IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i14p4163-d591780.html
   My bibliography  Save this article

The Influence of Introducing Autonomous Vehicles on Conventional Transport Modes and Travel Time

Author

Listed:
  • Jamil Hamadneh

    (Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle, Engineering, Budapest University of Technology and Economics (BME), 1111 Budapest, Hungary)

  • Domokos Esztergár-Kiss

    (Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle, Engineering, Budapest University of Technology and Economics (BME), 1111 Budapest, Hungary)

Abstract

Introducing autonomous vehicles (AVs) on the market is likely to bring changes in the mobility of travelers. In this work, extensive research is conducted to study the impact of different levels of automation on the mobility of people, and full driving automation needs further study because it is still under development. The impacts of AVs on travel behavior can be studied by integrating AVs into activity-based models. The contribution of this study is the estimation of AVs’ impacts on travelers’ mobility when different travel demands are provided, and also the estimation of AVs’ impact on the modal share considering the different willingness of pay to travel by AVs. This study analyses the potential impacts of AVs on travel behavior by investigating a sample of 8500 travelers who recorded their daily activity plans in Budapest, Hungary. Three scenarios are derived to study travel behavior and to find the impacts of the AVs on the conventional transport modes. The scenarios include (1) a simulation of the existing condition, (2) a simulation of AVs as a full replacement for conventional transport modes, and (3) a simulation of the AVs with conventional transport modes concerning different marginal utilities of travel time in AVs. The simulations are done by using the Multi-Agent Transport Simulation (MATSim) open-source software, which applies a co-evolutionary optimization algorithm. Using the scenarios in the study, we develop a base model, determine the required fleet size of AVs needed to fulfill the demand of the different groups of travelers, and predict the new modal shares of the transport modes when AVs appear on the market. The results demonstrate that the travelers are exposed to a reduction in travel time once conventional transport modes are replaced by AVs. The impact of the value of travel time (VOT) on the usage of AVs and the modal share is demonstrated. The decrease in the VOT of AVs increases the usage of AVs, and it particularly decreases the usage of cars even more than other transport modes. AVs strongly affect the public transport when the VOT of AVs gets close to the VOT of public transport. Finally, the result shows that 1 AV can replace 7.85 conventional vehicles with acceptable waiting time.

Suggested Citation

  • Jamil Hamadneh & Domokos Esztergár-Kiss, 2021. "The Influence of Introducing Autonomous Vehicles on Conventional Transport Modes and Travel Time," Energies, MDPI, vol. 14(14), pages 1-28, July.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4163-:d:591780
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/14/4163/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/14/4163/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ennio Cascetta, 2009. "Random Utility Theory," Springer Optimization and Its Applications, in: Transportation Systems Analysis, chapter 0, pages 89-167, Springer.
    2. Ennio Cascetta, 2009. "Transportation Systems Analysis," Springer Optimization and Its Applications, Springer, number 978-0-387-75857-2, December.
    3. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1993. "A Structural Model of Peak-Period Congestion: A Traffic Bottleneck with Elastic Demand," American Economic Review, American Economic Association, vol. 83(1), pages 161-179, March.
    4. Foued Aloulou, 2018. "The Application of Discrete Choice Models in Transport," Chapters, in: Turkmen Goksel (ed.), Statistics - Growing Data Sets and Growing Demand for Statistics, IntechOpen.
    5. Mackie, P.J. & Jara-Díaz, S. & Fowkes, A.S., 0. "The value of travel time savings in evaluation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 91-106, April.
    6. Saptarshi Das & Ashok Sekar & Roger Chen & Hyung Chul Kim & Timothy J. Wallington & Eric Williams, 2017. "Impacts of Autonomous Vehicles on Consumers Time-Use Patterns," Challenges, MDPI, vol. 8(2), pages 1-15, December.
    7. 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.
    8. Correia, Gonçalo Homem de Almeida & van Arem, Bart, 2016. "Solving the User Optimum Privately Owned Automated Vehicles Assignment Problem (UO-POAVAP): A model to explore the impacts of self-driving vehicles on urban mobility," Transportation Research Part B: Methodological, Elsevier, vol. 87(C), pages 64-88.
    9. David Charypar & Kai Nagel, 2005. "Generating complete all-day activity plans with genetic algorithms," Transportation, Springer, vol. 32(4), pages 369-397, July.
    10. Peng Jing & Gang Xu & Yuexia Chen & Yuji Shi & Fengping Zhan, 2020. "The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review," Sustainability, MDPI, vol. 12(5), pages 1-26, February.
    11. 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.
    12. Itf, 2015. "Urban Mobility System Upgrade: How shared self-driving cars could change city traffic," International Transport Forum Policy Papers 6, OECD Publishing.
    13. Amalia Polydoropoulou & Ioannis Tsouros & Nikolas Thomopoulos & Cristina Pronello & Arnór Elvarsson & Haraldur Sigþórsson & Nima Dadashzadeh & Kristina Stojmenova & Jaka Sodnik & Stelios Neophytou & D, 2021. "Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    14. Pettigrew, Simone & Cronin, Sophie L., 2019. "Stakeholder views on the social issues relating to the introduction of autonomous vehicles," Transport Policy, Elsevier, vol. 81(C), pages 64-67.
    15. Kröger, Lars & Kuhnimhof, Tobias & Trommer, Stefan, 2019. "Does context matter? A comparative study modelling autonomous vehicle impact on travel behaviour for Germany and the USA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 146-161.
    16. Hess, Stephane & Bierlaire, Michel & Polak, John W., 2005. "Estimation of value of travel-time savings using mixed logit models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 221-236.
    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. Sara Abdallaoui & El-Hassane Aglzim & Ahmed Chaibet & Ali Kribèche, 2022. "Thorough Review Analysis of Safe Control of Autonomous Vehicles: Path Planning and Navigation Techniques," Energies, MDPI, vol. 15(4), pages 1-19, February.
    2. Qigang Zhu & Yifan Liu & Ming Liu & Shuaishuai Zhang & Guangyang Chen & Hao Meng, 2021. "Intelligent Planning and Research on Urban Traffic Congestion," Future Internet, MDPI, vol. 13(11), pages 1-17, November.
    3. Dilshad Mohammed & Balázs Horváth, 2023. "Travel Demand Increment Due to the Use of Autonomous Vehicles," Sustainability, MDPI, vol. 15(11), pages 1-20, June.
    4. Mohammed Al-Turki & Nedal T. Ratrout & Syed Masiur Rahman & Imran Reza, 2021. "Impacts of Autonomous Vehicles on Traffic Flow Characteristics under Mixed Traffic Environment: Future Perspectives," Sustainability, MDPI, vol. 13(19), pages 1-22, October.
    5. Agnieszka Dudziak & Monika Stoma & Andrzej Kuranc & Jacek Caban, 2021. "Assessment of Social Acceptance for Autonomous Vehicles in Southeastern Poland," Energies, MDPI, vol. 14(18), pages 1-16, September.
    6. Liliana Andrei & Mihaela Hermina Negulescu & Oana Luca, 2022. "Premises for the Future Deployment of Automated and Connected Transport in Romania Considering Citizens’ Perceptions and Attitudes towards Automated Vehicles," Energies, MDPI, vol. 15(5), pages 1-23, February.
    7. Francesco Acuto & Margarida C. Coelho & Paulo Fernandes & Tullio Giuffrè & Elżbieta Macioszek & Anna Granà, 2022. "Assessing the Environmental Performances of Urban Roundabouts Using the VSP Methodology and AIMSUN," Energies, MDPI, vol. 15(4), pages 1-28, February.

    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. Hamadneh, Jamil & Duleba, Szabolcs & Esztergár-Kiss, Domokos, 2022. "Stakeholder viewpoints analysis of the autonomous vehicle industry by using multi-actors multi-criteria analysis," Transport Policy, Elsevier, vol. 126(C), pages 65-84.
    2. 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.
    3. Imhof, Sebastian & Frölicher, Jonas & von Arx, Widar, 2020. "Shared Autonomous Vehicles in rural public transportation systems," Research in Transportation Economics, Elsevier, vol. 83(C).
    4. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    5. Jiang, Like & Chen, Haibo & Chen, Zhiyang, 2022. "City readiness for connected and autonomous vehicles: A multi-stakeholder and multi-criteria analysis through analytic hierarchy process," Transport Policy, Elsevier, vol. 128(C), pages 13-24.
    6. Bridgelall, Raj & Stubbing, Edward, 2021. "Forecasting the effects of autonomous vehicles on land use," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    7. Kolarova, Viktoriya & Steck, Felix & Bahamonde-Birke, Francisco J., 2019. "Assessing the effect of autonomous driving on value of travel time savings: A comparison between current and future preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 155-169.
    8. Gurumurthy, Krishna Murthy & Kockelman, Kara M., 2021. "Impacts of shared automated vehicles on airport access and operations, with opportunities for revenue recovery: Case Study of Austin, Texas," Research in Transportation Economics, Elsevier, vol. 90(C).
    9. Liliana Andrei & Oana Luca & Florian Gaman, 2022. "Insights from User Preferences on Automated Vehicles: Influence of Socio-Demographic Factors on Value of Time in Romania Case," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    10. Shariful Malik & Mohammad Shahidul Hasan Swapan & Shahed Khan, 2020. "Sustainable Mobility through Safer Roads: Translating Road Safety Strategy into Local Context in Western Australia," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
    11. Shelly Etzioni & Jamil Hamadneh & Arnór B. Elvarsson & Domokos Esztergár-Kiss & Milena Djukanovic & Stelios N. Neophytou & Jaka Sodnik & Amalia Polydoropoulou & Ioannis Tsouros & Cristina Pronello & N, 2020. "Modeling Cross-National Differences in Automated Vehicle Acceptance," Sustainability, MDPI, vol. 12(22), pages 1-22, November.
    12. Emberger, Guenter & Pfaffenbichler, Paul, 2020. "A quantitative analysis of potential impacts of automated vehicles in Austria using a dynamic integrated land use and transport interaction model," Transport Policy, Elsevier, vol. 98(C), pages 57-67.
    13. 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.
    14. Börjesson, Maria & Eliasson, Jonas, 2014. "Experiences from the Swedish Value of Time study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 144-158.
    15. Ku, Donggyun & Na, Sungyong & Kim, Jooyoung & Lee, Seungjae, 2020. "Interpretations of Downs–Thomson paradox with median bus lane operations," Research in Transportation Economics, Elsevier, vol. 83(C).
    16. Konstanze Winter & Oded Cats & Karel Martens & Bart Arem, 2021. "Relocating shared automated vehicles under parking constraints: assessing the impact of different strategies for on-street parking," Transportation, Springer, vol. 48(4), pages 1931-1965, August.
    17. Coppola, Pierluigi & De Fabiis, Francesco & Silvestri, Fulvio, 2024. "Urban Air Mobility (UAM): Airport shuttles or city-taxis?," Transport Policy, Elsevier, vol. 150(C), pages 24-34.
    18. Becker, Henrik & Becker, Felix & Abe, Ryosuke & Bekhor, Shlomo & Belgiawan, Prawira F. & Compostella, Junia & Frazzoli, Emilio & Fulton, Lewis M. & Guggisberg Bicudo, Davi & Murthy Gurumurthy, Krishna, 2020. "Impact of vehicle automation and electric propulsion on production costs for mobility services worldwide," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 105-126.
    19. Guo, Yuntao & Souders, Dustin & Labi, Samuel & Peeta, Srinivas & Benedyk, Irina & Li, Yujie, 2021. "Paving the way for autonomous Vehicles: Understanding autonomous vehicle adoption and vehicle fuel choice under user heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 364-398.
    20. Wu, Min & Wang, Nanxi & Yuen, Kum Fai, 2023. "Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?," Technological Forecasting and Social Change, Elsevier, vol. 189(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:gam:jeners:v:14:y:2021:i:14:p:4163-:d:591780. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.