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Potential autonomous vehicle ownership growth in Hungary using the Gompertz model


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Alatawneh, A., Shatanawi, M., Mészáros, F., 2023. Analysis of the Emergence of Autonomous Vehicles Using Simulation-based Dynamic Traffic Assignment – The Case of Budapest. Periodica Polytechnica Transportation Engineering. 51(2), 126–132, DOI: 10.3311/PPtr.20655 Open DOISearch in Google Scholar

Dargay, J., Gately, D., Sommer, M., 2007a. Vehicle Ownership and Income Growth, worldwide: 1960-2030. The Energy Journal, 28(4), DOI: 10.5547/ISSN0195-6574-EJ-Vol28-No4-7 Open DOISearch in Google Scholar

Eurostat., 2022. https://ec.europa.eu/eurostat Search in Google Scholar

Fagnant, D.J., Kockelman, K., 2015. Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice. 77, 167–181. DOI: https://doi.org/gc4n5r Search in Google Scholar

HCSO., 2021. Regional Statistical Yearbook of Hungary. Hungarian Central Statistical Office. HCSO, https://www.ksh.hu/?lang=en Search in Google Scholar

IHS Automotive., 2014. Emerging Technologies: Autonomous Cars- Not if, but when. https://news.ihsmarkit.com/INFO Search in Google Scholar

Kutasi, G., 2022. How Does Economics Approach Nature? Cognitive Sustainability, 1(2), DOI: https://doi.org/jqq3 Search in Google Scholar

Li, X., Wang, E., Zhang, C., 2014. Prediction of electric vehicle ownership based on Gompertz model. 2014 IEEE International Conference on Information and Automation, (ICIA), 87–91. DOI: https://doi.org/jqq4 Search in Google Scholar

Litman, T., 2022. Autonomous Vehicle Implementation Predictions. Implications for Transport Planning. Victoria Transport Policy Institute, 48. https://www.vtpi.org/avip.pdf Search in Google Scholar

Majerova, J., 2022. Cognitive rationality and sustainable decision based on Maslow’s theorem: A case study in Slovakia. Cognitive Sustainability, 1(1), DOI: https://doi.org/jf2k Search in Google Scholar

Matalqah, I., Shatanawi, M., Alatawneh, A., Mészáros, F., 2022. Impact of Different Penetration Rates of Shared Autonomous Vehicles on Traffic: Case Study of Budapest. Transportation Research Record, 03611981221095526. DOI: https://doi.org/jqq5 Search in Google Scholar

Nadafianshahamabadi, R., Tayarani, M., Rowangould, G., 2021. A closer look at urban development under the emergence of autonomous vehicles: Traffic, land use and air quality impacts. Journal of Transport Geography, 94, 103113. DOI: https://doi.org/gkd5pt Search in Google Scholar

Rota, M.F., Carcedo, J.M., García, J.P., 2016. Dual approach for modelling demand saturation levels in the automobile market. The Gompertz curve: Macro versus micro data. Investigación Económica, 75(296), 43–72. DOI: https://doi.org/jqq6 Search in Google Scholar

SAE., 2022. SAE Levels of Driving AutomationTM Refined for Clarity and International Audience. https://www.sae.org/site/blog/sae-j3016-update Search in Google Scholar

Shatanawi, M., Alatawneh, A., Mészáros, F., 2022. 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, 95, 101231. DOI: https://doi.org/jqq7 Search in Google Scholar

Shatanawi, M., Mészáros, F., 2022. Implications of the Emergence of Autonomous Vehicles and Shared Autonomous Vehicles: A Budapest Perspective. Sustainability, 14(17), Article 17. DOI: https://doi.org/jqq8 Search in Google Scholar

Silva, D., Földes, D., Csiszár, C., 2021. Autonomous Vehicle Use and Urban Space Transformation: A Scenario Building and Analysing Method. Sustainability, 13(6), 3008. DOI: https://doi.org/jqq9 Search in Google Scholar

Talebian, A., Mishra, S., 2018. Predicting the adoption of connected autonomous vehicles: A new approach based on the theory of diffusion of innovations. Transportation Research Part C: Emerging Technologies, 95, 363–380. DOI: https://doi.org/gfg6tw Search in Google Scholar

Talebpour, A., Mahmassani, H. S., 2016. Influence of connected and autonomous vehicles on traffic flow stability and throughput. Transportation Research Part C: Emerging Technologies, 71, 143–163. DOI: https://doi.org/f87kqp Search in Google Scholar

VOSviewer., 2022. VOSviewer—Visualizing scientific landscapes. https://www.vosviewer.com// Search in Google Scholar

Wang, J., Sun, X., He, Y., Hou, S., 2012. Modeling Motorization Development in China. Journal of Transportation Technologies, 02(03), 267–276. DOI: https://doi.org/jqrb Search in Google Scholar

World Bank., 2022. World Economic Outlook Databases. https://www.imf.org/en/Publications/SPROLLs/world-economic-outlook-databases Search in Google Scholar