Yıl: 2021 Cilt: 9 Sayı: 19 Sayfa Aralığı: 42 - 51 Metin Dili: Türkçe DOI: 10.7816/nesne-09-19-04 İndeks Tarihi: 21-06-2022

The Relationship between HDI Values and Road Traffic Fatality Rates

Öz:
Road traffic accidents are a serious but an avoidable problem that cause both life and economic loss worldwide. There are some common factors such as income, education and health that affect both socioeconomic development and road traffic fatality rates of countries. Examination of these factors separately during the analyze of road traffic fatality rates might cause misleading results due to the relationships between stated variables. Thus, using an inclusive parameter like Human Development Index (HDI), may provide more realistic results. In the current study, the relationship between HDI, its dimensions (GNI per capita, expected years of schooling, mean years of schooling and life expectancy at birth) and road traffic fatality rates are examined. Hierarchical regression analysis was conducted in order to obtain results about the effects of each dimension of HDI. Results showed that all dimensions of HDI negatively predicted road traffic fatalities. Results have been discussed according to related literature and suggestions have been made for further research and applications.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • Anbarci, N., Escaleras, M., & Register, C. A. (2009). Traffic fatalities: does income inequality create an externality. Canadian Journal of Economics/Revue Canadienne D'économique, 42(1), 244-266.
  • Beck, L. F., Downs, J., Stevens, M. R., & Sauber-Schatz, E. K. (2017). Rural and urban differences in passenger-vehicle–occupant deaths and seat belt use among adults—United States, 2014. MMWR Surveillance Summaries, 66(17), 1-13.
  • Bester, C. J. (2001). Explaining national road fatalities. Accident Analysis & Prevention, 33(5), 663-672.
  • Bishai, D., Quresh, A., James, P., & Ghaffar, A. (2006). National road casualties and economic development. Health Economics, 15(1), 65-81.
  • Cubbin, C., LeClere, F. B., & Smith, G. S. (2000). Socioeconomic status and injury mortality: ndividual and neighbourhood determinants. Journal of Epidemiology & Community Health, 54(7), 517-524.
  • Eun, S. J. (2020). Trends in mortality from road traffic injuries in South Korea, 1983–2017: Joinpoint regression and age-period-cohort analyses. Accident Analysis & Prevention, 134, 105325.
  • Garg, N., & Hyder, A. A. (2006). Exploring the relationship between development and road traffic injuries: a case study from India. The European Journal of Public Health, 16(5), 487-491.
  • Gaygısız, E. (2010). Cultural values and governance quality as correlates of road traffic fatalities: a nation level analysis. Accident Analysis & Prevention, 42, 1894–1901.
  • Gustafson, P. (1997). Large Hierarchical Bayesian Analysis of Multivariate Survival Data. Biometrics, 53(1), 230-242.
  • Høye, A. (2016). How would increasing seat belt use affect the number of killed or seriously injured light vehicle occupants?. Accident Analysis & Prevention, 88, 175-186.
  • Kim, H., Jung, K. Y., Kim, S. P., Kim, S. H., Noh, H., Jang, H. Y., ... & Ju, J. M. (2012). Changes in preventable death rates and traumatic care systems in Korea. Journal of the Korean Society of Emergency Medicine, 23(2), 189-197.
  • Kopits, E., & Cropper, M. L. (2005). Why Have Traffic Fatalities Declined in Industrialized Countries: Implications for Pedestrians and Vehicle Occupants. . World Bank Publications, 3678Law, T. H., Noland, R. B., & Evans, A. W. (2011). The sources of the Kuznets relationship between road fatalities and economic growth. Journal of Transport Geography, 19(2), 355-365.
  • Noland, R. B. (2003). Medical treatment and traffic fatality reductions in industrialized countries. Accident Analysis & Prevention, 35(6), 877-883.
  • Özkan, T., & Lajunen, T. (2007). The role of personality, culture, and economy in unintentional fatalities: An aggregated level analysis. Personality and Individual Differences, 43(3), 519–530.
  • Pan, W. T. (2017). A newer equal part linear regression model: a case study of the influence of educational input on gross national income. Eurasia Journal of Mathematics, Science and Technology Education, 13(8), 5765-5773
  • Spoerri, A., Egger, M., & von Elm, E. (2011). Mortality from road traffic accidents in Switzerland: longitudinal and spatial analyses. Accident Analysis & Prevention, 43(1), 40-48
  • Taylor, N. L., & Daily, M. (2019). Self-reported factors that influence rear seat belt use among adults. Journal of Safety Research, 70, 25–31
  • Todaro, M. P., & Smith, S. C. (2015). Economic Development. United Kingdom: Pearson Education.
  • United Nations Development Programme. (2020a). Human Development Index (HDI). http://hdr.undp.org/en/content/human-development-index-hdi
  • United Nations Development Programme. (2020b). Human Development Data (1990-2018). http://hdr.undp.org/en/data
  • Üzümcüoğlu, Y., Solmazer, G., Özkan, T. (2020). The relationship between culture and traffic fatality rates at national level: the moderating role of the economy. Trafik ve Ulaşım Araştırmaları Dergisi , 3(1) , 28-38.
  • van Beeck, E. F., Borsboom, G. J., & Mackenbach, J. P. (2000). Economic development and traffic accident mortality in the industrialized world, 1962–1990. International Journal of Epidemiology, 29(3), 503-509.
  • Wangdi, C., Gurung, M. S., Duba, T., Wilkinson, E., Tun, Z. M., & Tripathy, J. P. (2018). Burden, pattern and causes of road traffic accidents in Bhutan, 2013–2014: a police record review. International Journal of Injury Control and Safety Promotion, 25(1), 65-69.
  • World Health Organization. (2018a). Global Status Report on Road Safety 2018. https://www.who.int/violence_injury_prevention/road_safety_status/2018/en/
  • World Health Organization. (2018b, July 5). Disability-adjusted Life Years (DALYs). https://www.who.int/gho/mortality_burden_disease/daly_rates/text/en/
  • World Health Organization (2020, February 7). Road traffic injuries. https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries
APA Düzyol S, Daibaşoğlu K (2021). The Relationship between HDI Values and Road Traffic Fatality Rates. , 42 - 51. 10.7816/nesne-09-19-04
Chicago Düzyol Salih Gökberk,Daibaşoğlu Kaan The Relationship between HDI Values and Road Traffic Fatality Rates. (2021): 42 - 51. 10.7816/nesne-09-19-04
MLA Düzyol Salih Gökberk,Daibaşoğlu Kaan The Relationship between HDI Values and Road Traffic Fatality Rates. , 2021, ss.42 - 51. 10.7816/nesne-09-19-04
AMA Düzyol S,Daibaşoğlu K The Relationship between HDI Values and Road Traffic Fatality Rates. . 2021; 42 - 51. 10.7816/nesne-09-19-04
Vancouver Düzyol S,Daibaşoğlu K The Relationship between HDI Values and Road Traffic Fatality Rates. . 2021; 42 - 51. 10.7816/nesne-09-19-04
IEEE Düzyol S,Daibaşoğlu K "The Relationship between HDI Values and Road Traffic Fatality Rates." , ss.42 - 51, 2021. 10.7816/nesne-09-19-04
ISNAD Düzyol, Salih Gökberk - Daibaşoğlu, Kaan. "The Relationship between HDI Values and Road Traffic Fatality Rates". (2021), 42-51. https://doi.org/10.7816/nesne-09-19-04
APA Düzyol S, Daibaşoğlu K (2021). The Relationship between HDI Values and Road Traffic Fatality Rates. Nesne Dergisi, 9(19), 42 - 51. 10.7816/nesne-09-19-04
Chicago Düzyol Salih Gökberk,Daibaşoğlu Kaan The Relationship between HDI Values and Road Traffic Fatality Rates. Nesne Dergisi 9, no.19 (2021): 42 - 51. 10.7816/nesne-09-19-04
MLA Düzyol Salih Gökberk,Daibaşoğlu Kaan The Relationship between HDI Values and Road Traffic Fatality Rates. Nesne Dergisi, vol.9, no.19, 2021, ss.42 - 51. 10.7816/nesne-09-19-04
AMA Düzyol S,Daibaşoğlu K The Relationship between HDI Values and Road Traffic Fatality Rates. Nesne Dergisi. 2021; 9(19): 42 - 51. 10.7816/nesne-09-19-04
Vancouver Düzyol S,Daibaşoğlu K The Relationship between HDI Values and Road Traffic Fatality Rates. Nesne Dergisi. 2021; 9(19): 42 - 51. 10.7816/nesne-09-19-04
IEEE Düzyol S,Daibaşoğlu K "The Relationship between HDI Values and Road Traffic Fatality Rates." Nesne Dergisi, 9, ss.42 - 51, 2021. 10.7816/nesne-09-19-04
ISNAD Düzyol, Salih Gökberk - Daibaşoğlu, Kaan. "The Relationship between HDI Values and Road Traffic Fatality Rates". Nesne Dergisi 9/19 (2021), 42-51. https://doi.org/10.7816/nesne-09-19-04