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The impact of demographic factors on the traffic accident rate in Czech Republic

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Języki publikacji
EN
Abstrakty
EN
Demographic factors, such as age and gender, significantly influence the causes of traffic accidents, which is essential for providing effective road prevention and safety. The work aims to assess the dependency of the demographic factor of age on the causes of traffic accidents and the dependency of gender on the causes of traffic accidents in the Czech Republic from 2011 to 2023, which may be crucial for creating measures. Pearson’s and Spearman’s correlation methods, based on the results from the Shapiro-Wilk test, were used for the analysis. Pearson’s correlation method showed a strong positive correlation between inattention and accident rate in women (0.862) and a substantial positive correlation in men (0.638). Excessive speed and failure to yield were less significant in men than women. Furthermore, the impact of the age groups on the selected causes of accidents was examined. In young drivers (15-24 years), inattention was the leading cause of accidents with a very strong correlation (0.912), excessive speed had a moderate impact (0.505), and failure to yield had a significant impact (0.698). In middle-aged drivers (25-64 years), inattention was still important (0.599). However, excessive speed had a negligible impact (-0.049). In old drivers (65+ years), inattention (0.945) and excessive speed (0.989) were very strong factors, while failure to yield had a very strong impact (0.802) as well. The centralization of data is a limitation of the work.
Czasopismo
Rocznik
Strony
5--17
Opis fizyczny
Bibliogr. 36 poz.
Twórcy
  • Institute of Technology and Business in Ceske Budejovice; Okruzni 517/10, 370 01 Ceske Budejovice, Czech Republic
autor
  • Institute of Technology and Business in Ceske Budejovice; Okruzni 517/10, 370 01 Ceske Budejovice, Czech Republic
Bibliografia
  • 1. Mccarty, D. & Kim, H.W. & Badi, I. Risky behaviors and road safety: An exploration of age and gender influences on road accident rates. PLOS ONE. 2024. Roc. 19. C. 1. ISSN 1932-6203. DOI: 10.1371/journal.pone.0296663.
  • 2. Nees, M.A. & Herwig, K. & Quigley, L. & Zhang, J. Relationships among driving styles, desire for control, illusion of control, and self-reported driving behaviors. Traffic Injury Prevention. 2021. Vol. 22(5). P. 372-377. ISSN: 1538-9588. DOI: 10.1080/15389588.2021.1909728.
  • 3. Jin, R. & Wang, X. & Nguyen, M.H. & Le, V.P. & Le, T.T. et al. A dataset of Chinese drivers’ driving behaviors and socio-cultural factors related to driving. Data in Brief. 2023. Vol. 49. DOI: 10.1016/j.dib.2023.109337.
  • 4. Sohaee, N. & Bohluli, Sh. Nonlinear analysis of the effects of socioeconomic, demographic, and technological factors on the number of fatal traffic accidents. Safety. 2024. Vol. 10(1). DOI: 10.3390/safety10010011.
  • 5. Alkaabi, K. Identification of hotspot areas for traffic accidents and analyzing drivers’ behaviors and road accidents. Transportation Research Interdisciplinary Perspectives. 2023. Vol. 22. DOI: 10.1016/j.trip.2023.100929.
  • 6. Roshanfekr, P. & Khodaie-Ardakani, M.R. & Sajjadi, H. & Malek Afzali Ardakani, H. Income-related inequality in health outcomes of traffic accidents: evidence from Iran. Iranian Journal of Public Health. 2020. Vol. 49(4). P. 718-726.
  • 7. Kovac, V. & Kovacikova, N. & Turinska, L. Development of passenger car safety. AD ALTA- Journal of interdisciplinary research. 2023. Vol. 13(2). P. 361-367.
  • 8. Tan, H. & Zhao, F. & Hau, H. & Liu, Z. Cost analysis of road traffic crashes in China. International Journal of Injury Control and Safety Promotion. 2020. Vol. 27(3). P. 385-391. DOI: 10.1080/17457300.2020.1785507.
  • 9. Golestani, M. & Sadeghi-Bazargani, H. & Gavgani, L.F. et al. A decadal analysis of road traffic accident-related mortality among women of reproductive age: A cross-sectional study in East Azerbaijan Province, Iran. Health Science Reports. 2024. Vol. 7(5). DOI: 10.1002/hsr2.2058.
  • 10. Trung Bui, H. & Saadi, I. & Cools, M. Investigating on-road crash risk and traffic offences in Vietnam using the motorcycle rider behaviour questionnaire (MRBQ). Safety Science. 2020. Vol. 130. DOI: 10.1016/j.ssci.2020.104868.
  • 11. Yilmaz, §. & Özkan, T. & Bahar, Ö.Z. Organisational safety climate, professional driver behaviours, and crashes among a mixed group of professional drivers. Journal of Road Safety. 2022. Vol. 33(2). P. 5-16. DOI: 10.33492/JRS-D-21-00054.
  • 12. Ni, D. & Guo, F. & Zhang, H. et al. Improving older drivers’ behaviors using theory of planned behavior. Sustainability. 2022. Vol. 14(8). DOI: 10.3390/su14084769.
  • 13. Ahmed, J. & Ward, N. & Otto, J. & Mcmahill, A. How does emotional intelligence predict driving behaviors among non-commercial drivers? Transportation Research Part F: Traffic Psychology and Behaviour. 2022. Vol. 85. P. 38-46. DOI: 10.1016/j.trf.2021.12.013.
  • 14. Mathew, S. & Pulugurtha, S.S. & Duvvuri, S. Exploring the effect of road network, demographic, and land use characteristics on teen crash frequency using geographically weighted negative binomial regression. Accident Analysis & Prevention. 2022. Vol. 168. DOI: 10.1016/j.aap.2022.106615.
  • 15. Kashani, A.T. & Besharati, M.M. An investigation of the relationship between demographic variables, driving behaviour and crash involvement risk of bus drivers: a case study from Iran. International Journal of Occupational Safety and Ergonomics. 2021. Vol. 27(2). P. 535-543. DOI: 10.1080/10803548.2019.1603012.
  • 16. Ogden, J. & Brown, P.M. & George, A.M. Young drivers and smartphone use: The impact of legal and non-legal deterrents. Journal of Safety Research. 2022. Vol. 83. P. 329-338. DOI: 10.1016/j.jsr.2022.09.007.
  • 17. Albert, D.A. & Ouimet, M.C. & Brown, T.G. Negative mood mind wandering and unsafe driving in young male drivers. Accident Analysis & Prevention. 2022. Vol. 178. DOI: 10.1016/j.aap.2022.106867.
  • 18. Moon, S. & Park, K. The predictors of driving cessation among older drivers in Korea. International Journal of Environmental Research and Public Health. 2020. Vol. 17(19). DOI: 10.3390/ijerph17197206.
  • 19. Noor, H.M. & Ramli, A.M. & Foo, J. et al. Kompetensi pemanduan dalam kalangan warga emas di Sabah. Malaysian Journal of Society and Space. 2023. Vol. 19(4). DOI: 10.17576/geo-2023-1904-12. [In Malay: Driving competence among senior citizens in Sabah].
  • 20. Alonso, F. & Esteban, C. & Faus, M. & Useche, S.A. Differences in the assessment of safe and risky driving behaviors: pedestrians versus drivers. SAGE Open. 2022. Vol. 12(2). DOI: 10.1177/21582440221102444.
  • 21. Donoghue, O.A. & Mcgarrigle, C.A. & Kenny, R.A. Who’s in the driver’s seat? Impact on social participation and psychosocial wellbeing in adults aged 50 and over. Transportation Research Part F: Traffic Psychology and Behaviour. 2019. Vol. 64. P. 522-531. DOI: 10.1016/j.trf.2019.06.010.
  • 22. Liu, J. & Da, S. & Khan, M.N. Decoding the impacts of contributory factors and addressing social disparities in crash frequency analysis. Accident Analysis & Prevention. 2024. Vol. 194. DOI: 10.1016/j.aap.2023.107375.
  • 23. Roshanfekr, P. & Afzali Ardakani, H.M. & Sajjadi, H. & Khodaei-Ardakani, M.-R. Social differences in the prevalence of road traffic injuries among pedestrians, and vehicle and motorcycle users in Iran: Results of a national multiple indicator demographic and health survey (IrMIDHS, 2010). International Journal of Preventive Medicine. 2019. Vol. 10(1). DOI:10.4103/ijpvm.IJPVM_206_18.
  • 24. Alshardan, A.M. & Alshuqaybi, H.M. & Agha, S. et al. Assessment of sleep quality, post-traumatic stress disorder, and locus of control in motor vehicle accident survivors. Australasian Medical Journal. 2020. Vol. 13(3). DOI: 10.35841/1836-1935.13.3.78-85.
  • 25. Kuo, Y.-C. & Chen, L.-Y. & Chang, H.-M. et al. Different demographic and drinking profiles of motorcyclists and car drivers with the first-time offense of driving/riding under the influence of alcohol. Accident Analysis & Prevention. 2020. Vol. 134. DOI: 10.1016/j.aap.2019.105330.
  • 26. Chen, H. & Li, H. & Pu, Ch. et al. Association between psychological symptoms and illegal driving behaviors in a sample of Chinese private car drivers. Frontiers in Psychiatry. 2022. Vol. 13. DOI: 10.3389/fpsyt.2022.984860.
  • 27. Blumenberg, E. & Schouten, A. & Brown, A. Who’s in the driver’s seat? Gender and the division of car use in auto-deficit households. Transportation Research Part A: Policy and Practice. 2022. Vol. 162. P. 14-26. DOI: 10.1016/j.tra.2022.05.017.
  • 28. Lajunen, T. & Sullman, M.J.M. & Gaygisiz, E. Self-assessed driving skills and risky driver behaviour among young drivers: a cross-sectional study. Frontiers in Psychology. 2022. Vol. 13. DOI: 10.3389/fpsyg.2022.840269.
  • 29. Genowska, I. & Polak, M. & Goworko-Skladanek, B. et al. Demographic and economic correlates of mortality due to traffic accidents among children aged 1-14 years in European countries. Iranian Journal of Public Health. 2020. Vol. 49(6). P. 1069-1078.
  • 30. Sun, L. & Zhang, J. & Chen, M. & Ma, X. Research on problems and countermeasures of road safety development under the trend of population change. In: 2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT). IEEE. 2020. P. 606612. DOI: 10.1109/ISCTT51595.2020.00115.
  • 31. Yu, J. & Mei, L. & Wang, Y. et al. Hospitalization information and burden of pediatric inpatients in transport accidents. BMC Public Health. 2024. Vol. 24(1). DOI: 10.1186/s12889-024-18891-2.
  • 32. Nehody v CR. Nehody.cdv.cz. Centrum dopravniho vyzkumu. V. V. I. 30.6.2024. Available at: https://nehody.cdv.cz/. [Accidents in the Czech Republic. Accidents.cdv.cz. Transport Research Center].
  • 33. Liu, Ch. Research on the correlation between some factors and GDP in different countries. Highlights in Business, Economics and Management. 2023. Vol. 23. DOI: 10.54097/fbtzpy87.
  • 34. Apanovych, Y. & Liskova-Dvorakova, Z. & Burghauserova, M. & Kovac, V. Insights into gold investing: exploring investor behavior. Acta Montanistica Slovaca. 2023. Vol. 28(4). P. 807-818. DOI: 10.46544/AMS.v28i4.02.
  • 35. De Vaus, D.A. Surveys in social research (5th ed.). London: Routledge. 2002.
  • 36. Gür, A. & Keskin Qelik, B. & Çakmak, F. Evaluation of mortality in height-experiencing falls in patients with height and traffic accidents. Eurasian Journal of Emergency Medicine. 2024. Vol. 23(3). P. 196-202. DOI: 10.4274/eajem.galenos.2024.98624.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7cb33d93-d993-4409-9a21-8fe2a447e92e
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