IDEAS home Printed from https://ideas.repec.org/a/eee/jcjust/v76y2021ics0047235221000660.html
   My bibliography  Save this article

Do everyday proactive policing activities reduce vehicle crashes? Examining a commonly held law enforcement belief using a novel method

Author

Listed:
  • Wu, Xiaoyun
  • Lum, Cynthia
  • Koper, Christopher

Abstract

Traffic accidents present a significant challenge to public safety and are a top priority for many law enforcement agencies in the United States. Empirical studies suggest that police agencies commonly engage in traffic enforcement activities to be proactive, spending much of their downtime patrolling areas with heightened risks for vehicle crashes. Despite the ongoing focus on traffic enforcement in daily police work, the impact of these efforts on traffic accidents remains unclear. The current study uses a Generalized Method of Moments (GMM) framework to examine everyday police proactive work and its impact on vehicle crashes at “hot spots” of collisions in a large suburban jurisdiction. Findings indicate that routine patrol levels and activities produce short-term reductions in crashes at the most serious crash hot spots but have less impact elsewhere. To generate a more sustained and optimal effect on traffic safety, everyday police proactivity needs to be more carefully calibrated in terms of its targeting, dosage, and types of activities.

Suggested Citation

  • Wu, Xiaoyun & Lum, Cynthia & Koper, Christopher, 2021. "Do everyday proactive policing activities reduce vehicle crashes? Examining a commonly held law enforcement belief using a novel method," Journal of Criminal Justice, Elsevier, vol. 76(C).
    • Handle: RePEc:eee:jcjust:v:76:y:2021:i:c:s0047235221000660
    DOI: 10.1016/j.jcrimjus.2021.101846
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0047235221000660
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jcrimjus.2021.101846?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. William Robert Reed, 2015. "On the Practice of Lagging Variables to Avoid Simultaneity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(6), pages 897-905, December.
    2. Castillo-Manzano, José I. & Castro-Nuño, Mercedes & López-Valpuesta, Lourdes & Pedregal, Diego J., 2019. "From legislation to compliance: The power of traffic law enforcement for the case study of Spain," Transport Policy, Elsevier, vol. 75(C), pages 1-9.
    3. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    4. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    5. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    6. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    7. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    8. Kuo, Pei-Fen & Lord, Dominique & Walden, Troy Duane, 2013. "Using geographical information systems to organize police patrol routes effectively by grouping hotspots of crash and crime data," Journal of Transport Geography, Elsevier, vol. 30(C), pages 138-148.
    9. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    10. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. France Desjardins & Martin Lavallière, 2023. "Evaluation of a Road Safety Awareness Campaign Deployed along the Roadside in Saguenay (Québec, Canada)," IJERPH, MDPI, vol. 20(11), pages 1-13, May.
    2. Zhao, Jihong Solomon & Zhang, Yan, 2022. "Proactive policing embedded in two models: A geospatial analysis of proactive activities by patrol officers and COP officers," Journal of Criminal Justice, Elsevier, vol. 82(C).

    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. Scott, K. Rebecca, 2015. "Demand and price uncertainty: Rational habits in international gasoline demand," Energy, Elsevier, vol. 79(C), pages 40-49.
    2. Gulati, Rachita & Goswami, Anju & Kumar, Sunil, 2019. "What drives credit risk in the Indian banking industry? An empirical investigation," Economic Systems, Elsevier, vol. 43(1), pages 42-62.
    3. Arshad Ali Bhatti & M. Emranul Haque & Denise R. Osborn, 2013. "Is the Growth Effect of Financial Development Conditional on Technological Innovation?," Centre for Growth and Business Cycle Research Discussion Paper Series 188, Economics, The University of Manchester.
    4. Roberto Dell'Anno & Adalgiso Amendola, 2015. "Social Exclusion and Economic Growth: An Empirical Investigation in European Economies," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 274-301, June.
    5. Mohcine Bakhat & José M. Labeaga & Xavier Labandeira & Xiral Lñpez, 2013. "Economic Crisis and Elasticities of Car Fuels: Evidence for Spain," Working Papers fa15-2013, Economics for Energy.
    6. Vu, K.M., 2017. "Structural change and economic growth: Empirical evidence and policy insights from Asian economies," Structural Change and Economic Dynamics, Elsevier, vol. 41(C), pages 64-77.
    7. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
    8. Meri Davlasheridze & Pinar C. Geylani, 2017. "Small Business vulnerability to floods and the effects of disaster loans," Small Business Economics, Springer, vol. 49(4), pages 865-888, December.
    9. Dang, Viet Anh & Kim, Minjoo & Shin, Yongcheol, 2015. "In search of robust methods for dynamic panel data models in empirical corporate finance," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 84-98.
    10. Cho, Seo-young & Vadlamannati, Krishna Chaitanya, 2010. "Compliance for big brothers: An empirical analysis on the impact of the anti-trafficking protocol," University of Göttingen Working Papers in Economics 118, University of Goettingen, Department of Economics.
    11. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    12. Alexander Klemm & Stefan Parys, 2012. "Empirical evidence on the effects of tax incentives," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(3), pages 393-423, June.
    13. Tadadjeu, Sosson & Njangang, Henri & Asongu, Simplice A. & Kamguia, Brice, 2023. "Natural resources, child mortality and governance quality in African countries," Resources Policy, Elsevier, vol. 83(C).
    14. Qu, Guangjun & Sylwester, Kevin & Wang, Feng, 2016. "Anticorruption and Growth: Evidence from China," MPRA Paper 72190, University Library of Munich, Germany.
    15. Abdramane Camara, 2023. "The Effect of Foreign Direct Investment on Tax Revenue," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(1), pages 168-190, March.
    16. Mohanty, Biswajit & Bhanumurthy, N. R. & Dastidar, Ananya Ghosh, 2017. "What explains Regional Imbalances in Infrastructure?: Evidence from Indian States," Working Papers 17/197, National Institute of Public Finance and Policy.
    17. Njangang, Henri & Asongu, Simplice A. & Tadadjeu, Sosson & Nounamo, Yann & Kamguia, Brice, 2022. "Governance in mitigating the effect of oil wealth on wealth inequality: A cross-country analysis of policy thresholds," Resources Policy, Elsevier, vol. 76(C).
    18. Emna Trabelsi, 2022. "Macroprudential Transparency and Price Stability in Emerging and Developing Countries," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 11(1), pages 105-129.
    19. Davide Consoli & Francesco Vona & Francesco Rentocchini, 2016. "That was then, this is now: skills and routinization in the 2000s," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(5), pages 847-866.
    20. Abdramane Camara, 2019. "The effect of foreign direct investment on tax revenue in developing countries," Working Papers hal-03188025, HAL.

    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:eee:jcjust:v:76:y:2021:i:c:s0047235221000660. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jcrimjus .

    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.