IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v83y2020ics0739885920300329.html
   My bibliography  Save this article

Economic assessment of a Dynamic Autonomous Road Transit system for Singapore

Author

Listed:
  • Sun, Shanshan
  • Wong, Yiik Diew
  • Rau, Andreas

Abstract

Autonomous vehicle (AV) has been discussed as a promising solution to substantially improve transit system performance. However, the feasibility of AVs at a system level remains unclear. This paper offers an early glimpse of the efficiency performance of an AV-based transit system in Singapore, namely Dynamic Autonomous Road Transit (DART). Compared to the existing bus system, the improved operational strategy of DART service can garner higher efficiency with respective reductions of 44%, 66% and 47% in total cost of ownership (TCO), TCO/km/h and TCO/passenger. A stated-preference survey was conducted, and the data analysed via a mixed logit model. Travel time and travel cost remain critical for determining an individual's travelling preferences. In addition, the current paper presents empirical evidence that travellers are more sensitive to travel time reduction, compared to travel cost reduction. It is also found that a traveller's preferences towards walking, waiting and in-vehicle activities play an influential role of behavioural adjustment. Value of time (VOT) was calibrated with a value of S$ 31 and a reduction of 49% was observed for individuals who performed work-related activities while travelling.

Suggested Citation

  • Sun, Shanshan & Wong, Yiik Diew & Rau, Andreas, 2020. "Economic assessment of a Dynamic Autonomous Road Transit system for Singapore," Research in Transportation Economics, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:retrec:v:83:y:2020:i:c:s0739885920300329
    DOI: 10.1016/j.retrec.2020.100843
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885920300329
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.retrec.2020.100843?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. Quah, Euston & Tan, Khye Chong, 1999. "Cost Benefit Analysis with Uncertain Cash Flow and Project Life," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 1(3), pages 393-398.
    2. 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.
    3. Euston Quah & Khye Chong Tan, 1999. "Cost Benefit Analysis with Uncertain Cash Flow and Project Life," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 1(3), pages 393-398, July.
    4. Louise Young, 2002. "Determining the Discount Rate for Government Projects," Treasury Working Paper Series 02/21, New Zealand Treasury.
    5. Venter, Christo & Leong, Wai Yan, 2018. "Workshop 6 report: Wider impacts of public transport and successful implementation of desirable and beneficial projects," Research in Transportation Economics, Elsevier, vol. 69(C), pages 489-493.
    6. Wong, Yale Z. & Hensher, David A., 2018. "The Thredbo story: A journey of competition and ownership in land passenger transport," Research in Transportation Economics, Elsevier, vol. 69(C), pages 9-22.
    7. Kim, Euijune & Hewings, Geoffrey J.D. & Amir, Hidayat, 2017. "Economic evaluation of transportation projects: An application of Financial Computable General Equilibrium model," Research in Transportation Economics, Elsevier, vol. 61(C), pages 44-55.
    8. Stanley, John & Ljungberg, Anders, 2018. "Workshop 5 report: Bridging the benefit / funding gap," Research in Transportation Economics, Elsevier, vol. 69(C), pages 438-444.
    9. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    10. Aybike Ongel & Erik Loewer & Felix Roemer & Ganesh Sethuraman & Fengqi Chang & Markus Lienkamp, 2019. "Economic Assessment of Autonomous Electric Microtransit Vehicles," Sustainability, MDPI, vol. 11(3), pages 1-18, January.
    11. Currie, Graham & Hidalgo, Dario, 2018. "Workshop 1 report: Integrating rail and bus based modes (including BRT) into a user-relevant transport system," Research in Transportation Economics, Elsevier, vol. 69(C), pages 35-38.
    12. Rabbitt, Niamh & Ghosh, Bidisha, 2016. "Economic and environmental impacts of organised Car Sharing Services: A case study of Ireland," Research in Transportation Economics, Elsevier, vol. 57(C), pages 3-12.
    13. Tirachini, Alejandro & Hensher, David A. & Jara-Díaz, Sergio R., 2010. "Comparing operator and users costs of light rail, heavy rail and bus rapid transit over a radial public transport network," Research in Transportation Economics, Elsevier, vol. 29(1), pages 231-242.
    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. Rossetti, Tomás & Broaddus, Andrea & Ruhl, Melissa & Daziano, Ricardo, 2023. "Commuter preferences for a first-mile/last-mile microtransit service in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 167(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. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    2. 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).
    3. Lai, N.Y.G. & Yap, E.H. & Lee, C.W., 2011. "Viability of CCS: A broad-based assessment for Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3608-3616.
    4. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    5. Bogdanov, Dmitrii & Toktarova, Alla & Breyer, Christian, 2019. "Transition towards 100% renewable power and heat supply for energy intensive economies and severe continental climate conditions: Case for Kazakhstan," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    6. Lafond, François & Bailey, Aimee Gotway & Bakker, Jan David & Rebois, Dylan & Zadourian, Rubina & McSharry, Patrick & Farmer, J. Doyne, 2018. "How well do experience curves predict technological progress? A method for making distributional forecasts," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 104-117.
    7. Harborne, Paul & Hendry, Chris, 2009. "Pathways to commercial wind power in the US, Europe and Japan: The role of demonstration projects and field trials in the innovation process," Energy Policy, Elsevier, vol. 37(9), pages 3580-3595, September.
    8. Youssef Amry & Elhoussin Elbouchikhi & Franck Le Gall & Mounir Ghogho & Soumia El Hani, 2022. "Electric Vehicle Traction Drives and Charging Station Power Electronics: Current Status and Challenges," Energies, MDPI, vol. 15(16), pages 1-30, August.
    9. Vigren, Andreas & Pyddoke, Roger, 2020. "The impact on bus ridership of passenger incentive contracts in public transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 144-159.
    10. Bolinger, Mark & Wiser, Ryan, 2009. "Wind power price trends in the United States: Struggling to remain competitive in the face of strong growth," Energy Policy, Elsevier, vol. 37(3), pages 1061-1071, March.
    11. Chakravorty, Ujjayant & Leach, Andrew & Moreaux, Michel, 2009. ""Twin Peaks" in Energy Prices: A Hotelling Model with Pollution Learning," Working Papers 2009-10, University of Alberta, Department of Economics.
    12. Rochedo, Pedro R.R. & Szklo, Alexandre, 2013. "Designing learning curves for carbon capture based on chemical absorption according to the minimum work of separation," Applied Energy, Elsevier, vol. 108(C), pages 383-391.
    13. Méjean, Aurélie & Hope, Chris, 2008. "Modelling the costs of non-conventional oil: A case study of Canadian bitumen," Energy Policy, Elsevier, vol. 36(11), pages 4205-4216, November.
    14. Moccia, Luigi & Laporte, Gilbert, 2016. "Improved models for technology choice in a transit corridor with fixed demand," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 245-270.
    15. Dugan, Anna & Mayer, Jakob & Thaller, Annina & Bachner, Gabriel & Steininger, Karl W., 2022. "Developing policy packages for low-carbon passenger transport: A mixed methods analysis of trade-offs and synergies," Ecological Economics, Elsevier, vol. 193(C).
    16. Lee, Shun-Chung & Shih, Li-Hsing, 2010. "Renewable energy policy evaluation using real option model -- The case of Taiwan," Energy Economics, Elsevier, vol. 32(Supplemen), pages 67-78, September.
    17. Lee, Jaehyung & Lee, Euntak & Yun, Jaewoong & Chung, Jin-Hyuk & Kim, Jinhee, 2021. "Latent heterogeneity in autonomous driving preferences and in-vehicle activities by travel distance," Journal of Transport Geography, Elsevier, vol. 94(C).
    18. 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.
    19. Chen, Huayi & Ma, Tieju, 2017. "Optimizing systematic technology adoption with heterogeneous agents," European Journal of Operational Research, Elsevier, vol. 257(1), pages 287-296.
    20. Chang, Yu Sang, 2014. "Comparative analysis of long-term road fatality targets for individual states in the US—An application of experience curve models," Transport Policy, Elsevier, vol. 36(C), pages 53-69.

    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:retrec:v:83:y:2020:i:c:s0739885920300329. 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/620614/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.