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Road crashes remain an important public health issue. This study aimed to assess the perceived importance of four types of measures for reducing traffic crash rates. For this cross-sectional study, data were obtained from a national sample of 1,200 Spanish drivers responding to a telephone-assisted survey. The most valued types of road safety measures were those related to users’ training/education and infrastructural improvements. Further, individual perceptions were influenced by both demographic and trip-related factors. The results of this study support the idea that user features remain a relevant issue to consider when developing and implementing road safety measures.
Czasopismo
Rocznik
Tom
Strony
137--149
Opis fizyczny
Bibliogr. 40 poz.
Twórcy
autor
- University of Valencia, INTRAS (Research Institute on Traffic and Road Safety)
autor
- ESIC Business & Marketing School; Avenida de Blasco Ibañez 55. 46021 Valencia, Spain
autor
- University of Valencia, INTRAS (Research Institute on Traffic and Road Safety)
autor
- University of Valencia, INTRAS (Research Institute on Traffic and Road Safety)
Bibliografia
- 1. Rowe, R. & Roman, G. & McKenna, F. & Barker, E. Measuring errors and violations on the road: A bifactor modeling approach to the Driver Behavior Questionnaire. Accident Analysis & Prevention. 2015. Vol. 74. P. 118-125. DOI: 10.1016/j.aap.2014.10.012.
- 2. World Health Organization. Road safety: Measuring Progress Towards Universal Health Coverage. 2020. DOI:10.1787/26b007cd-en.
- 3. Cioca, L. & Ivascu, L. Risk indicators and road accident analysis for the period 2012-2016. Sustainability. 2017. Vol. 9. P. 1530. DOI:10.3390/su9091530.
- 4. Singh, R. & Singh, HK & Gupta, SC & Kumar, Y. Pattern, severity and circumstances of injuries sustained in road traffic crashes: a tertiary care hospital-based study. Indian Journal of Community Medicine. 2014. Vol. 39. No. 1. P. 30-34. DOI:10.4103/0970-0218.126353.
- 5. Al-Harbi, M. & Yassin, M.F. & Bin Shams, M. Stochastic modelling of the impact of meteorological conditions on road traffic crashes. Stochastic Environmental Research and Risk Assessment. 2012. Vol. 26. No. 5. P. 739-750. DOI: 10.1007/s00477-012-0584-y.
- 6. Al-Masaeid, H. & Al-Mashakbeh, A. & Qudah, A. Economic costs of traffic crashes in Jordan. Accident Analysis & Prevention. 1999. Vol. 31. No. 4. P. 347-357. DOI: 10.1016/S0001-4575(98)00068-2.
- 7. Sanjeev, S. Road Traffic Safety: Cost of Government Neglect. Economic and Political Weekly. 2005. Vol. 40. No. 16. P. 1598-1602. Available at: http://www.jstor.org/stable/4416498.
- 8. Elvik, R. An analysis of official economic valuations of traffic accident fatalities in 20 motorized countries. Accident Analysis & Prevention. 1995. Vol. 27. No. 2. P. 237-247. DOI: 10.1016/0001-4575(94)00060-Y.
- 9. Qirjako, G. & Burazeri, G. & Hysa, B. & Roshi, E. Factors associated with fatal traffic crashes in Tirana, Albania: Cross-sectional Study. Croatian Medical Journal. 2008. Vol. 49. No. 6. P. 734-740. DOI: 10.3325/cmj.2008.49.734.
- 10. Hammad, H. M. & Ashraf, M. & Abbas, F. & Bakhat, H. F. & Qaisrani, S. A. & Mubeen, M., ... & Awais, M. Environmental factors affecting the frequency of road traffic accidents: a case study of sub-urban area of Pakistan. Environmental Science and Pollution Research, 2019. Vol. 26. N. 12. P. 11674-11685. DOI: 10.1007/s11356-019-04752-8
- 11. Bahadorimonfared, A. & Soori, H. & Delpiseh, A. & Esmali, A. & Salehi, M. & Bakhiyari, M. Trends of fatal road traffic injuries in Iran. PLoS ONE. 2011. Vol. 8. No. 5. P. e65198. DOI: 10.1371/journal.pone.0065198.
- 12. Bayoumi, A. The epidemiology of fatal motor vehicle crashes in Kuwait. Accident Analysis & Prevention. 1981. Vol. 13. No. 4. P. 339-348. DOI: 10.1016/0001-4575(81)90058-0.
- 13. Frieden, T.R. & Jaffe, H.W. & Stephens, J.W. & Cardo, D.M. & Zaza, S. Mobile device use while driving-United States and seven European countries. Morbidity and Mortality Weekly Report. 2013. Vol. 62. No. 10. P. 177-182. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4604823.
- 14. Eid, A.M. Road traffic crashes in Qatar the size of the problem. Accident Analysis & Prevention. 1980. Vol. 12. No. 4. P. 287-298. DOI: 10.1016/0001-4575(80)90006-8.
- 15. Chung, W. Y. & Chong, T. W. & Lee, B. G. Methods to detect and reduce driver stress: a review. International journal of automotive technology, 2019. Vol. 20. N. 5. P. 1051-1063. DOI: 10.1007/s12239-019-0099-3
- 16. Nabi, H. & Consoli, S.M. & Chastang, J.F. & Chiron, M. & Lafont, S. & Lagarde, E. Type A behavior pattern, risky driving behaviors, and serious road traffic crashes: a prospective study of the GAZEL cohort. American Journal of Epidemiology. 2005. Vol. 161. No. 9. P. 864-870. DOI: 10.1093/aje/kwi110.
- 17. Alavi, S.S. & Mohammadi, M.R. & Souri, H. & Mohammadi Kalhori, S. & Jannatifard, F. & Sepahbodi, G. Personality, driving behavior and mental disorders factors as predictors of road traffic crashes based on logistic regression. Iranian Journal of Medical Sciences. 2017. Vol. 42. No. 1. P. 24-31.
- 18. Scott-Parker, B. & Oviedo-Trespalacios, O. Young driver risky behaviour and predictors of crash risk in Australia, New Zealand and Colombia: Same but different? Accident Analysis & Prevention. 2017. Vol. 99. P. 30-38. DOI: 10.1016/j.aap.2016.11.001.
- 19. Oviedo-Trespalacios, O. & Scott-Parker, B. The sex disparity in risky driving: A survey of Colombian young drivers. Traffic Injury Prevention. 2017. Vol. 19. No. 1. P. 9-17. DOI: 10.1080/15389588.2017.1333606.
- 20. Parker, D. & Lajunen, T. & Stradling, S. Attitudinal predictors of interpersonally aggressive violations on the road. Transportation Research Part F: Traffic Psychology and Behaviour. 1998. Vol. 1. P. 11-24. DOI: 10.1016/S1369-8478(98)00002-3.
- 21. Chossegros, L. & Hours, M. & Charnay, P. & Bernard, M. & Fort, E. & Boisson, D. & Sancho, P.O. & Yao, S.N. & Laumon, B. Predictive factors of chronic post-traumatic stress disorder 6 months after a road traffic accident. Accident Analysis & Prevention. 2011. Vol. 43. No. 1. P. 471-477. DOI: 10.1016/j.aap.2010.10.004.
- 22. Useche, S. & Cendales, B. & Gómez, V. Work stress, fatigue and risk behaviors at the wheel: data to assess the association between psychosocial work factors and risky driving on bus rapid transit drivers. Data Brief. 2017. Vol. 15C. P. 335-339. DOI: 10.1016/j.dib.2017.09.032.
- 23. Sharma, B.R. Road traffic injuries: a major global public health crisis. Public Health. 2008. Vol. 122. No. 12. P. 1399-1406. DOI: 10.1016/j.puhe.2008.06.009.
- 24. Singh, D. & Singh, S.P. & Kumaran, M. & Goel, S. Epidemiology of road traffic accident deaths in children in Chandigarh zone of North West India. Egyptian Journal of Forensic Sciences. 2015. Vol. 6. No. 3. P. 255-260. DOI: 10.1016/j.ejfs.2015.01.008.
- 25. Yau, K.K.W. Risk factors affecting the severity of single vehicle traffic crashes in Hong Kong. Accident Analysis & Prevention. 2004. Vol. 36. No. 3. P. 333-340. DOI: 10.1016/S0001-4575(03)00012-5.
- 26. Valent, F. & Schiava, F. & Savonitto, C. & Gallo, T. & Brusaferro, S. & Barbone, F. Risk factors for fatal road traffic crashes in Udine, Italy. Accident Analysis & Prevention. 2002. Vol. 34. No. 1. P: 71-84. DOI: 10.1016/S0001-4575(00)00104-4.
- 27. Vorko-Jovic, A. & Kern, J. & Biloglav, Z. Risk factors in urban road traffic crashes. Journal of Safety Research. 2006. Vol. 37. No. 1. P. 93-98. DOI: 10.1016/j.jsr.2005.08.009.
- 28. Lindqvist, K.S. Epidemiology of traffic accident in a Swedish municipality. Accident Analysis & Prevention. 1991. Vol. 23. No. 6. P. 509-519. DOI: 10.1016/0001-4575(91)90016-X.
- 29. Davis, G.A. Accident reduction factors and causal inference in traffic safety studies a review. Accident Analysis & Prevention. 2000. Vol. 32. No. 1. P. 95-109. DOI: 10.1016/S0001-4575(99)00050-0.
- 30. Pearson, J. & Stone, D.H. Pattern of injury mortality by age-group in children aged 0-14 years in Scotland, 2002-2006, and its implications for prevention. BMC Pediatrics. 2009. Vol. 9. No. 26. DOI: 10.1186/1471-2431-9-26.
- 31. Staubach, M. Factors correlated with traffic crashes as a basis for evaluating Advanced Driver Assistance Systems. Accident Analysis & Prevention. 2009. Vol. 41. No. 5. P. 1025-1033. DOI: 10.1016/j.aap.2009.06.014.
- 32. Calafat, A. & Blay, N. & Juan, M. & Adrover, D. & Bellis, M.A. & Hughes, K. & Stocco, P. & Siamou, I. & Mendes, F. & Bohrn, K. Traffic risk behaviours at nightlife: drinking, taking drugs, driving, and use of public transport by young people. Traffic Injury Prevention. 2009. Vol. 10. No. 2. P. 162-169. DOI:10.1080/15389580802597054.
- 33. Hatfield, J. & Boufous, S. & Eveston, T. An evaluation of the effects of an innovative school-based cycling education program on safety and participation. Accident Analysis & Prevention, 2019. Vol. 127. P. 52-60. DOI: 10.1016/j.aap.2019.02.021
- 34. Primanto, A., & Undang, G. Impact evaluation of the road infrastructure development policy in improving the quality of education services in Indonesia. Jurnal Mantik, 2022. Vol. 5, N. 4. P. 2332-2339.
- 35. Clarke, S. Injuries and crashes: psychosocial aspects. International Encyclopedia of the Social & Behavioral Sciences. 2015. Vol. 12. P. 130-134. DOI: 10.1016/B978-0-08-097086-8.14108-X.
- 36. Xie, G. & Zhang, X. & Gao, H. & Qian, L. & Wang, J. & Ozguner, U. Situational assessments based on uncertainty-risk awareness in complex traffic scenarios. Sustainability. 2017. Vol. 9. N. 9. P. 1582. DOI: 10.3390/su9091582.
- 37. Zhang, G. & Yau, K.K.W. & Chen, G. Risk factors associated with traffic violations and accident severity in China. Accident Analysis & Prevention. 2013. Vol. 5. P. 18-25. DOI: 10.1016/j.aap.2013.05.004.
- 38. Useche, S.A. & Montoro, L. & Alonso, F. & Pastor, J.C. Psychosocial work factors, job stress and strain at the wheel: validation of the Copenhagen psychosocial questionnaire (COPSOQ) in professional drivers. Frontiers in Psychology. 2019. Vol. 10. P. 1531. DOI: 10.3389/fpsyg.2019.01531.
- 39. Useche, S.A. & Alonso, F. & Montoro, L. Validation of the walking behavior questionnaire (WBQ): a tool for measuring risky and safe walking under a behavioral perspective. Journal of Transport & Health. 2020. Vol. 18. No. 100899. DOI: 10.1016/j.jth.2020.100899.
- 40. Slavinskienė, J. Predicting future traffic offenders by pre-drivers’ attitudes towards risky driving. 3rd International Conference on Health and Health Psychology. 2017. DOI: 10.15405/epsbs.2016.07.02.3.
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-73c9a0fd-b774-46ce-bd6c-41846a26acea