Prediction of Vehicle Ownership Growth Using Gompertz Model, Case Study of Hungary

Dargay, J., Gately, D., Sommer, M., 2007. Vehicle ownership and income growth, worldwide: 1960-2030. The energy journal, 28(4). DOI: 10.5547/ISSN0195-6574-EJ-Vol28-No4-7.10.5547/ISSN0195-6574-EJ-Vol28-No4-7 Search in Google Scholar

Eurostat, 2022. URL: https://ec.europa.eu/eurostat (accessed Apr. 12, 2022). 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: 10.1016/j.tra.2015.04.003.10.1016/j.tra.2015.04.003 Search in Google Scholar

Felis Rota, M., Moral Carcedo, J., Pérez García, J, 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: 10.1016/j.inveco.2016.07.003.10.1016/j.inveco.2016.07.003 Search in Google Scholar

Hungarian Central Statistical Office, 2022. URL: https://www.ksh.hu/?lang=en (accessed Apr. 12, 2022). Search in Google Scholar

Li, X., Wang, E., Zhang, C., 2014. Prediction of electric vehicle ownership based on Gompertz model. In 2014 IEEE International Conference on Information and Automation (ICIA) (pp. 87-91). IEEE. DOI: 10.1109/ICInfA.2014.6932631.10.1109/ICInfA.2014.6932631 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: 10.1016/j.jtrangeo.2021.103113.10.1016/j.jtrangeo.2021.103113 Search in Google Scholar

SAE Levels of Driving AutomationTM Refined for Clarity and International Audience’, 2022. https://www.sae.org/site/blog/sae-j3016-update (accessed Apr. 12, 2022). 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: 10.1016/j.trc.2018.06.005.10.1016/j.trc.2018.06.005 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: 10.1016/j.trc.2016.07.007.10.1016/j.trc.2016.07.007 Search in Google Scholar

Wang, J., Sun, X., He, Y., Hou, S., 2012. Modeling motorization development in China. Journal of Transportation Technologies, 2(03), 267. DOI: 10.4236/jtts.2012.23029.10.4236/jtts.2012.23029 Search in Google Scholar

World Economic Outlook, 2022. Databases - IMF, URL: https://www.imf.org/en/Publications/SPROLLs/world-economic-outlook-databases (accessed Apr. 12, 2022). Search in Google Scholar