IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i5p1732-d325127.html
   My bibliography  Save this article

Ridesourcing and Travel Demand: Potential Effects of Transportation Network Companies in Bogotá

Author

Listed:
  • Daniel Oviedo

    (Development Planning Unit, University College London, London WC1H 9EZ, UK)

  • Isabel Granada

    (Inter-American Development Bank, Washington, DC 20577, USA)

  • Daniel Perez-Jaramillo

    (Inter-American Development Bank, Washington, DC 20577, USA)

Abstract

This paper proposes a modal-shift analysis methodology based on a mix of small-scale primary data and big data sources to estimate the total amount of trips that are reallocated to transportation network companies (TNCs) services in Bogotá, Colombia. The analysis is focused on the following four modes: public transportation, private vehicles, conventional taxis, and TNC services. Based on a stated preferences survey and secondary databases of travel times and costs, the paper proposes a methodology to estimate the reallocation of travel demand once TNCs start operating. Results suggests that approximately one third of public transportation trips are potentially transferred to TNCs. Moreover, potential taxi and private vehicle–transferred trips account for almost 30% of the new TNC demand. Additionally, approximately half of the trips that are reallocated from public transport demand can be considered as complementary, while the remaining share can be considered as potential replacing trips of public transportation. The paper also estimates the potential increase in Vehicle-km travelled in each of the modes before and after substitution as a proxy to the effects of demand reallocation on sustainability, finding increases between 1.3 and 14.5 times the number of Vehicle-km depending on the mode. The paper highlights the role of open data and critical perspectives on available information to analyze potential scenarios of the introduction of disruptive technologies and their spatial, social, and economic implications.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1732-:d:325127
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/5/1732/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/5/1732/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    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. Venu M. Garikapati & Ram M. Pendyala & Eric A. Morris & Patricia L. Mokhtarian & Noreen McDonald, 2016. "Activity patterns, time use, and travel of millennials: a generation in transition?," Transport Reviews, Taylor & Francis Journals, vol. 36(5), pages 558-584, September.
    4. Alonso, Borja & Barreda, Rosa & dell’Olio, Luigi & Ibeas, Angel, 2018. "Modelling user perception of taxi service quality," Transport Policy, Elsevier, vol. 63(C), pages 157-164.
    5. Kalouptsidis, N. & Psaraki, V., 2010. "Approximations of choice probabilities in mixed logit models," European Journal of Operational Research, Elsevier, vol. 200(2), pages 529-535, January.
    6. 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.
    7. Danaf, Mazen & Atasoy, Bilge & de Azevedo, Carlos Lima & Ding-Mastera, Jing & Abou-Zeid, Maya & Cox, Nathaniel & Zhao, Fang & Ben-Akiva, Moshe, 2019. "Context-aware stated preferences with smartphone-based travel surveys," Journal of choice modelling, Elsevier, vol. 31(C), pages 35-50.
    8. Kim, Jinhee & Rasouli, Soora & Timmermans, Harry, 2017. "Satisfaction and uncertainty in car-sharing decisions: An integration of hybrid choice and random regret-based models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 13-33.
    9. Fangru Wang & Catherine L. Ross, 2019. "New potential for multimodal connection: exploring the relationship between taxi and transit in New York City (NYC)," Transportation, Springer, vol. 46(3), pages 1051-1072, June.
    10. Ben-Akiva, Moshe & McFadden, Daniel & Train, Kenneth, 2019. "Foundations of Stated Preference Elicitation: Consumer Behavior and Choice-based Conjoint Analysis," Foundations and Trends(R) in Econometrics, now publishers, vol. 10(1-2), pages 1-144, January.
    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. Bilgin, Pinar & Mattioli, Giulio & Morgan, Malcolm & Wadud, Zia, 2023. "The impacts of ridesourcing services on the taxi market: Empirical evidence from England and Wales," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    2. Anastasia Roukouni & Gonçalo Homem de Almeida Correia, 2020. "Evaluation Methods for the Impacts of Shared Mobility: Classification and Critical Review," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    3. 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.
    4. Oviedo, Daniel & Sabogal-Cardona, Orlando, 2022. "Arguments for cycling as a mechanism for sustainable modal shifts in Bogotá," Journal of Transport Geography, Elsevier, vol. 99(C).
    5. 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.
    6. 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.
    7. 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).
    8. Ong, Felita & Loa, Patrick & Nurul Habib, Khandker, 2024. "Ride-sourcing demand in Metro Vancouver: Looking through the lens of disability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).

    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. Rezwana Rafiq & Michael G. McNally, 2023. "An exploratory analysis of alternative travel behaviors of ride-hailing users," Transportation, Springer, vol. 50(2), pages 571-605, April.
    3. Tarduno, Matthew, 2021. "The congestion costs of Uber and Lyft," Journal of Urban Economics, Elsevier, vol. 122(C).
    4. 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.
    5. 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).
    6. 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.
    7. Alejandro Tirachini, 2020. "Ride-hailing, travel behaviour and sustainable mobility: an international review," Transportation, Springer, vol. 47(4), pages 2011-2047, August.
    8. Kyung Sun (Melissa) Rhee & Jinyang Zheng & Youwei Wang & Yong Tan, 2023. "Value of Information Sharing via Ride-Hailing Apps: An Empirical Analysis," Information Systems Research, INFORMS, vol. 34(3), pages 1228-1244, September.
    9. 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.
    10. Malalgoda, Narendra & Lim, Siew Hoon, 2019. "Do transportation network companies reduce public transit use in the U.S.?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 351-372.
    11. 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," OSF Preprints x7ryj, Center for Open Science.
    12. 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.
    13. Alejandro Tirachini & Andres Gomez-Lobo, 2017. "Estabilidad Macroeconómica y Crecimiento Económico: Mitos y Realidades," Working Papers wp457, University of Chile, Department of Economics.
    14. John M. Barrios & Yael Hochberg & Hanyi Yi, 2020. "The Cost of Convenience: Ridehailing and Traffic Fatalities," NBER Working Papers 26783, National Bureau of Economic Research, Inc.
    15. 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.
    16. 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.
    17. Yang Pan & Liangfei Qiu, 2022. "How Ride‐Sharing Is Shaping Public Transit System: A Counterfactual Estimator Approach," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 906-927, March.
    18. 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.
    19. Rick Grahn & Corey D. Harper & Chris Hendrickson & Zhen Qian & H. Scott Matthews, 2020. "Socioeconomic and usage characteristics of transportation network company (TNC) riders," Transportation, Springer, vol. 47(6), pages 3047-3067, December.
    20. Lam, Chungsang Tom & Liu, Meng & Hui, Xiang, 2021. "The geography of ridesharing: A case study on New York City," Information Economics and Policy, Elsevier, vol. 57(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:gam:jsusta:v:12:y:2020:i:5:p:1732-:d:325127. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.