Investigating the Effect of Transportation Development Indicators on Road Traffic Casualties

Shaykh Baygloo, Rana

Volume 16, Issue 62 (10-2016) refahj 2016, 16(62): 103-141 | Back to browse issues page

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Shaykh Baygloo R. (2016). Investigating the Effect of Transportation Development Indicators on Road Traffic Casualties. refahj. 16(62), 103-141.
URL: http://refahj.uswr.ac.ir/article-1-2679-en.html

Investigating the Effect of Transportation Development Indicators on Road Traffic Casualties

Rana Shaykh Baygloo ^*

Abstract: (4910 Views)

Introduction: The number of decedents of road accidents within a year in Iran is equal to the population of one or some small cities. In these accidents, besides losing a large number of people and occurring serious injuries and disabilities for many individuals, other negative economic, social and psychological consequences will happen. Considering the frequency and the intensity of accidents occurred in Iran’s road transportation, thisstudy investigated the effect of transportation development indicators on frequency of road accidents in provinces of Iran.

Method: It was a descriptive-analytical and a practical study. It investigated Iran’s provinces’ conditions with regard to transportation indicators applying the composite indicators of development and deprivation. Moreover, the effects of these indicators on road accidents variables such as the number of the dead and injuries were studied using Pearson correlation coefficient and Regression analysis.

Results: The results showed that the provinces of Tehran, Isfahan and Mazandaran have better conditions in respect of indicators of road transportation development and the provinces of Ardebil, Sistan & Baluchestan and Southern Khorasan are less developed. More than 50% of changes in variable “Number of dead people” and more than 85% of changes in variable “Number of injured people” caused by road accidents were determined by linear combination of indicators under study. Moreover, those provinces with a high demand rate of transportation have less favorable conditions with regard to traffic safety.

Discussion: Indicators regarding demand for travel such as ‘transportation companies and institutions’, ‘safety’ and “transportation of passengers and goods” have a significant effect on accident casualties. In fact, more demand for travel leads to more risky behavior exhibition by drivers which, along with the poor quality of road safety lead to more road casualties.

Keywords: Accident, transportation, road traffic injuries.

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Type of Study: orginal |
Received: 2017/01/30 | Accepted: 2017/01/30 | Published: 2017/01/30

References

1. Akimura, S. (2015). Transportation statistics that can contribute to policies and social infrastructure development aimed at ensuring the healthy growth of cities and providing support for smooth economic activity. IATSS Research, 39, 9 –18.

2. Amekudzi, A. A., Khisty, C. J. & Khayesi, M. (2009). Using the sustainability footprint model to assess development impacts of transportation systems. Transportation Research Part A, 43, 339–348.

3. Da Silva, F. P., Santos, J. A. & Meireles, A. (2014). Road Accident: Driver Behaviour, Learning and Driving Task. XVIII Congreso Panamericano de Ingeniería de Tránsito, Transporte y Logística, Procedia - Social and Behavioral Sciences, 162, 300-309.

4. European Commission (2013). Press Release. Available on: http://europa.eu/rapid/press-release_IP-13-236_en.htm.

5. Golub, A. & Martens, K. (2014). Using principles of justice to assess the modal equity of regional transportation plans. Journal of Transport Geography, 41, 10–20.

6. Haghshenas, H., Vaziri, M. & Gholamialam, A. (2015). Evaluation of sustainable policy in urban transportation using system dynamics and world cities data: A case study in Isfahan, Cities, 45, 104–115.

7. Hu, X., Chang, S., Li, J. & Qin, Y. (2010). Energy for sustainable road transportation in China: Challenges, initiatives and policy implications. Energy, 35, 4289–4301.

8. Isildar, S. (2006). Road accidents in Turkey 1995-2004. IATSS research, 30(2), 115-118.

9. Islam, M. B. & Kanitpong, K. (2008). Identification of factors in road accidents through in-depth accident analysis, IATSS Research, 32(2), 58-67.

10. Kanchan, T. et al. (2012). Analysis of fatal road traffic accidents in a coastal township of South India. Journal of Forensic and Legal Medicine, 19, 448-451.

11. Masuri, M. G., Md Isa, K. A. & Tahir, M. P. M. (2012). Children, Youth and Road Environment: Road Traffic Accident. Asia Pacific International Conference on Environment-Behaviour Studies, Procedia - Social and Behavioral Sciences, 38, 213-218.

12. Oh, C., Oh, J. S., Ritchie, S., & Chang, M. (2001). Real-time estimation of freeway accident likelihood. In 80th Annual Meeting of the Transportation Research Board, Washington, DC.

13. Park, S. (2008). Road accidents in Korea. IATSS Research, 32(2), 118-121.

14. Prasannakumar, V., Vijith, H., Charutha, R. & Geetha, N. (2011). Spatio-Temporal Clustering of Road Accidents: GIS Based Analysis and Assessment. International Conference: Spatial Thinking and Geographic Information Sciences, Procedia Social and Behavioral Sciences, 21, 317–325.

15. Song, M., Wang, S. & Fisher, R. (2014). Transportation, iceberg costs and the adjustment of industrial structure in China. Transportation Research Part D, 32, 278–286.

16. Yalcin, G. (2013). Non-spatial analysis for the road traffic accidents, Lumen International Conference Logos Universality Mentality Education Novelty. Procedia Social and Behavioral Sciences, 92, 1033-1038.

17. World Health Organization. (2007a). A 5-year WHO strategy for road traffic injury prevention. Available on: http://www.who.int/violence_injury_prevention/publications/road_traffic/5yearstrat/en/index.html

18. World Health Organization. (2007b). Road traffic injuries. Available on: http://www.who.int/violence_injury_prevention/road_traffic/en.

19. WHO (World Health Organization) (2009) European Status Report on Road Safety. Towards Safer Roads and Healthier Transport Choices. WHO Regional Office for Europe, Copenhagen.

20. Yalcin, G. (2013). Non-spatial analysis for the road traffic accidents, Lumen International Conference Logos Universality Mentality Education Novelty. Procedia Social and Behavioral Sciences, 92, 1033-1038.

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