IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v169y2023ics0965856423000034.html
   My bibliography  Save this article

Examining the effects of Automated Mobility-on-Demand services on public transport systems using an agent-based simulation approach

Author

Listed:
  • Nguyen-Phuoc, Duy Q.
  • Zhou, Meng
  • Hong Chua, Ming
  • Romano Alho, André
  • Oh, Simon
  • Seshadri, Ravi
  • Le, Diem-Trinh

Abstract

Several cities worldwide have been attempting to adopt “car-lite” policies to reduce traffic congestion and urban pollution. In addition to measures such as re-designing neighbourhoods and encouraging active modes, much expectation has been placed on the adoption of new and innovative modes, particularly shared AVs, or Automated Mobility-on-Demand (AMOD). Although the realisation of AMOD appears to be imminent, little is known about its potential effects on current transport systems. In this paper, using SimMobility, an agent-based microsimulation platform, we explored the impact of AMOD on public transport (PT). Two AV adoption scenarios were simulated: (1) “Partial Automation” where AMOD is introduced alongside existing modes, and (2) “Full Automation” where the use of private human-driven vehicles is prohibited upon the implementation of AMOD. We found that, compared to the base case (where there is no AMOD), the share of PT usage decreased significantly in the Partial Automation scenario whereas it increased in the Full Automation scenario. While the overall congestion level was reduced in the Full Automation scenario, road in the Partial Automation scenario tended to suffer from high travel demand. The increased demand for PT also prompts for a revision of current service schedules. The temporal and spatial analyses of PT demand between scenarios have brought some useful implications on the implementation of AMOD for urban and transport planners.

Suggested Citation

  • Nguyen-Phuoc, Duy Q. & Zhou, Meng & Hong Chua, Ming & Romano Alho, André & Oh, Simon & Seshadri, Ravi & Le, Diem-Trinh, 2023. "Examining the effects of Automated Mobility-on-Demand services on public transport systems using an agent-based simulation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    • Handle: RePEc:eee:transa:v:169:y:2023:i:c:s0965856423000034
    DOI: 10.1016/j.tra.2023.103583
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856423000034
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2023.103583?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. Noland, Robert B., 2001. "Relationships between highway capacity and induced vehicle travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 47-72, January.
    2. Contreras, Seth D. & Paz, Alexander, 2018. "The effects of ride-hailing companies on the taxicab industry in Las Vegas, Nevada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 63-70.
    3. Duy Q. Nguyen-Phuoc & William Young & Graham Currie & Chris Gruyter, 2020. "Traffic congestion relief associated with public transport: state-of-the-art," Public Transport, Springer, vol. 12(2), pages 455-481, June.
    4. 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.
    5. Rayle, Lisa & Dai, Danielle & Chan, Nelson & Cervero, Robert & Shaheen, Susan PhD, 2016. "Just A Better Taxi? A Survey-Based Comparison of Taxis, Transit, and Ridesourcing Services in San Francisco," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt60v8r346, Institute of Transportation Studies, UC Berkeley.
    6. Hyland, Michael & Mahmassani, Hani S., 2020. "Operational benefits and challenges of shared-ride automated mobility-on-demand services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 251-270.
    7. Aarhaug, Jørgen & Olsen, Silvia, 2018. "Implications of ride-sourcing and self-driving vehicles on the need for regulation in unscheduled passenger transport," Research in Transportation Economics, Elsevier, vol. 69(C), pages 573-582.
    8. ., 2020. "Inventive ideas as a driver of technology transfer," Chapters, in: Invention, Innovation and U.S. Federal Laboratories, chapter 5, pages 65-78, Edward Elgar Publishing.
    9. Nguyen-Phuoc, Duy Quy & Su, Diep Ngoc & Tran, Phuong Thi Kim & Le, Diem-Trinh Thi & Johnson, Lester W., 2020. "Factors influencing customer's loyalty towards ride-hailing taxi services – A case study of Vietnam," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 96-112.
    10. Rayle, Lisa & Dai, Danielle & Chan, Nelson & Cervero, Robert & Shaheen, Susan, 2016. "Just a better taxi? A survey-based comparison of taxis, transit, and ridesourcing services in San Francisco," Transport Policy, Elsevier, vol. 45(C), pages 168-178.
    11. Oh, Simon & Seshadri, Ravi & Azevedo, Carlos Lima & Kumar, Nishant & Basak, Kakali & Ben-Akiva, Moshe, 2020. "Assessing the impacts of automated mobility-on-demand through agent-based simulation: A study of Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 367-388.
    12. Nguyen-Phuoc, Duy Q. & Currie, Graham & De Gruyter, Chris & Kim, Inhi & Young, William, 2018. "Modelling the net traffic congestion impact of bus operations in Melbourne," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 1-12.
    13. Bat-hen Nahmias-Biran & Jimi B. Oke & Nishant Kumar & Carlos Lima Azevedo & Moshe Ben-Akiva, 2021. "Evaluating the impacts of shared automated mobility on-demand services: an activity-based accessibility approach," Transportation, Springer, vol. 48(4), pages 1613-1638, August.
    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. Bat-Hen Nahmias-Biran & Gabriel Dadashev & Yedidya Levi, 2023. "Sustainable Automated Mobility-On-Demand Strategies in Dense Urban Areas: A Case Study of the Tel Aviv Metropolis in 2040," Sustainability, MDPI, vol. 15(22), pages 1-19, November.
    2. Peer, Stefanie & Müller, Johannes & Naqvi, Asjad & Straub, Markus, 2024. "Introducing shared, electric, autonomous vehicles (SAEVs) in sub-urban zones: Simulating the case of Vienna," Transport Policy, Elsevier, vol. 147(C), pages 232-243.
    3. Oana Luca & Liliana Andrei & Cristina Iacoboaea & Florian Gaman, 2023. "Unveiling the Hidden Effects of Automated Vehicles on “Do No Significant Harm” Components," Sustainability, MDPI, vol. 15(14), pages 1-26, July.
    4. Leon Booth & Victoria Farrar & Jason Thompson & Rajith Vidanaarachchi & Branislava Godic & Julie Brown & Charles Karl & Simone Pettigrew, 2023. "Anticipated Transport Choices in a World Featuring Autonomous Transport Options," Sustainability, MDPI, vol. 15(14), pages 1-10, July.

    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. Nguyen-Phuoc, Duy Quy & Vo, Nguyen S. & Su, Diep Ngoc & Nguyen, Vinh Hoang & Oviedo-Trespalacios, Oscar, 2021. "What makes passengers continue using and talking positively about ride-hailing services? The role of the booking app and post-booking service quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 367-384.
    2. Vignon, Daniel & Yin, Yafeng & Ke, Jintao, 2023. "Regulating the ride-hailing market in the age of uberization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    3. 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.
    4. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    5. 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.
    6. 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.
    7. Zhang, Yufeng & Khani, Alireza, 2021. "Integrating transit systems with ride-sourcing services: A study on the system users’ stochastic equilibrium problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 95-123.
    8. Yu, Haitao & Peng, Zhong-Ren, 2019. "Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression," Journal of Transport Geography, Elsevier, vol. 75(C), pages 147-163.
    9. Ilahi, Anugrah & Belgiawan, Prawira F. & Balac, Milos & Axhausen, Kay W., 2021. "Understanding travel and mode choice with emerging modes; a pooled SP and RP model in Greater Jakarta, Indonesia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 398-422.
    10. Tirachini, Alejandro & del Río, Mariana, 2019. "Ride-hailing in Santiago de Chile: Users’ characterisation and effects on travel behaviour," Transport Policy, Elsevier, vol. 82(C), pages 46-57.
    11. Vanderschuren, Marianne & Baufeldt, Jennifer, 2018. "Ride-sharing: A potential means to increase the quality and availability of motorised trips while discouraging private motor ownership in developing cities?," Research in Transportation Economics, Elsevier, vol. 69(C), pages 607-614.
    12. Kumar, Akshay & Gupta, Akshay & Parida, Manoranjan & Chauhan, Vivek, 2022. "Service quality assessment of ride-sourcing services: A distinction between ride-hailing and ride-sharing services," Transport Policy, Elsevier, vol. 127(C), pages 61-79.
    13. Nguyen-Phuoc, Duy Quy & Su, Diep Ngoc & Nguyen, Minh Hieu & Vo, Nguyen S. & Oviedo-Trespalacios, Oscar, 2022. "Factors influencing intention to use on-demand shared ride-hailing services in Vietnam: risk, cost or sustainability?," Journal of Transport Geography, Elsevier, vol. 99(C).
    14. Brown, Anne E., 2020. "Who and where rideshares? Rideshare travel and use in Los Angeles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 120-134.
    15. Wen, Xiao & Ranjbari, Andisheh & Qi, Fan & Clewlow, Regina R. & MacKenzie, Don, 2021. "Challenges in credibly estimating the travel demand effects of mobility services," Transport Policy, Elsevier, vol. 103(C), pages 224-235.
    16. Xiong, Ziyue & Jian Li, & Wu, Hangbin, 2021. "Understanding operation patterns of urban online ride-hailing services: A case study of Xiamen," Transport Policy, Elsevier, vol. 101(C), pages 100-118.
    17. Goodspeed, Robert & Xie, Tian & Dillahunt, Tawanna R. & Lustig, Josh, 2019. "An alternative to slow transit, drunk driving, and walking in bad weather: An exploratory study of ridesourcing mode choice and demand," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    18. Li, Shengxiao(Alex) & Zhai, Wei & Jiao, Junfeng & Wang, Chao (Kenneth), 2022. "Who loses and who wins in the ride-hailing era? A case study of Austin, Texas," Transport Policy, Elsevier, vol. 120(C), pages 130-138.
    19. 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.
    20. Sun, Daniel(Jian) & Ding, Xueqing, 2019. "Spatiotemporal evolution of ridesourcing markets under the new restriction policy: A case study in Shanghai," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 227-239.

    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:169:y:2023:i:c:s0965856423000034. 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.