IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v291y2020i1d10.1007_s10479-018-2961-5.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-018-2961-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-018-2961-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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).
    3. Anderson, D. Mark & Rees, Daniel I., 2012. "Per Se Drugged Driving Laws and Traffic Fatalities," IZA Discussion Papers 7048, Institute of Labor Economics (IZA).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bergeaud, Antonin & Raimbault, Juste, 2020. "An empirical analysis of the spatial variability of fuel prices in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 131-143.
    2. Liddle, Brantley & Parker, Steven, 2022. "One more for the road: Reconsidering whether OECD gasoline income and price elasticities have changed over time," Energy Economics, Elsevier, vol. 114(C).
    3. Lewe, J.-H. & Hivin, L.F. & Mavris, D.N., 2014. "A multi-paradigm approach to system dynamics modeling of intercity transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 188-202.
    4. Charles Raux, 2011. "Downstream Emissions Trading for Transport," Transportation Research, Economics and Policy, in: Werner Rothengatter & Yoshitsugu Hayashi & Wolfgang Schade (ed.), Transport Moving to Climate Intelligence, chapter 0, pages 209-226, Springer.
    5. Shanjun Li & Joshua Linn & Erich Muehlegger, 2014. "Gasoline Taxes and Consumer Behavior," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 302-342, November.
    6. Lucas W. Davis, 2017. "The Environmental Cost of Global Fuel Subsidies," The Energy Journal, International Association for Energy Economics, vol. 0(KAPSARC S).
    7. Yuliya Lovcha & Alejandro Perez-Laborda, 2017. "Structural shocks and dynamic elasticities in a long memory model of the US gasoline retail market," Empirical Economics, Springer, vol. 53(2), pages 405-422, September.
    8. Noel, Michael D. & Roach, Travis, 2017. "Marginal reductions in vehicle emissions under a dual-blend ethanol mandate: Evidence from a natural experiment," Energy Economics, Elsevier, vol. 64(C), pages 45-54.
    9. Scott, K. Rebecca, 2015. "Demand and price uncertainty: Rational habits in international gasoline demand," Energy, Elsevier, vol. 79(C), pages 40-49.
    10. Sallee, James M. & West, Sarah E. & Fan, Wei, 2016. "Do consumers recognize the value of fuel economy? Evidence from used car prices and gasoline price fluctuations," Journal of Public Economics, Elsevier, vol. 135(C), pages 61-73.
    11. Yingyi Huang & Yuliya Mamatok & Chun Jin, 2021. "Decision-making instruments for container seaport sustainable development: management platform and system dynamics model," Environment Systems and Decisions, Springer, vol. 41(2), pages 212-226, June.
    12. Britt Groosman & Nicholas Muller & Erin O’Neill-Toy, 2011. "The Ancillary Benefits from Climate Policy in the United States," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(4), pages 585-603, December.
    13. John Coglianese & Lucas W. Davis & Lutz Kilian & James H. Stock, 2017. "Anticipation, Tax Avoidance, and the Price Elasticity of Gasoline Demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 1-15, January.
    14. Donna, Javier D., 2018. "Measuring Long-Run Price Elasticities in Urban Travel Demand," MPRA Paper 90059, University Library of Munich, Germany.
    15. James D. Hamilton, 2009. "Causes and Consequences of the Oil Shock of 2007-08," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 40(1 (Spring), pages 215-283.
    16. Melo, Patricia C. & Ramli, Ahmad Razi, 2014. "Estimating fuel demand elasticities to evaluate CO2 emissions: Panel data evidence for the Lisbon Metropolitan Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 30-46.
    17. Baumeister, Christiane & Hamilton, James, 2017. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Deman," CEPR Discussion Papers 12532, C.E.P.R. Discussion Papers.
    18. James M. Sallee, 2019. "Pigou Creates Losers: On the Implausibility of Achieving Pareto Improvements from Efficiency-Enhancing Policies," NBER Working Papers 25831, National Bureau of Economic Research, Inc.
    19. Christiane Baumeister & James D. Hamilton, 2019. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks," American Economic Review, American Economic Association, vol. 109(5), pages 1873-1910, May.
    20. Hunt Allcott & Nathan Wozny, 2014. "Gasoline Prices, Fuel Economy, and the Energy Paradox," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 779-795, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:291:y:2020:i:1:d:10.1007_s10479-018-2961-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.