Affiliation:
1. General Jonas Žemaitis Mitlitary Academy of Lithuania, Vilnius, Lithuania
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.
Publisher
Vilnius Gediminas Technical University
Subject
Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Economics, Econometrics and Finance (miscellaneous),Development,Business and International Management
Reference28 articles.
1. Balabonienė, I., Bliekienė, R. ir Stundžienė, A. (2014). Ekonometrija: praktinis regresijos ir laiko eilučių modelio taikymas. Technologija. https://doi.org/10.5755/e01.9786090210185
2. 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.
3. Bogdevičius, M. (2012). Transporto priemonių dinamika. VGTU leidykla "Technika". https://doi.org/10.3846/1393-S
4. 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
5. Čekanavičius, V. ir Murauskas, G. (2014). Taikomoji regresinė analizė socialiniuose tyrimuose. Vilniaus universiteto leidykla.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献