An attempt to determine the impact of the implementation of autonomous vehicles on a larger scale on the planning of city transport systems

• Autorzy: Razavi Nikoo , Sierpinski Grzegorz

Identyfikatory

DOI

10.14254/jsdtl.2024.9-1.8

• Języki publikacji: EN

Abstrakty

EN

Purpose: This paper aims to explore the potential impact of autonomous vehicles (AVs) on urban planning, sustainable urban development, and tourism. Methodology: The paper is a conceptual study that reviews and synthesizes existing literature on AVs, urban planning, and tourism. It also uses case studies to illustrate the potential effects of AVs. Results: The widespread adoption of AVs is likely to have significant implications for urban planning, including changes in land use, infrastructure design, and transportation patterns. AVs may also contribute to sustainable urban development by reducing traffic congestion and air pollution. In the tourism sector, AVs could lead to spatial changes, new social inequalities, and changes in the overnight visitor economy. Theoretical contribution: The paper contributes to the understanding of the complex interplay between AVs, urban planning, and tourism. It highlights the need for urban planners and tourism stakeholders to consider the potential impact of AVs in their decision-making processes. Practical implications: The paper provides practical insights for urban planners, tourism stakeholders, and policymakers on how to prepare for and adapt to the widespread use of AVs. It also emphasizes the importance of considering the potential benefits and challenges of AVs in the context of specific cities and tourism destinations.

Słowa kluczowe

EN

autonomous vehicles; urban security; urban planning; sustainable urban development; urban environment; highway environment

• Wydawca: Fundacja Centrum Badań Socjologicznych ; Scientific Publishing House "SciView"
• Czasopismo: Journal of Sustainable Development of Transport and Logistics
• Rocznik: 2024
• Tom: Vol. 9, No. 1
• Strony: 96--120
• Opis fizyczny: Bibliogr. 31 poz., rys., tab.

Twórcy

autor

Razavi Nikoo

• Tampere University, Kalevantie 4, 33100 Tampere, Finland

• https://orcid.org/0000-0002-6639-1126

autor

Sierpinski Grzegorz

• Department of Transport Systems, Traffic Engineering and Logistics, Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, Poland

• https://orcid.org/0000-0002-0146-3264

Bibliografia

• Almasinejad, P., Zahabi, M., & Nakhaie, R. (2014). Investigating and presenting safety solutions in Bluetooth-oriented wireless networks. 1st National Congress of Electrical and Computer Engineering in the North of the Country.
• Asayesh, Sh., & Hemmati, Q. (2018). Reviewing and evaluating the performance of autonomous cars and their role in the intelligent transportation system. The 6th National Congress of Civil Engineering, Architecture and Urban Development.
• Bertoncello, M., & Wee, D. (2015). Ten ways autonomous driving could redefine the automotive world. McKinsey & Company.
• Cavoli, C., Phillips, B., Cohen, T., & Jones, P. (2017). Social and behavioural questions associated with automated vehicles: A literature review. UCL Transport Institute. Retrieved from https://www.ucl.ac.uk/transport-institute/pdfs/social-and-behavioural-literature-review.pdf
• Chris, G. (2016). Are American cities ready for self-driving cars? Retrieved from https://www.trafficsafetystore.com/blog/self-driving-cars-impact-urban-planning/
• Cohen, S. A., & Hopkins, D. (2019). Autonomous vehicles and the future of urban tourism. Annals of Tourism Research, 74, 33-42. https://doi.org/10.1016/j.annals.2018.10.009
• Faid, J., Krahn, H., & Krogman, N. (2021). Are big city urban planners preparing for autonomous vehicles? Canadian Journal of Urban Research, 30, 16-27.
• Farzin, I., Abbasi, M. H., & Mamdouhi, A. R. (2019). Recognition of effective demographic variables in the tendency to buy and use the self-driving car. Quarterly Journal of Traffic Management Studies, 55, 61-89.
• Farzin, I., Mamdouhi, A. R., & Nouri, F. (2021). Difference between people accepting self-driving cars by using the Unified Theory of Acceptance and the Use of the Technology. Sharif Civil Engineering, 2(1), 81-91.
• Földes, D., & Csiszár, C. (2018). Framework for planning the mobility service based on autonomous vehicles. In 2018 Smart City Symposium Prague (SCSP). IEEE. https://doi.org/10.1109/SCSP.2018.8402651
• Gavanas, N. (2019). Autonomous road vehicles: Challenges for urban planning in European cities. Urban Science, 2(3), 61. https://doi.org/10.3390/urbansci3020061
• J.D. Power. (2012). 2012 U.S. automotive emerging technologies study results. Retrieved from http://autos.jdpower.com/content/pressrelea/gGOwCnW/2012usautomotive-emerging-technologies-study.htm
• J.D. Power. (2013). 2013 U.S. automotive emerging technologies study results. Retrieved from http://autos.jdpower.com/content/study-auto/f85EfAp/2013-usautomotive-emerging-technologies-study-results.htm
• Kala, R., & Warwick, K. (2015). Reactive planning of autonomous vehicles for traffic scenarios. Electronics, 4(4), 739-762. https://doi.org/10.3390/electronics4040739
• Kapser, S., & Abdelrahman, M. (2020). Acceptance of autonomous delivery vehicles for last-mile delivery in Germany: Extending UTAUT2 with risk perceptions. Transportation Research Part C: Emerging Technologies, 111, 210-225. https://doi.org/10.1016/j.trc.2019.12.016
• Khazaie, Z. (2022). Seven sight challenges in self-driving cars. National Conference at Arak University of Iran.
• Khodabin, M., Moosavi, S. A., Zaghari, N., & Eftekhari, H. (2019). Investigating the performance of self-driving cars. The 2nd Conference of Practical Research in Electric, Computer, and Biomedical Engineering.
• Litman, T. (2017). Autonomous vehicle implementation predictions. Victoria Transport Policy Institute. Victoria, BC, Canada.
• Lu, Q., Tettamanti, T., & Varga, I. (2018). Impacts of autonomous vehicles on the urban fundamental diagram. https://doi.org/10.5592/CO/CETRA.2018.714
• Najjaran, S., Rahmani, Z., & Hassanzadeh, M. (2017). Energy management in order to reduce fuel consumption for parallel Plug-in Hybrid Electric vehicles based on fuzzy predictive control. Modares Mechanical Engineering, 17(5), 353-362.
• Ozimek, A. (2014). The massive economic benefits of self-driving cars. Forbes. Retrieved from https://www.forbes.com/sites/adamozimek/2014/04/17/the-massive-economic-benefits-of-self-driving-cars/
• Pérez, J., Milanés, V., & Penas, M. S. (2013). Control agents for autonomous vehicles in urban and highways scenarios. IFAC Proceedings Volumes, 10(46), 120-125. https://doi.org/10.3182/20130626-3-AU-2035.00023
• Pourseif, T., & Shirkani, G. (2020). Investigating the performance of the system of self-driving cars. Third International Conference of Mechanic, Electrical and Computer Engineering.
• Rostami, H., Ataiean, H. R., & Sharifpour, M. (2011). System of the smart vehicle connection and its perspectives. 11th International Conference of Transportation and Traffic of Iran.
• Schwarting, W., Alonso-Mora, J., & Rus, D. (2018). Planning and decision-making for autonomous vehicles. Annual Review of Control, Robotics, and Autonomous Systems, 1, 187-210. https://doi.org/10.1146/annurev-control-060117-105157
• Sivak, M., & Schoettle, B. (2015). Road safety with self-driving vehicles: General limitations and road sharing with conventional vehicles.
• Sommer, K. (2013). Continental mobility study 2011. Continental AG, 19-22.
• Sudhakar, S., Sze, V., & Karaman, S. (2023). Data centers on wheels: Emissions from computing onboard autonomous vehicles. IEEE Micro, 43(1), 29-39. https://doi.org/10.1109/MM.2022.3219803
• Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960-967. https://doi.org/10.1016/j.promfg.2018.03.137
• Wilson, B., Hoffman, J., & Morgenstern, J. (2019). Predictive inequity in object detection. Retrieved from https://arxiv.org/abs/1902.11097v1
• Youngs, J. (2016). US automotive emerging technologies study results. Retrieved March 11, 2016.