IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v155y2022icp11-30.html
   My bibliography  Save this article

How older adults use Ride-hailing booking technology in California

Author

Listed:
  • Misra, Aditi
  • Shirgaokar, Manish
  • Weinstein Agrawal, Asha
  • Dobbs, Bonnie
  • Wachs, Martin

Abstract

Ride-hailing services like Lyft and Uber have the potential to improve mobility for many older adults, especially those who cannot or prefer not to drive. We used survey data from 2,917 Californians 55 years and older to investigate (1) how older adults who currently ride-hail booked their trips, and (2) what personal characteristics, including attitudes towards technology, were correlated with booking trips online versus by phone or with help. We specified four binary probit models in which the outcome variables are the manner in which a respondent accessed ride-hailing services: self-booked by phone, self-booked by app, booked by a family/friend/caregiver but rode alone, or booked by others and rode with them. We controlled for two attitudinal constructs (confident and cautious about technology), residential location, general travel behavior, physical health, and standard socio-economic factors. We found that respondents who were more confident using technology booked via apps, while those who were more cautious about technology were less likely to book using apps. This latter group was more likely to book by phone or rely on others for help. Other characteristics associated with higher likelihood of booking via apps were: living in the suburbs, not relying on others for rides, having physical health issues, being college educated, and being non-Hispanic. Our findings provide a basis to think about expanding ride-hailing to other older adults, particularly those who are not comfortable with technology, through convenient access to ride-hailing booking.

Suggested Citation

  • Misra, Aditi & Shirgaokar, Manish & Weinstein Agrawal, Asha & Dobbs, Bonnie & Wachs, Martin, 2022. "How older adults use Ride-hailing booking technology in California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 11-30.
  • Handle: RePEc:eee:transa:v:155:y:2022:i:c:p:11-30
    DOI: 10.1016/j.tra.2021.10.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856421002779
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2021.10.022?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. Hubers, Christa & Lyons, Glenn, 2013. "New technologies for the old: Potential implications of living in later life for travel demand," Transport Policy, Elsevier, vol. 30(C), pages 220-228.
    2. Gehrke, Steven R., 2020. "Uber service area expansion in three major American cities," Journal of Transport Geography, Elsevier, vol. 86(C).
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Scott Middleton & Jinhua Zhao, 2020. "Discriminatory attitudes between ridesharing passengers," Transportation, Springer, vol. 47(5), pages 2391-2414, October.
    5. 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.
    6. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    7. Carlo Luiu & Miles Tight & Michael Burrow, 2017. "The unmet travel needs of the older population: a review of the literature," Transport Reviews, Taylor & Francis Journals, vol. 37(4), pages 488-506, July.
    8. Alejandro Tirachini, 2020. "Ride-hailing, travel behaviour and sustainable mobility: an international review," Transportation, Springer, vol. 47(4), pages 2011-2047, August.
    9. Anne Brown, 2019. "Redefining Car Access," Journal of the American Planning Association, Taylor & Francis Journals, vol. 85(2), pages 83-95, April.
    10. Globisch, Joachim & Dütschke, Elisabeth & Schleich, Joachim, 2018. "Acceptance of electric passenger cars in commercial fleets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 122-129.
    11. Faber, Koen & van Lierop, Dea, 2020. "How will older adults use automated vehicles? Assessing the role of AVs in overcoming perceived mobility barriers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 353-363.
    12. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    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. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, November.
    15. Groth, Sören, 2019. "Multimodal divide: Reproduction of transport poverty in smart mobility trends," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 56-71.
    16. Dick Ettema, 2018. "Apps, activities and travel: an conceptual exploration based on activity theory," Transportation, Springer, vol. 45(2), pages 273-290, March.
    17. Jennifer Dill & Cynthia Mohr & Liang Ma, 2014. "How Can Psychological Theory Help Cities Increase Walking and Bicycling?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 80(1), pages 36-51, January.
    18. Hamed Taherdoost, 2018. "A review of technology acceptance and adoption models and theories," Post-Print hal-03741843, HAL.
    19. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    20. 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.
    21. Scott Middleton & Jinhua Zhao, 0. "Discriminatory attitudes between ridesharing passengers," Transportation, Springer, vol. 0, pages 1-24.
    22. Schmöcker, Jan-Dirk & Quddus, Mohammed A. & Noland, Robert B. & Bell, Michael G.H., 2008. "Mode choice of older and disabled people: a case study of shopping trips in London," Journal of Transport Geography, Elsevier, vol. 16(4), pages 257-267.
    23. Deakin, Elizabeth SM., J.D. & Halpern, Jeremy & Parker, Madeleine, 2020. "Examining the Potential for Uber and Lyft to be Included in Subsidized Mobility Programs Targeted to Seniors, Low Income Adults, and People with Disabilities," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0mw7h24f, Institute of Transportation Studies, UC Berkeley.
    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. Dong, Xianlei & Wang, Ying & Li, Xufeng & Zhong, Zhenfang & Shen, Xinyi & Sun, Huijun & Hu, Beibei, 2023. "Understanding the influencing factors of taxi ride-sharing: A case study of Chengdu, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(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. 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.
    2. Alexandra Perju-Mitran & Daniela Zirra & George Căruţaşu & Alexandru Pîrjan & Justina-Lavinia Stănică, 2020. "Applying the Technology Acceptance Model to Assess the Intention to Use an Aftermarket eCall Based on 112 Device for Passenger Vehicles to Ensure Sustainable Rescue Operations on European Roads," Sustainability, MDPI, vol. 12(22), pages 1-23, November.
    3. Dirsehan, Taşkın & Cankat, Ece, 2021. "Role of mobile food-ordering applications in developing restaurants’ brand satisfaction and loyalty in the pandemic period," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    4. Afsay, Akram & Tahriri, Arash & Rezaee, Zabihollah, 2023. "A meta-analysis of factors affecting acceptance of information technology in auditing," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
    5. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    6. Joan Torrent-Sellens & Cristian Salazar-Concha & Pilar Ficapal-Cusí & Francesc Saigí-Rubió, 2021. "Using Digital Platforms to Promote Blood Donation: Motivational and Preliminary Evidence from Latin America and Spain," IJERPH, MDPI, vol. 18(8), pages 1-17, April.
    7. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    8. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    9. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    10. Chua Chang Jin & Lim Chee Seong & Aye Aye Khin, 2019. "Factors Affecting the Consumer Acceptance towards Fintech Products and Services in Malaysia," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 59-65, January.
    11. Hongping Yuan & Yu Yang & Xiaolong Xue, 2019. "Promoting Owners’ BIM Adoption Behaviors to Achieve Sustainable Project Management," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    12. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    13. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    14. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    15. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    16. Chen Wei, 2021. "The influence of Consumers’ Purchase intention on Smart Wearable Device: A study of Consumers in East China," International Journal of Science and Business, IJSAB International, vol. 5(8), pages 46-72.
    17. Mohammad Tipu Sultan & Farzana Sharmin & Alina Badulescu & Darie Gavrilut & Ke Xue, 2021. "Social Media-Based Content towards Image Formation: A New Approach to the Selection of Sustainable Destinations," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    18. Kamal Abubker Abrahim Sleiman & Lan Juanli & Hongzhen Lei & Ru Liu & Yuanxin Ouyang & Wenge Rong, 2021. "User Trust levels and Adoption of Mobile Payment Systems in China: An Empirical Analysis," SAGE Open, , vol. 11(4), pages 21582440211, November.
    19. Kamrath, Carolin & Rajendran, Srinivasulu & Nenguwo, Ngoni & Afari-Sefa, Victor & Broring, Stefanie, 2018. "Adoption behavior of market traders: an analysis based on Technology Acceptance Model and Theory of Planned Behavior," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(6), July.
    20. Taneja, Shilpa & Ali, Liaqat, 2021. "Determinants of customers’ intentions towards environmentally sustainable banking: Testing the structural model," Journal of Retailing and Consumer Services, Elsevier, vol. 59(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:eee:transa:v:155:y:2022:i:c:p:11-30. 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.