Study of the influence of sustainable transport on traffic incidents
Abstract
Purpose – to determine whether changes in sustainable transport influence the difference in the number of road accidents.
Research methodology – synthesis and comparative scientific analysis of concepts and methods published in the literature, secondary data analysis, statistical processing, correlation-regression analysis, ARIMA method.
Findings – the number of traffic accidents will increase in the coming years. According to the result of the correlation regression analysis, the number of traffic accidents is influenced by the reduced level of work capacity, people and the average traffic intensity, car/day; the change in the number of electric cars was not identified as an influencing factor.
Research limitations – lack of data (incomplete statistics on sustainable vehicles) or difficult access to them.
Practical implications – the results can be used in preparing strategic city plans to predict the consequences of sustainable transport regarding traffic accidents.
Originality/Value – the article covers the development and changes in road traffic accidents in the big cities of Lithuania and predicts the possible reasons for this.
Keyword : sustainable transport, road traffic incidents, correlational regression analysis
How to Cite
Činčikaitė, R., & Meidutė-Kavaliauskienė, I. (2023). Study of the influence of sustainable transport on traffic incidents. Business, Management and Economics Engineering, 21(2), 237–247. https://doi.org/10.3846/bmee.2023.19678
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Bareikis, M. ir Vasiliauskas, G. (2016). Pavienių sunkiasvorio transporto priemonių keliamo žemo dažnio triukšmo jų įsibėgėjimo metu tyrimas. Žmogaus ir gamtos sauga, 20, 21–24.
Bogdevičius, M. (2012). Transporto priemonių dinamika. VGTU leidykla „Technika“. https://doi.org/10.3846/1393-S
Bucsuházy, K., Matuchová, E., Zůvala, R., Moravcová, P., Kostíková, M., & Mikulec, R. (2020). Human factors contributing to the road traffic accident occurrence. Transportation Research Procedia, 45, 555–561. https://doi.org/10.1016/j.trpro.2020.03.057
Čekanavičius, V. ir Murauskas, G. (2014). Taikomoji regresinė analizė socialiniuose tyrimuose. Vilniaus universiteto leidykla.
Danilevičius, A. (2020). Diskretinis kelių transporto priemonių srauto tyrimo metodas momentiniam triukšmo lygiui gatvėse nustatyti. VGTU leidykla „Technika“. https://doi.org/10.20334/2020-011-M
Deme, D. (2019). Review on factors causes road traffic accident in Africa. Journal of Civil Engineering Research & Technology, 1(1), 1–8. https://doi.org/10.47363/JCERT/2019(1)101
Goniewicz, K., Goniewicz, M., Pawłowski, W., & Fiedor, P. (2016). Road accident rates: Strategies and programmes for improving road traffic safety. European Journal of Trauma and Emergency Surgery, 42(4), 433–438. https://doi.org/10.1007/s00068-015-0544-6
Juodvalkis, D. ir Dargužis, A. (2021). Lengvojo automobilio su dyzeliniu varikliu pritaikymas dujiniams degalams. Inžinerinės ir edukacinės technologijos. Mokslinių straipsnių žurnalas, (1), 75–79.
Karkee, R., & Lee, A. H. (2016). Epidemiology of road traffic injuries in Nepal, 2001–2013: Systematic review and secondary data analysis. BMJ Open, 6(4), e010757. https://doi.org/10.1136/bmjopen-2015-010757
Khan, S. A. R., Yu, Z., Belhadi, A., & Mardani, A. (2020). Investigating the effects of renewable energy on international trade and environmental quality. Journal of Environmental Management, 272, 111089. https://doi.org/10.1016/j.jenvman.2020.111089
Lithuanian Department of Statistics. (n.d.). stat.gov.lt
Mansurovna, M. L., & Eshquvvatovich, I. S. (2021). Study of the influence of operating factors of a vehicle on accident by the method of expert evaluation. The Journal of Academic Research and Trends in Educational Sciences (JARTES), 1(1).
Markšaitytė, R., Endriulaitienė, A., Šeibokaitė, L., Žardeckaitė-Matulaitienė, A. & Slavinskienė, J. (2017, September 20–22). The change of driving self-efficacy during and after driving training: relations to driving behaviour. In Transport Means – 2017: Proceedings of the 21th International Scientific Conference, Part 2. (Vol. 21(2), pp. 510–513). Kaunas University of Technology.
Michalaki, P., Quddus, M. A., Pitfield, D., & Huetson, A. (2015). Exploring the factors affecting motorway accident severity in England using the generalised ordered logistic regression model. Journal of Safety Research, 55, 89–97. https://doi.org/10.1016/j.jsr.2015.09.004
Micheale, K. G. (2017). Road traffic accident: Human security perspective. International Journal of Peace and Development Studies, 8(2), 15–24. https://doi.org/10.5897/IJPDS2016.0289
Mohtasham-Amiri, Z. (2016). Comparison of revised trauma score, injury severity score and trauma and injury severity score for mortality prediction in elderly traumatic patients. Turkish Journal of Trauma and Emergency Surgery, 22(6), 536–540. https://doi.org/10.5505/tjtes.2016.93288
Pabedinskaitė, A. ir Činčikaitė, R. (2016). Kiekybiniai modeliavimo metodai. Vilniaus Gedimino technikos universitetas. https://doi.org/10.20334/1563-S
Pečiukėnas, A., Pečeliūnas, R. ir Nagurnas, S. (2017). Intelektinių transporto sistemų įtaka kelių transporto priemonių srautų reguliavimui. Inžinerinės ir edukacinės technologijos – Engineering and Educational Technologies, 1, 33–38.
Potoglou, D., Whitmarsh, L., Whittle, C., Tsouros, I., Haggar, P., & Persson, T. (2020). To what extent do people value sustainable-resourced materials? A choice experiment with cars and mobile phones across six countries. Journal of Cleaner Production, 246, Article 118957. https://doi.org/10.1016/j.jclepro.2019.118957
Rolison, J. J., Regev, S., Moutari, S., & Feeney, A. (2018). What are the factors that contribute to road accidents? An assessment of law enforcement views, ordinary drivers’ opinions, and road accident records. Accident Analysis & Prevention, 115, 11–24. https://doi.org/10.1016/j.aap.2018.02.025
Shaik, M. E., & Hossain, Q. S. (2020). Application of statistical models: Parameters estimation of road accident in Bangladesh. SN Computer Science, 1, Article 261. https://doi.org/10.1007/s42979-020-00284-y
Solanki L., M. H. (2016). An epidemiological study of road traffic accident cases at a tertiary care hospital in udaipur. International Journal of Current Research and Review, 8(7), 32–37.
Utanaka, A., & Widyastuti, H. (2019). Traffic accident cost analysis using willingness-to-pay method in Surabaya. In Proceedings of the 11th Asia Pacific Transportation and the Environment Conference (APTE 2018). Atlantis Press. https://doi.org/10.2991/apte-18.2019.19
Vilniaus miesto savivaldybė. (2016). Vilniaus miesto savivaldybės teritorijos bendrojo plano keitimas. http://www.riedu.lt/Vilnius/BP_esama_bukle_8_Susisiekimo_sistema.pdf
Vitkūnas, R., Činčikaitė, R., & Meidute-Kavaliauskiene, I. (2021). Assessment of the Impact of Road Transport Change on the Security of the Urban Social Environment. Sustainability, 13(22), Article 12630. https://doi.org/10.3390/su132212630
Zaranka, J. (2012). Kelių transporto priemonių vairuotojų elgsenos veiksnių įtakos eismo saugai tyrimas. VGTU leidykla „Technika“. https://doi.org/10.20334/2097-M
Zigmantavičiūtė, E., & Miečinskienė, A. (2015). Lietuvos tiesioginių investicijų Europos Sąjungos šalyse analizė. Mokslas – Lietuvos ateitis / Science – Future of Lithuania, 7(2), 172–178. https://doi.org/10.3846/mla.2015.741