Analysis of profitability of Pay-As-You-Speed scheme

References

• Alver Y, Demirel MC, Mutlu MM. 2014. Interaction between socio-demographic characteristics: traffic rule violations and traffic crash history for young drivers. Accid Anal Prev. 72(November):95–104. doi:10.1016/J.AAP.2014.06.015.
   PubMedGoogle Scholar
• Anastasopoulos PC, Mannering FL. 2009. A Note on modeling vehicle accident frequencies with random-parameters count models. Accid Anal Prev. 41(1):153–159. doi:10.1016/J.AAP.2008.10.005.
   PubMed Web of Science ®Google Scholar
• Arumugam S, Bhargavi R. 2019. A survey on driving behavior analysis in usage based insurance using big data. J Big Data. 6(1):1–21. doi:10.1186/s40537-019-0249-5
   Google Scholar
• Desyllas P, Sako M. 2013. Profiting from business model innovation: evidence from Pay-As-You-drive auto insurance. Res Policy. 42(1):101–116. doi:10.1016/J.RESPOL.2012.05.008.
   Web of Science ®Google Scholar
• Elvik R. 2000. How much do road accidents cost the national economy? Accid Anal Prev. 32(6):849–851. doi:10.1016/S0001-4575(00)00015-4.
   PubMed Web of Science ®Google Scholar
• Elvik R. 2014. Cost–benefit analysis of incentive systems rewarding compliance with speed limits. Transp Res Rec. 2465(1):8–15. doi:10.3141/2465-02.
   Google Scholar
• Elvik R, Hoye A, Vaa T, Sorensen M. 2009. The handbook of road safety measures. UK: Emerald Group Publishing Limited. doi:10.1108/9781848552517/URN: EMERALDGROUP.COM: ASSET: ID: BINARY:9781848552517.LARGECOVER.GIF
   Google Scholar
• Famoye F, Jr.Wulu JT, Singh KP. 2021. On the generalized Poisson regression model with an application to accident data. J Data Sci. 2(3):287–295. doi:10.6339/JDS.2004.02(3).167.
   Google Scholar
• Fleishman AI. 1978. A method for simulating non-normal distributions. Psychometrika. 43(4):521–532. doi:10.1007/BF02293811.
   Web of Science ®Google Scholar
• Hamdan N, Daud N. 2015. Estimating cost ratio distribution between fatal and non-fatal road accidents in Malaysia. AIP Conf Proc. 1605(1):1051–1055. doi:10.1063/1.4887736.
   Google Scholar
• Hofmann A. 2007. Internalizing externalities of loss prevention through insurance monopoly: an analysis of interdependent risks. Geneva Risk Insur Rev. 32(1):91–111. doi:10.1007/S10713-007-0004-2.
   Web of Science ®Google Scholar
• ITF. 2021. Road safety annual report: the impact of COVID-19. Paris.
   Google Scholar
• Lahrmann H, Agerholm N, Tradisauskas N, Næss T, Juhl J, Harms L. 2012. Pay as You Speed, ISA with incentives for not speeding: a case of test driver recruitment. Accid Anal Prev. 48(September):10–16. doi:10.1016/J.AAP.2011.03.014.
   PubMedGoogle Scholar
• Lord D, Mannering F. 2010. The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives. Transp Res Part A: Policy Pract. 44(5):291–305. doi:10.1016/J.TRA.2010.02.001.
   Web of Science ®Google Scholar
• Mahmoudvand R, Edalati A, Shokoohi F. 2021. Bonus-Malus system in Iran: an empirical evaluation. J Data Sci. 11(1):29–41. doi:10.6339/JDS.2013.11(1).1098.
   Google Scholar
• Mofadal AIA, Kanitpong K, Mofadal AIA, Kanitpong K. 2016. Analysis of road traffic accident costs in Sudan using the human capital method. OJCE. 06(02):203–216. doi:10.4236/OJCE.2016.62019.
   Google Scholar
• Nai W, Yang Z, Wei Y, Sang J, Wang J, Wang Z, Mo P. 2022. A comprehensive review of driving style evaluation approaches and product designs applied to vehicle usage-based insurance. Sustain. 14(13):7705. doi:10.3390/SU14137705.
   Web of Science ®Google Scholar
• Nishida Y. 2009. Integrated traffic accident database for accident analysis considering driver-accident and violation records. Tokyo, Japan.
   Google Scholar
• Rodrigues DS, Ribeiro PJG, da Silva Nogueira IC. 2015. Safety classification using GIS in decision-making process to define priority road interventions. J Transp Geo. 43(February):101–110. doi:10.1016/J.JTRANGEO.2015.01.007.
   Google Scholar
• Sahebi S, Nassiri H, van Wee B, Araghi Y. 2019a. Incorporating car owner preferences for the introduction of economic incentives for speed limit enforcement. Transp Res Part F: Traffic Psychol Behav. 64(July):509–521. doi:10.1016/J.TRF.2019.05.014.
   Google Scholar
• Sahebi S, Nassiri H, de Winter JC. 2019b. Correlates of self-reported driving aberrations in Tehran: A study at the level of drivers and districts. Transp Res Part F: Traffic Psychol Behav. 63(May):309–322. doi:10.1016/J.TRF.2019.01.001.
   Google Scholar
• Stigson H, Hagberg J, Kullgren A, Krafft M. 2014. A one year Pay-as-You-Speed trial with economic incentives for not speeding. Traffic Inj Prev. 15(6):612–618. doi:10.1080/15389588.2013.850678.
   PubMed Web of Science ®Google Scholar
• Train KE. 2009. Discrete choice methods with simulation. 2nd ed. Cambridge: Cambridge University Press. doi:10.1017/CBO9780511805271.
   Google Scholar
• Tselentis DI, Theofilatos A, Yannis G, Konstantinopoulos M. 2018. Public opinion on usage-based motor insurance schemes: a stated preference approach. Travel Behav Soc. 11(April):111–118. doi:10.1016/J.TBS.2018.02.003.
   Google Scholar
• Tselentis DI, Yannis G, Vlahogianni EI. 2017. Innovative motor insurance schemes: a review of current practices and emerging challenges. Accid Anal Prev. 98(January):139–148. doi:10.1016/J.AAP.2016.10.006.
   PubMedGoogle Scholar
• Vale CD, Maurelli VA. 1983. Simulating multivariate nonnormal distributions. Psychometrika. 48(3):465–471. doi:10.1007/BF02293687.
   Web of Science ®Google Scholar
• Wang C, Liu J, Li H, Nai W, Zheng W. 2020. Driving risk evaluation applied to premium actuary for Pay-How-You-Drive vehicle insurance based on fuzzy multi criteria decision-making. Paper presented at: Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS 2020-October: 457–62. doi:10.1109/ICSESS49938.2020.9237652.
   Google Scholar
• Washington S, Mazharul Haque M, Oh J, Lee D. 2014. Applying quantile regression for modeling equivalent property damage only crashes to identify accident blackspots. Accid Anal Prev. 66(May):136–146. doi:10.1016/J.AAP.2014.01.007.
   PubMedGoogle Scholar
• Wędrowska E, Muszyńska J. 2022. Role of age and education as the determinant of income inequality in Poland: decomposition of the mean logarithmic deviation. Entropy. 24(6):773. doi:10.3390/E24060773.
   PubMed Web of Science ®Google Scholar
• WHO. 2018. Global status report on road safety. Geneva: World Health Organization. http://apps.who.int/bookorders.
   Google Scholar
• WHO. 2020. “Road Traffic Injuries”. https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries.
   Google Scholar
• WHO. 2021. Global plan: decade of action for road safety.” Geneva: World Health Organization.
   Google Scholar
• Yusgiantoro I, Kramawiredja D, Heru Dinata T, Purwono Y, Husodo Z, Luxianto R. 2019. “Simulation of Automobile Insurance Market in the Presence of Premium Regulation.” Ojk.Go.Id. https://ojk.go.id/id/data-dan-statistik/research/working-paper/Documents/OJK_WP.19.08.pdf.
   Google Scholar