IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v208y2026ics0965856426001199.html

Revolutionizing elderly mobility through autonomous demand-responsive transport services

Author

Listed:
  • Wong, R.C.P.
  • Wan, L.Y.
  • Szeto, W.Y.
  • Ali, Nazam

Abstract

The ageing population presents a global demographic challenge, as elderly mobility declines rapidly due to their lack of stable income and limited physical and cognitive abilities. Autonomous demand-responsive transport emerges as a potential solution to cater to their specific transport needs. To comprehend their acceptance and adoption of autonomous demand-responsive transport, a stated preference survey was conducted, interviewing 232 elderly individuals aged 60 or above in Hong Kong. The design of choice experiments was pivoted with respect to revealed trips from the surveyed elderly to simulate realistic choice scenarios. Using the collected data, logit models were developed to identify contributory factors influencing their mode choice between their currently chosen alternative and the new transport mode. The results indicate that travel fare, walk time, on-street wait time, in-vehicle travel time, seat availability, and the provision of on-board staff are the significant attributes. Notably, seat availability possesses the highest impact among all attributes. It is therefore recommended that seats should be reserved in conjunction with the demand-responsive service. An unobserved heterogeneity among the elderly is identified in the provision of on-board staff. About 35% of them hold a negative perception of this arrangement while others were more likely to adopt an on-board staff member for safety concerns. The study highlights that the elderly were hesitant to shift to autonomous demand-responsive transport due to their concerns about autonomous driving and digital proficiency. As such, it is recommended that the implementation of autonomous demand-responsive transport should be progressive in a transit-oriented city.

Suggested Citation

  • Wong, R.C.P. & Wan, L.Y. & Szeto, W.Y. & Ali, Nazam, 2026. "Revolutionizing elderly mobility through autonomous demand-responsive transport services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 208(C).
  • Handle: RePEc:eee:transa:v:208:y:2026:i:c:s0965856426001199
    DOI: 10.1016/j.tra.2026.104978
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856426001199
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2026.104978?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Coutinho, Felipe Mariz & van Oort, Niels & Christoforou, Zoi & Alonso-González, María J. & Cats, Oded & Hoogendoorn, Serge, 2020. "Impacts of replacing a fixed public transport line by a demand responsive transport system: Case study of a rural area in Amsterdam," Research in Transportation Economics, Elsevier, vol. 83(C).
    2. David Metz, 2003. "Transport policy for an ageing population," Transport Reviews, Taylor & Francis Journals, vol. 23(4), pages 375-386, July.
    3. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
    4. Graham Currie & Alexa Delbosc, 2010. "Modelling the social and psychological impacts of transport disadvantage," Transportation, Springer, vol. 37(6), pages 953-966, November.
    5. Wong, R.C.P. & Szeto, W.Y. & Yang, Linchuan & Li, Y.C. & Wong, S.C., 2018. "Public transport policy measures for improving elderly mobility," Transport Policy, Elsevier, vol. 63(C), pages 73-79.
    6. 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.
    7. He, Sylvia Y. & Thøgersen, John & Cheung, Yannie H.Y. & Yu, Alesia H.Y., 2020. "Ageing in a transit-oriented city: Satisfaction with transport, social inclusion and wellbeing," Transport Policy, Elsevier, vol. 97(C), pages 85-94.
    8. Bösch, Patrick M. & Becker, Felix & Becker, Henrik & Axhausen, Kay W., 2018. "Cost-based analysis of autonomous mobility services," Transport Policy, Elsevier, vol. 64(C), pages 76-91.
    9. Felix Becker & Kay W. Axhausen, 2017. "Literature review on surveys investigating the acceptance of automated vehicles," Transportation, Springer, vol. 44(6), pages 1293-1306, November.
    10. Kavta, Kuldeep & Bösehans, Gustav & Bell, Margaret Carol & Liao, Fanchao & Correia, Gonçalo Homem de Almeida & Dissanayake, Dilum, 2024. "Assessing the spatial transferability of mode choice models: A case of shared electric mobility hubs (eHUBS) in Amsterdam and Manchester," Transport Policy, Elsevier, vol. 156(C), pages 101-111.
    11. Xiaoxia Dong & Matthew DiScenna & Erick Guerra, 2019. "Transit user perceptions of driverless buses," Transportation, Springer, vol. 46(1), pages 35-50, February.
    12. Wong, R.C.P. & Yang, Linchuan & Szeto, W.Y. & Li, Y.C. & Wong, S.C., 2020. "The effects of accessible taxi service and taxi fare subsidy scheme on the elderly's willingness-to-travel," Transport Policy, Elsevier, vol. 97(C), pages 129-136.
    13. Szimba, Eckhard & Hartmann, Martin, 2020. "Assessing travel time savings and user benefits of automated driving – A case study for a commuting relation," Transport Policy, Elsevier, vol. 98(C), pages 229-237.
    14. Sergei Dytckov & Jan A. Persson & Fabian Lorig & Paul Davidsson, 2022. "Potential Benefits of Demand Responsive Transport in Rural Areas: A Simulation Study in Lolland, Denmark," Sustainability, MDPI, vol. 14(6), pages 1-21, March.
    15. 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.
    16. Zahra Navidi & Nicole Ronald & Stephan Winter, 2018. "Comparison between ad-hoc demand responsive and conventional transit: a simulation study," Public Transport, Springer, vol. 10(1), pages 147-167, May.
    17. Abe, Ryosuke, 2019. "Introducing autonomous buses and taxis: Quantifying the potential benefits in Japanese transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 94-113.
    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. Kassens-Noor, Eva & Kotval-Karamchandani, Zeenat & Cai, Meng, 2020. "Willingness to ride and perceptions of autonomous public transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 92-104.
    2. Oh, Dain & Lee, Eun Hak & Kim, Hyunmyung & Kim, Eui-Jin, 2026. "Impact of bridging technology on older adults’ use of demand-responsive transit in a super-aged society," Transportation Research Part A: Policy and Practice, Elsevier, vol. 204(C).
    3. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    4. Hyunmyung Kim & Jaeheon Choi & Sungjin Cho & Feng Liu & Hyungmin Jin & Suhwan Lim & Dongjun Kim & Jun Lee & Chang-Hyeon Joh, 2022. "Identifying Different Sources of the Benefit: Simulation of DRT Operation in the Heartland and Hinterland Regions," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    5. Dong Lin & Jianqiang Cui, 2021. "Transport and Mobility Needs for an Ageing Society from a Policy Perspective: Review and Implications," IJERPH, MDPI, vol. 18(22), pages 1-16, November.
    6. Tirachini, Alejandro & Antoniou, Constantinos, 2020. "The economics of automated public transport: Effects on operator cost, travel time, fare and subsidy," Economics of Transportation, Elsevier, vol. 21(C).
    7. Jichao Geng & Qun Shi & Rebecca Kechen Dong, 2025. "A Systematic Review of Government Measures to Improve Age-Friendly Transportation in the U.S., U.K., Japan, and China," Sustainability, MDPI, vol. 17(7), pages 1-28, March.
    8. Duvarci, Yavuz & Yigitcanlar, Tan & Mizokami, Shoshi, 2015. "Transportation disadvantage impedance indexing: A methodological approach to reduce policy shortcomings," Journal of Transport Geography, Elsevier, vol. 48(C), pages 61-75.
    9. Brunelli, Matteo & Ditta, Chiara Caterina & Postorino, Maria Nadia, 2023. "SP surveys to estimate Airport Shuttle demand in an Urban Air Mobility context," Transport Policy, Elsevier, vol. 141(C), pages 129-139.
    10. M. Eugenia López-Lambas & Andrea Alonso, 2019. "The Driverless Bus: An Analysis of Public Perceptions and Acceptability," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    11. Brudner, Amir & Patricio, Anne S. & Santos, Gonçalo Gonçalves Duarte & Antunes, António Pais & Ben-Akiva, Moshe, 2026. "Can driving automation make demand responsive transit viable? A strategic modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 204(C).
    12. Perrine, Kenneth A. & Kockelman, Kara M. & Huang, Yantao, 2020. "Anticipating long-distance travel shifts due to self-driving vehicles," Journal of Transport Geography, Elsevier, vol. 82(C).
    13. Chen, Wendong & Cheng, Long & Chen, Xuewu & Chen, Jingxu & Cao, Mengqiu, 2021. "Measuring accessibility to health care services for older bus passengers: A finer spatial resolution," Journal of Transport Geography, Elsevier, vol. 93(C).
    14. Ryosuke Abe & Yusuke Kita & Daisuke Fukuda, 2020. "An Experimental Approach to Understanding the Impacts of Monitoring Methods on Use Intentions for Autonomous Vehicle Services: Survey Evidence from Japan," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    15. Kim, Sung Hoo & Circella, Giovanni & Mokhtarian, Patricia L., 2019. "Identifying latent mode-use propensity segments in an all-AV era," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 192-207.
    16. Badia, Hugo & Jenelius, Erik, 2021. "Design and operation of feeder systems in the era of automated and electric buses," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 146-172.
    17. 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.
    18. Xiaobei Jiang & Wenlin Yu & Wenjie Li & Jiawen Guo & Xizheng Chen & Hongwei Guo & Wuhong Wang & Tao Chen, 2021. "Factors Affecting the Acceptance and Willingness-to-Pay of End-Users: A Survey Analysis on Automated Vehicles," Sustainability, MDPI, vol. 13(23), pages 1-12, November.
    19. Simone Pettigrew & Leon Booth & Victoria Farrar & Branislava Godic & Julie Brown & Charles Karl & Jason Thompson, 2022. "Walking in the Era of Autonomous Vehicles," Sustainability, MDPI, vol. 14(17), pages 1-13, August.
    20. Suk Min Pang & Jen Sim Ho & Booi Chen Tan & Teck Chai Lau & Nasreen Khan, 2024. "Navigating the Road to Acceptance: Unveiling Psychological and Socio-Demographic Influences on Autonomous Vehicle Adoption in Malaysia," Sustainability, MDPI, vol. 16(18), pages 1-16, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:208:y:2026:i:c:s0965856426001199. 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.