Journal of Transportation Research

Journal of Transportation Research

A Dynamic Model of Traffic Accidents leads to Injury and Death in Tehran Caused by Human and Vehicle Factors

Document Type : Original Article

Authors
Mohsen Shafiei Nikabadi 1
Amir Hakaki 2
1 Professor, Industrial Management Department, Faculty of Economics and Management, Semnan University, Semnan, Iran.
2 Ph.D., Grad., Organisations, and Behaviour Department, Henley Business School, University of Reading, Reading, UK.
Keywords
Traffic Accidents
Human Factors
Vehicle Factors
System Dynamics
VENSIM

Subjects

Iran is in the third placed of death caused by traffic accidents in the world and human factors and vehicle factors are the most important effective factors on it. This paper aims to present a dynamic model of traffic accidents leads to injury and death caused by human and vehicle factors. To study factors, the data collected by literature review and open interview by
15 experts chosen as researchers’ judgment. Dynamic model is plotted by VENSIM based on system dynamics approach after determining causal relations between human factors and vehicle factors with traffic accidents. To validate the model by system behavior reproduction test, the data collected from traffic police from 2015 to 2016. Coefficient of determination between real data and simulated data determined 0.998. The model was simulated from 2016 to 2026 to analyze current and future policies. As a result, in terms of human factors accidents because of disabled people and in terms of vehicle factors light system have the greatest increase by keeping on current policies. For human factors, the greatest reduction in accidents related to unnecessary rush. Moreover, for vehicle factors, among the vehicle's drivers, the three factors of lack of wheel chains, the lack of a wiper and the failure of the steering system due to policies such as stringent laws and regulations and culture, are significantly reduced.

-Agbonkhese, O., Yisa, G. L., Agbonkhese, E. G., Akanbi, D. O., Aka, E. O., & Mondigha, E. B. (2013). Road traffic accidents in nigeria: causes and preventive measures. Civil and Environmental Research, 3(13), 90-99.
-Amini, H. (2011). Study of some important factors of road accidents in Iran with the first place in crashes in the world. 2th National Conference on Road Accidents, Railways and Air Crashes, Islamic Azad University, Zanjan Branch, November. [In Persian]
-Andrew, D. (2004). The world’s worst traffic jams. Time magazine, Retrieved on 10/06/2009.
-Ayati, E., Ghadirian, F., & Ahmadi, M. (2008). “Calculating the cost of damage to the vehicle in road accidents in Iran in 2004. Journal of Transportation Research, 5(1), 1-13. [In Persian]
-Azar, A., Zahedi, Sh., & Amirkhani, T. (1389). A Model for Implementing Budgeting based on performance using system dynamics approach. Iranian Journal of Management Sciences (IAMS), 5(18), 29-53. [In Persian]
-Bagheri, M., Nikzad, F., Divsalar, A. (2014). Investigating the Factors Affecting Urban Traffic to Control Road Accident. 3th National Conference on Road Accidents, Railways and Air Crashes, Islamic Azad University, Zanjan Branch. [In Persian]
-Bagheri Khalili, F., & Shykhol Islami, A. (2011). An analysis of the research on the factors affecting the occurrence of accidents in the out-of-town ways. Quarterly of Rahvar, 8(15), 93-115. [In Persian]
-Ding, Z., Yi, G., Tam, V. W., & Huang, T. (2016). A system dynamics-based environmental performance simulation of construction waste reduction management in China. Waste Management, 51, 130-141.
-Friedmann, J., & Wolff, G. (1982). World city formation: an agenda for research and action. International Journal of Urban and Regional Research, 6(3), 309-344.
-Gao, W., Hong, B., Swaney, D. P., Howarth, R. W., & Guo, H. (2016). A system dynamics model for managing regional N inputs from human activities. Ecological Modelling, 322, 82-91.
-Izadi, N., Najafi, F., & Hashemi Nazari, S. S., Suri, H., & Salari, A. (2014). Lost years of life due to disability from traffic accidents based on the nature of damage in Kermanshah province. Monthly Journal of Medical University of Kermanshah, 18(12), 701-708. [In Persian]
-Khademi, F. (2013). Study of the most important factors affecting road accidents. 7th National Civil Engineering Congress, Engineering Faculty of Martyr Nikbakht, Zahedan, 8-9 May. [In Persian]
-Khyri, GH., & Bolhari, J. (2012). The role of human factors in road accidents. Technology Science Research, 10(1), 69-78. [In Persian]
-Kumar, S. N., & Umadevi, G. (2011). Application of System Dynamic Simulation Modeling in Road Safety. Proceedings of the 3rd International Conference on Road Safety and Simulation, Indiana Government Conference Center Indianapolis. September 2011, Indiana, EUA.
-Lee, C. F., & Chung, C. P. (2012). An inventory model for deteriorating items in a supply chain with system dynamics analysis. Procedia-Social and Behavioral Sciences, 40, 41-51.
-Minami, N., & Madnick, S. (2010). Using systems analysis to improve traffic safety. Working Paper CISL# 2010-04", Massachusetts Institute of Technology. Cambridge, MA.
-National Forensic Medicine Organization. (2016). Death Report and Driving Accident Injuries Between 2009 and 2015.
-Pakgohar, A., Khalili, M., & Saffarzadeh, M. (2009). Investigating the causes and factors affecting the reduction of road accidents in Iran or using regression models LR, CRT and GLM. Quarterly of Danesh-e-Entezami, 12(1), 77-106. [In Persian]
-Ramezanian, M., Esmailpour, R., & Hadidi Masuleh, M. (2015). Provide a Support Model for implementing Enterprise Resource Planning (ERP) Projects Using System Dynamics Approach. Information Technology Management, 7(2), 301-324. [In Persian]
-Ramezanzadeh Lasbuie, M., Golin Sharif Dini, J., & Nushin, M. (2011). Road accidents: investigation of effective factors, reduction strategies (Case Study: Haraz road in Mazandaran province). 1th National Conference on Road Accidents, Railways and Air Crashes, Islamic Azad University, Zanjan Branch. [In Persian]
-Salmani, M., Ramezanzadeh Lasbuie, M., Dirikvand, M., & Sabeti, F. (2008). The study of factors affecting road accidents and the ways to reduce it (Case study: Rural system of South Khore and Biabanak). Human Geography Research, 41(65), 87-104. [In Persian]
-Samara, E., Georgiadis, P., & Bakouros, I. (2012). The impact of innovation policies on the performance of national innovation systems: A system dynamics analysis. Technovation, 32(11), 624-638.
-Shafiei, M. & Hakaki, A. (2017). A Dynamic Model of Effective Factors on Open Innovation in Manufacturing Small and Medium Sized Companies. International Journal of System Dynamics Applications (IJSDA), 7(1).
-Shafiei Nikabadi, M., & Hakaki, A. (2017). System Dynamics Modelling with VENSIM. Tehran: Sorayandeh. [In Persian]
-Shepherd, S. P. (2014). A review of system dynamics models applied in transportation. Transportmetrica B: Transport Dynamics, 2(2), 83-105.
-Sterman, J. D. (2001). System dynamics modeling: tools for learning in a complex world. California Management Review, 43(4), 8-25.
-Sterman, J. (2000). Business dynamics: Systems thinking and modeling for a complex world. Chicago, IL: Irwin/McGraw Hill.
-Tavakoli, L., & Khanjani, N. (2016). Pattern of Intra-city Accident with Emphasizing on Effective Factors in its Occurrence in Kerman City Between 2012-2014. Journal of Safety Promotion and Injury Prevention, 4(2), 101-108. [In Persian]
-Volvo Trucks (2013). European Accident Research and Safety Report 2013. Retrieved from http://www.volvotrucks.com
-World Health Organization. (2009). Global Status Report on Road Safety. Geneva, Switzerland.
-Yuan, H., & Wang, J. (2014). A system dynamics model for determining the waste disposal charging fee in construction. European Journal of Operational Research, 237(3), 988-996.
-Zahed, F., & Rezaee, A. (2006). Estimation of the external cost of the road section of the country on the social environment (with emphasis on road accidents). Journal of Environment Science and Technology, 8(3), 35-42. [In Persian]