IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v138y2023icp108-118.html
   My bibliography  Save this article

Drivers’ attention economy and adoption to autonomous vehicle

Author

Listed:
  • Sun, Shanshan
  • Wong, Yiik Diew

Abstract

Limits in attention restrict drivers from performing many desired non-driving activities while manoeuvring their vehicles. This constraint facilitates the use of transport services with autonomous vehicles (AVs). In this study, we interviewed 763 car drivers about their driving behaviour, their driving-based multitasking habit, and their driving-based smart device addiction. We constructed an integrated choice model with latent variable (ICLV) and identified the latent effects of two variables on both the preference for AV-based services and the value of travel time (VTT) at an individual level. Our results suggest that the multitasking habit discourages a driver from switching to AV-based services, while the driving-based device addiction encourages drivers to do so. This is expected, since drivers having a stronger driving-based multitasking habit are likely to be more capable of carrying out non-driving activities while manoeuvring their vehicle. As a result, skilful drivers may be reluctant to adopt an AV service. In contrast, those who demonstrate a higher level of driving-based addiction to their smart device are more likely to embrace AV services, since the addiction implies a desire to focus their attention on it instead of on driving. We found a stronger multitasking habit to reduce VTT in both AV and public transport services. In contrast, addiction to smart device increases generic cost, increasing VTT. We further investigated factors affecting how these two latent variables form and we identify young, male drivers (under 40 years old) that drive very frequently (> 3 times a day) should be the ideal advertising targets should AV-based services are rolled out.

Suggested Citation

  • Sun, Shanshan & Wong, Yiik Diew, 2023. "Drivers’ attention economy and adoption to autonomous vehicle," Transport Policy, Elsevier, vol. 138(C), pages 108-118.
    • Handle: RePEc:eee:trapol:v:138:y:2023:i:c:p:108-118
    DOI: 10.1016/j.tranpol.2023.05.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X2300135X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2023.05.006?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. Lothlorien Redmond & Patricia Mokhtarian, 2001. "The positive utility of the commute: modeling ideal commute time and relative desired commute amount," Transportation, Springer, vol. 28(2), pages 179-205, May.
    2. Mokhtarian, Patricia L. & Salomon, Ilan, 2001. "How derived is the demand for travel? Some conceptual and measurement considerations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(8), pages 695-719, September.
    3. Ettema, Dick & Friman, Margareta & Gärling, Tommy & Olsson, Lars E. & Fujii, Satoshi, 2012. "How in-vehicle activities affect work commuters’ satisfaction with public transport," Journal of Transport Geography, Elsevier, vol. 24(C), pages 215-222.
    4. Mustapha Harb & Yu Xiao & Giovanni Circella & Patricia L. Mokhtarian & Joan L. Walker, 2018. "Projecting travelers into a world of self-driving vehicles: estimating travel behavior implications via a naturalistic experiment," Transportation, Springer, vol. 45(6), pages 1671-1685, November.
    5. Malokin, Aliaksandr & Circella, Giovanni & Mokhtarian, Patricia L., 2019. "How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 82-114.
    6. Imre Keseru & Cathy Macharis, 2018. "Travel-based multitasking: review of the empirical evidence," Transport Reviews, Taylor & Francis Journals, vol. 38(2), pages 162-183, March.
    7. De Vos, Jonas & Singleton, Patrick A., 2020. "Travel and cognitive dissonance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 525-536.
    8. Correia, Gonçalo Homem de Almeida & Looff, Erwin & van Cranenburgh, Sander & Snelder, Maaike & van Arem, Bart, 2019. "On the impact of vehicle automation on the value of travel time while performing work and leisure activities in a car: Theoretical insights and results from a stated preference survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 359-382.
    9. Jain, Juliet & Lyons, Glenn, 2008. "The gift of travel time," Journal of Transport Geography, Elsevier, vol. 16(2), pages 81-89.
    10. Papu Carrone, Andrea & Hoening, Valerie Maria & Jensen, Anders Fjendbo & Mabit, Stefan Eriksen & Rich, Jeppe, 2020. "Understanding car sharing preferences and mode substitution patterns: A stated preference experiment," Transport Policy, Elsevier, vol. 98(C), pages 139-147.
    11. Mark Wardman & Phani Chintakayala & Chris Heywood, 2020. "The valuation and demand impacts of the worthwhile use of travel time with specific reference to the digital revolution and endogeneity," Transportation, Springer, vol. 47(3), pages 1515-1540, June.
    12. Aggelos Soteropoulos & Martin Berger & Francesco Ciari, 2019. "Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 29-49, January.
    13. Kenyon, Susan & Lyons, Glenn, 2007. "Introducing multitasking to the study of travel and ICT: Examining its extent and assessing its potential importance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 161-175, February.
    Full references (including those not matched with items on IDEAS)

    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. Tang, Jia & Mokhtarian, Patricia L. & Zhen, Feng, 2020. "How do passengers allocate and evaluate their travel time? Evidence from a survey on the Shanghai–Nanjing high speed rail corridor, China," Journal of Transport Geography, Elsevier, vol. 85(C).
    2. Muhamad Rizki & Tri Basuki Joewono & Dimas B. E. Dharmowijoyo & Prawira Fajarindra Belgiawan, 2021. "Does multitasking improve the travel experience of public transport users? Investigating the activities during commuter travels in the Bandung Metropolitan Area, Indonesia," Public Transport, Springer, vol. 13(2), pages 429-454, June.
    3. Molin, Eric & Adjenughwure, Kingsley & de Bruyn, Menno & Cats, Oded & Warffemius, Pim, 2020. "Does conducting activities while traveling reduce the value of time? Evidence from a within-subjects choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 18-29.
    4. Shamshiripour, Ali & Rahimi, Ehsan & (Kouros) Mohammadian, Abolfazl & Auld, Joshua, 2020. "Investigating the influence of latent lifestyles on productive travels: Insights into designing autonomous transit system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 469-484.
    5. Anciaes, Paulo & Jones, Peter, 2020. "Transport policy for liveability – Valuing the impacts on movement, place, and society," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 157-173.
    6. Mark Wardman & Phani Chintakayala & Chris Heywood, 2020. "The valuation and demand impacts of the worthwhile use of travel time with specific reference to the digital revolution and endogeneity," Transportation, Springer, vol. 47(3), pages 1515-1540, June.
    7. Pudāne, Baiba & van Cranenburgh, Sander & Chorus, Caspar G., 2021. "A day in the life with an automated vehicle: Empirical analysis of data from an interactive stated activity-travel survey," Journal of choice modelling, Elsevier, vol. 39(C).
    8. Debbaghi, Fatima-Zahra & Kroesen, Maarten & de Vries, Gerdien & Pudāne, Baiba, 2024. "Daily schedule changes in the automated vehicle era: Uncovering the heterogeneity behind the veil of low survey commitment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    9. Choi, Sungtaek & Mokhtarian, Patricia L., 2020. "How attractive is it to use the internet while commuting? A work-attitude-based segmentation of Northern California commuters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 37-50.
    10. Jia Tang & Feng Zhen & Jason Cao & Patricia L. Mokhtarian, 2018. "How do passengers use travel time? A case study of Shanghai–Nanjing high speed rail," Transportation, Springer, vol. 45(2), pages 451-477, March.
    11. Le, Huyen T.K. & Buehler, Ralph & Fan, Yingling & Hankey, Steve, 2020. "Expanding the positive utility of travel through weeklong tracking: Within-person and multi-environment variability of ideal travel time," Journal of Transport Geography, Elsevier, vol. 84(C).
    12. Bounie, Nathan & Adoue, François & Koning, Martin & L'Hostis, Alain, 2019. "What value do travelers put on connectivity to mobile phone and Internet networks in public transport? Empirical evidence from the Paris region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 158-177.
    13. Milakis, Dimitris & Cervero, Robert & van Wee, Bert & Maat, Kees, 2015. "Do people consider an acceptable travel time? Evidence from Berkeley, CA," Journal of Transport Geography, Elsevier, vol. 44(C), pages 76-86.
    14. Pudāne, Baiba, 2019. "Departure Time Choice and Bottleneck Congestion with Automated Vehicles: Role of On-board Activities," MPRA Paper 96328, University Library of Munich, Germany.
    15. Jonas De Vos, 2019. "Analysing the effect of trip satisfaction on satisfaction with the leisure activity at the destination of the trip, in relationship with life satisfaction," Transportation, Springer, vol. 46(3), pages 623-645, June.
    16. Malokin, Aliaksandr & Circella, Giovanni & Mokhtarian, Patricia L., 2019. "How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 82-114.
    17. Hook, Hannah & De Vos, Jonas & Van Acker, Veronique & Witlox, Frank, 2021. "Do travel options influence how commute time satisfaction relates to the residential built environment?," Journal of Transport Geography, Elsevier, vol. 92(C).
    18. Lyons, Glenn & Jain , Juliet & Susilo , Yusak O. & Atkins, Steve, 2013. "Comparing rail passengers’ travel time use in Great Britain between 2004 and 2010," Working papers in Transport Economics 2013:17, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    19. Chiara Calastri & Jacek Pawlak & Richard Batley, 2022. "Participation in online activities while travelling: an application of the MDCEV model in the context of rail travel," Transportation, Springer, vol. 49(1), pages 61-87, February.
    20. Patricia L. Mokhtarian, 2019. "Subjective well-being and travel: retrospect and prospect," Transportation, Springer, vol. 46(2), pages 493-513, April.

    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:trapol:v:138:y:2023:i:c:p:108-118. 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/30473/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.