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Complex systems modeling for evaluating potential impact of traffic safety policies: a case on drug-involved fatal crashes

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  • Ozgur M. Araz

    (University of Nebraska-Lincoln)

  • Fernando A. Wilson

    (University of Nebraska Medical Center)

  • Jim P. Stimpson

    (Drexel University)

Abstract

Driving under the influence of illicit drugs is a critical road safety and public health concern. The U.S. National Drug Control Strategy has set a goal in 2010 to lower drugged driving significantly. In this study we presented a complex systems approach and developed a system dynamics (SD) model of drugged driving for assessing the impact of drugged driving per se law on the crash fatalities over time. The experimental analyses presented the behavioral change on the trend of number of annual drug-related fatally injured drivers when per se law is implemented with certain effect and investigated on the impact of drugged driving per se law on the number drug-related fatally injured drivers. By considering multiple interrelated factors that may influence drugged driving behaviors, the SD model was helpful in analyzing the potential “real world” impact of policy interventions on improving roadway safety and the behavior of drivers given the road infrastructure. Analyses showed that per se law would have negative exponential effect on the drugged driving fatalities over time and the policy effect would require time to be visible. In addition, combining policies of drugged driving and investing on public transportation would cause a higher change over time on reversing the trend of number of drugged driving-related crashes, however, cost effectiveness of policies still need further investigation.

Suggested Citation

  • Ozgur M. Araz & Fernando A. Wilson & Jim P. Stimpson, 2020. "Complex systems modeling for evaluating potential impact of traffic safety policies: a case on drug-involved fatal crashes," Annals of Operations Research, Springer, vol. 291(1), pages 37-58, August.
    • Handle: RePEc:spr:annopr:v:291:y:2020:i:1:d:10.1007_s10479-018-2961-5
    DOI: 10.1007/s10479-018-2961-5
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    References listed on IDEAS

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    1. Anderson, D. Mark & Rees, Daniel I., 2012. "Per Se Drugged Driving Laws and Traffic Fatalities," IZA Discussion Papers 7048, Institute of Labor Economics (IZA).
    2. Beirão, Gabriela & Sarsfield Cabral, J.A., 2007. "Understanding attitudes towards public transport and private car: A qualitative study," Transport Policy, Elsevier, vol. 14(6), pages 478-489, November.
    3. Jonathan E. Hughes & Christopher R. Knittel & Daniel Sperling, 2008. "Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand," The Energy Journal, International Association for Energy Economics, vol. 29(1), pages 113-134.
    4. Brons, Martijn & Nijkamp, Peter & Pels, Eric & Rietveld, Piet, 2008. "A meta-analysis of the price elasticity of gasoline demand. A SUR approach," Energy Economics, Elsevier, vol. 30(5), pages 2105-2122, September.
    5. Gang Wang & Angappa Gunasekaran, 2017. "Modeling and analysis of sustainable supply chain dynamics," Annals of Operations Research, Springer, vol. 250(2), pages 521-536, March.
    6. Ian W. H. Parry & Margaret Walls & Winston Harrington, 2007. "Automobile Externalities and Policies," Journal of Economic Literature, American Economic Association, vol. 45(2), pages 373-399, June.
    7. Torres, Juan Pablo & Kunc, Martin & O'Brien, Frances, 2017. "Supporting strategy using system dynamics," European Journal of Operational Research, Elsevier, vol. 260(3), pages 1081-1094.
    8. Liu, Shiyong & Triantis, Konstantinos P. & Sarangi, Sudipta, 2010. "A framework for evaluating the dynamic impacts of a congestion pricing policy for a transportation socioeconomic system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(8), pages 596-608, October.
    9. Egilmez, Gokhan & Tatari, Omer, 2012. "A dynamic modeling approach to highway sustainability: Strategies to reduce overall impact," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1086-1096.
    10. Lirong Cui & Haijun Li & Susan Xu, 2014. "Stochastic methods in reliability and risk management," Annals of Operations Research, Springer, vol. 212(1), pages 1-2, January.
    11. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    12. Homer, J.B. & Hirsch, G.B., 2006. "System dynamics modeling for public health: Background and opportunities," American Journal of Public Health, American Public Health Association, vol. 96(3), pages 452-458.
    13. McClure, R.J. & Adriazola-Steil, C. & Mulvihill, C. & Fitzharris, M. & Salmon, P. & Bonnington, C.P. & Stevenson, M., 2015. "Simulating the dynamic effect of land use and transport policies on the health of populations," American Journal of Public Health, American Public Health Association, vol. 105, pages 223-229.
    14. Abbas, Khaled A. & Bell, Michael G. H., 1994. "System dynamics applicability to transportation modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 28(5), pages 373-390, September.
    15. Tsan-Ming Choi & Stein W Wallace & Yulan Wang, 2016. "Risk management and coordination in service supply chains: information, logistics and outsourcing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(2), pages 159-164, February.
    16. Anderson, D. Mark & Rees, Daniel I., 2015. "Per se drugged driving laws and traffic fatalities," International Review of Law and Economics, Elsevier, vol. 42(C), pages 122-134.
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