References
[1] Fagnant DJ, Kockelman K. Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice. 2015;77:167-181. DOI: 10.1016/j.tra.2015.04.003.
[1] Fagnant DJ, Kockelman K. Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice. 2015;77:167-181. DOI: 10.1016/j.tra.2015.04.003.
[2] Talebpour A, Mahmassani HS. Influence of connected and autonomous vehicles on traffic flow stability and throughput. Transportation Research Part C: Emerging Technologies. 2016;71:143-163. DOI: 10.1016/j.trc.2016.07.007.
[3] SAE. SAE levels of driving automationTM refined for clarity and international audience. https://www.sae.org/site/blog/sae-j3016-update [Accessed 12th Apr. 2022].
[4] Alatawneh A, Shatanawi M, Mészáros F. Analysis of the emergence of autonomous vehicles using simulation-based dynamic traffic assignment – The case of Budapest. Periodica Polytechnica Transportation Engineering. 2023;51(2):126-132. DOI: 10.3311/PPtr.20655.
[5] Nadafianshahamabadi R, Tayarani M, Rowangould G. A closer look at urban development under the emergence of autonomous vehicles: Traffic, land use and air quality impacts. Journal of Transport Geography. 2021;94(C):103-113. DOI: 10.1016/j.jtrangeo.2021.103113.
[6] Shatanawi M, Ghadi M, Mészáros F. Road pricing adaptation to era of autonomous and shared autonomous vehicles: Perspective of Brazil, Jordan, and Azerbaijan. Transportation Research Procedia. 2021;55:291-298. DOI: 10.1016/j.trpro.2021.06.033.
[7] Torok A, Pauer G. Safety aspects of critical scenario identification for autonomous transport. Cognitive Sustainability. 2022;1(3). DOI: 10.55343/cogsust.23.
[8] Krizsik N, Sipos T. Social perception of autonomous vehicles. Periodica Polytechnica Transportation Engineering. 2023;51(2):133-139. DOI: 10.3311/PPtr.20228.
[9] Litman T. Autonomous vehicle implementation predictions. implications for transport planning. https://www.vtpi.org/avip.pdf [Accessed 6th Mar. 2022].
[10] Matalqah I, Shatanawi M, Alatawneh A, Mészáros F. Impact of different penetration rates of shared autonomous vehicles on traffic: Case study of Budapest. Transportation Research Record. 2022;2676(12):396-408. DOI: 10.1177/03611981221095526.
[11] Shatanawi M, Alatawneh A, Mészáros F. Implications of static and dynamic road pricing strategies in the era of autonomous and shared autonomous vehicles using simulation-based dynamic traffic assignment: The case of Budapest. Research in Transportation Economics. 2022;95:101231. DOI: 10.1016/j.retrec.2022.101231.
[12] Shatanawi M, Mészáros F. Implications of the emergence of autonomous vehicles and shared autonomous vehicles: A Budapest perspective. Sustainability. 2022;14(17):10952. DOI: 10.3390/su141710952.
[13] Hamadneh J, Esztergar-Kiss D. Evaluation of the impacts of autonomous vehicles on the mobility of user groups by using agent-based simulation. Transport. 2022;37(1):1-16. DOI: 10.3846/transport.2022.16322.
[14] Gocke M. Various concepts of hysteresis applied in economics. J Economic Surveys. 2002;16(2):167-188. DOI: 10.1111/1467-6419.00163.
[15] Kutasi G, Érfalvy Á, Torda S, Golenyák V. The economic effects of climate change on Budapest. Cognitive Sustainability. 2023;2(1). DOI: 10.55343/cogsust.34.
[16] Dargay JM. The effect of income on car ownership: Evidence of asymmetry. Transportation Research Part A. 2001;35(9):807-821. DOI: 10.1016/S0965-8564(00)00018-5.
[17] Eurostat - The statistical office of the European Union. Passenger cars per 1000 inhabitants. https://ec.europa.eu/eurostat [Accessed 12th Apr. 2022].
[18] HCSO - Hungarian Central Statistical Office. Regional statistical yearbook of Hungary. https://www.ksh.hu/?lang=en [Accessed 12th Apr. 2022].
[19] International Monetary Fund. World economic outlook databases. https://www.imf.org/en/Publications/SPROLLs/world-economic-outlook-databases [Accessed 12th Apr. 2022].
[20] Pendyala RM, Kostyniuk LP, Goulias KG. A repeated cross-sectional evaluation of car ownership. Transportation. 1995;22(2):165-184. DOI: 10.1007/BF01099438.
[21] Trommer S, Kröger L, Kuhnimhof T. Potential fleet size of private autonomous vehicles in Germany and the US. In: Meyer G, Beiker S, eds. Road Vehicle Automation 4. Lecture Notes in Mobility. Springer International Publishing; 2018. p. 247-256. DOI: 10.1007/978-3-319-60934-8_20.
[22] Talebian A, Mishra S. Predicting the adoption of connected autonomous vehicles: A new approach based on the theory of diffusion of innovations. Transportation Research Part C: Emerging Technologies. 2018;95:363-380. DOI: 10.1016/j.trc.2018.06.005.
[23] Chen Z, He F, Zhang L, Yin Y. Optimal deployment of autonomous vehicle lanes with endogenous market penetration. Transportation Research Part C: Emerging Technologies. 2016;72:143-156. DOI: 10.1016/j.trc.2016.09.013.
[24] Noruzoliaee M, Zou B, Liu Y. Roads in transition: Integrated modeling of a manufacturer-traveler-infrastructure system in a mixed autonomous/human driving environment. Transportation Research Part C: Emerging Technologies. 2018;90:307-333. DOI: 10.1016/j.trc.2018.03.014.
[25] Bansal P, Kockelman KM. Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies. Transportation Research Part A: Policy and Practice. 2017;95:49-63. DOI: 10.1016/j.tra.2016.10.013.
[26] El Zarwi F, Vij A, Walker JL. A discrete choice framework for modeling and forecasting the adoption and diffusion of new transportation services. Transportation Research Part C: Emerging Technologies. 2017;79:207-223. DOI: 10.1016/j.trc.2017.03.004.
[27] Shatanawi M, Hajouj M, Edries B, Mészáros F. The interrelationship between road pricing acceptability and self-driving vehicle adoption: Insights from four countries. Sustainability. 2022;14(19):12798. DOI: 10.3390/su141912798.
[28] Lavasani M, Jin X, Du Y. Market penetration model for autonomous vehicles on the basis of earlier technology adoption experience. Transportation Research Record. 2016;2597(1):67-74. DOI: 10.3141/2597-09.
[29] VOSviewer - Visualizing scientific landscapes. https://www.vosviewer.com// [Accessed 26th Oct. 2022].
[30] Eck LW, Waltman L. VOSviewer Manual. https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.18.pdf [Accessed 26th Oct. 2022].
[31] Cross R, ed. Unemployment, hysteresis, and the natural rate hypothesis. Blackwell; 1988.
[32] Li X, Wang E, Zhang C. Prediction of electric vehicle ownership based on Gompertz model. 2014 IEEE International Conference on Information and Automation (ICIA). IEEE; 2014. p. 87-91. DOI: 10.1109/ICInfA.2014.6932631.
[33] Alatawneh A, Torok A. Potential autonomous vehicle ownership growth in Hungary using the Gompertz model. Production Engineering Archives. 2023;29(2):155-161. DOI: 10.30657/pea.2023.29.18.
[34] Dargay J, Gately D, Sommer M. Vehicle ownership and income growth, worldwide: 1960-2030. EJ. 2007;28(4). DOI: 10.5547/ISSN0195-6574-EJ-Vol28-No4-7.
[35] Wang J, Sun X, He Y, Hou S. Modeling motorization development in China. JTTs. 2012;02(03):267-276. DOI: 10.4236/jtts.2012.23029.
[36] Rota MF, Carcedo JM, García JP. Dual approach for modelling demand saturation levels in the automobile market. The Gompertz curve: Macro versus micro data. Investigación Económica. 2016;75(296):43-72. DOI: 10.1016/j.inveco.2016.07.003.
[37] Silva D, Földes D, Csiszár C. Autonomous vehicle use and urban space transformation: A scenario building and analysing method. Sustainability. 2021;13(6):3008. DOI: 10.3390/su13063008.
[38] Voulgaris CT. Crystal balls and black boxes: What makes a good forecast? Journal of Planning Literature. 2019;34(3):286-299. DOI: 10.1177/0885412219838495.
[39] Chicco D, Warrens MJ, Jurman G. The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation. PeerJ Computer Science. 2021;7:e623. DOI: 10.7717/peerj-cs.623.