review," Transportation, Springer, vol. 47(4), pages 2011-2047, August.
    11. Quirós, Cipriano & Portela, Javier & Marín, Raquel, 2021. "Differentiated models in the collaborative transport economy: A mixture analysis for Blablacar and Uber," Technology in Society, Elsevier, vol. 67(C).
    12. Yan, Xiang & Liu, Xinyu & Zhao, Xilei, 2020. "Using machine learning for direct demand modeling of ridesourcing services in Chicago," Journal of Transport Geography, Elsevier, vol. 83(C).
    13. Loa, Patrick & Ong, Felita & Hawkins, Jason & Nurul Habib, Khandker, 2023. "Unravelling the relationship between ride-sourcing services and conventional modes in the city of Toronto: A stated preference study," Transport Policy, Elsevier, vol. 141(C), pages 209-220.
    14. Aguilera-García, Álvaro & Gomez, Juan & Antoniou, Constantinos & Vassallo, José Manuel, 2022. "Behavioral factors impacting adoption and frequency of use of carsharing: A tale of two European cities," Transport Policy, Elsevier, vol. 123(C), pages 55-72.
    15. Zhang, Kenan & Nie, Yu (Marco), 2022. "Mitigating traffic congestion induced by transportation network companies: A policy analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 96-118.
    16. de Oliveira Souza, Camilla & Vitorino Guimarães, Gabriella & da Cruz Saldanha, Luiz Emerson & Almeida Corrêa do Nascimento, Filipe & Floriano dos Santos, Tálita & Vieira da Silva, Marcelino Aurélio, 2021. "Analysis of job accessibility promoted by ride hailing services: A proposed method," Journal of Transport Geography, Elsevier, vol. 93(C).
    17. Young, Mischa & Farber, Steven, 2019. "The who, why, and when of Uber and other ride-hailing trips: An examination of a large sample household travel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 383-392.
    18. 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.
    19. Ilahi, Anugrah & Belgiawan, Prawira F. & Balac, Milos & Axhausen, Kay W., 2021. "Understanding travel and mode choice with emerging modes; a pooled SP and RP model in Greater Jakarta, Indonesia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 398-422.
    20. He, Zhengbing, 2021. "Portraying ride-hailing mobility using multi-day trip order data: A case study of Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 152-169.

    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:eee:transa:v:155:y:2022:i:c:p:161-178. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.