IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v124y2019icp332-345.html
   My bibliography  Save this article

Investing in collaboration for safety: Assessing grants to states for oil and gas distribution pipeline safety program enhancement

Author

Listed:
  • Scott, Ryan P.
  • Scott, Tyler A.

Abstract

Oil and gas pipeline leaks are the responsibility of a wide range of stakeholders including utilities, the public, construction firms and state safety program personnel. As a result, in the United State, state pipeline safety programs focus heavily on public education, outreach, and stakeholder participation so as to reduce the occurrence of these events. The US Pipeline & Hazardous Materials Safety Administration (PHMSA) directs federal support to state safety efforts through formula and project grant programs for state and local agencies that emphasize different aspects of collaboration. We combine these grant data with nationwide, longitudinal records on pipeline leaks, and use a multilevel Bayesian model to evaluate how different grant emphases relate to subsequent incident rates. State damage prevention grants are not associated with reductions in leaks but are associated with improvements in error recognition. Pipeline incidents are downstream from safety programs and impacts and identifying, minimizing, and correcting leaks requires states to motivate utility actions while also attempting to improve public awareness. This makes assessment of safety outcomes a challenge without better tracking of safety program communications and participation. In conclusion, we suggest improvements to data provision by states that could provide improved evidence for assessing safety improvements.

Suggested Citation

  • Scott, Ryan P. & Scott, Tyler A., 2019. "Investing in collaboration for safety: Assessing grants to states for oil and gas distribution pipeline safety program enhancement," Energy Policy, Elsevier, vol. 124(C), pages 332-345.
    • Handle: RePEc:eee:enepol:v:124:y:2019:i:c:p:332-345
    DOI: 10.1016/j.enpol.2018.10.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421518306591
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2018.10.007?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. Anna Christine Osland, 2015. "Building hazard resilience through collaboration: the role of technical partnerships in areas with hazardous liquid and natural gas transmission pipelines," Environment and Planning A, , vol. 47(5), pages 1063-1080, May.
    2. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273, September.
    3. Martins, Thiago G. & Simpson, Daniel & Lindgren, Finn & Rue, Håvard, 2013. "Bayesian computing with INLA: New features," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 68-83.
    4. Li, Hui & Yi, Hongtao, 2014. "Multilevel governance and deployment of solar PV panels in U.S. cities," Energy Policy, Elsevier, vol. 69(C), pages 19-27.
    5. Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
    6. Hammar, Henrik & Löfgren, Åsa, 2010. "Explaining adoption of end of pipe solutions and clean technologies--Determinants of firms' investments for reducing emissions to air in four sectors in Sweden," Energy Policy, Elsevier, vol. 38(7), pages 3644-3651, July.
    7. Ansar, Atif & Flyvbjerg, Bent & Budzier, Alexander & Lunn, Daniel, 2014. "Should we build more large dams? The actual costs of hydropower megaproject development," Energy Policy, Elsevier, vol. 69(C), pages 43-56.
    8. Borchers, Allison M. & Xiarchos, Irene & Beckman, Jayson, 2014. "Determinants of wind and solar energy system adoption by U.S. farms: A multilevel modeling approach," Energy Policy, Elsevier, vol. 69(C), pages 106-115.
    9. Scott, Ryan P., 2018. "Should we call the neighbors? Voluntary deliberation and citizen complaints about oil and gas drilling," Energy Policy, Elsevier, vol. 115(C), pages 258-272.
    10. Gravelle, Timothy B. & Lachapelle, Erick, 2015. "Politics, proximity and the pipeline: Mapping public attitudes toward Keystone XL," Energy Policy, Elsevier, vol. 83(C), pages 99-108.
    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. Scott, Ryan P. & Scott, Tyler A. & Greer, Robert A., 2019. "The environmental and safety performance of gas utilities in the United States," Energy Policy, Elsevier, vol. 133(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. Nikoline N. Knudsen & Jörg Schullehner & Birgitte Hansen & Lisbeth F. Jørgensen & Søren M. Kristiansen & Denitza D. Voutchkova & Thomas A. Gerds & Per K. Andersen & Kristine Bihrmann & Morten Grønbæk , 2017. "Lithium in Drinking Water and Incidence of Suicide: A Nationwide Individual-Level Cohort Study with 22 Years of Follow-Up," IJERPH, MDPI, vol. 14(6), pages 1-13, June.
    2. Cho, Daegon & Hwang, Youngdeok & Park, Jongwon, 2018. "More buzz, more vibes: Impact of social media on concert distribution," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 103-113.
    3. Brown, Paul T. & Joshi, Chaitanya & Joe, Stephen & Rue, Håvard, 2021. "A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations," Computational Statistics & Data Analysis, Elsevier, vol. 157(C).
    4. Mayer Alvo & Jingrui Mu, 2023. "COVID-19 Data Analysis Using Bayesian Models and Nonparametric Geostatistical Models," Mathematics, MDPI, vol. 11(6), pages 1-13, March.
    5. David Jiménez-Hernández & Víctor González-Calatayud & Ana Torres-Soto & Asunción Martínez Mayoral & Javier Morales, 2020. "Digital Competence of Future Secondary School Teachers: Differences According to Gender, Age, and Branch of Knowledge," Sustainability, MDPI, vol. 12(22), pages 1-16, November.
    6. Zhao, Ge & Zhou, P. & Wen, Wen, 2021. "Feed-in tariffs, knowledge stocks and renewable energy technology innovation: The role of local government intervention," Energy Policy, Elsevier, vol. 156(C).
    7. Aaron Osgood‐Zimmerman & Jon Wakefield, 2023. "A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling," International Statistical Review, International Statistical Institute, vol. 91(2), pages 318-342, August.
    8. Luca Grassetti & Laura Rizzi, 2019. "The determinants of individual health care expenditures in the Italian region of Friuli Venezia Giulia: evidence from a hierarchical spatial model estimation," Empirical Economics, Springer, vol. 56(3), pages 987-1009, March.
    9. Muff, Stefanie & Ott, Manuela & Braun, Julia & Held, Leonhard, 2017. "Bayesian two-component measurement error modelling for survival analysis using INLA—A case study on cardiovascular disease mortality in Switzerland," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 177-193.
    10. Gressani, Oswaldo & Lambert, Philippe, 2021. "Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    11. Ferreira, Marco A.R. & Porter, Erica M. & Franck, Christopher T., 2021. "Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects," Computational Statistics & Data Analysis, Elsevier, vol. 162(C).
    12. Sameh Abdulah & Yuxiao Li & Jian Cao & Hatem Ltaief & David E. Keyes & Marc G. Genton & Ying Sun, 2023. "Large‐scale environmental data science with ExaGeoStatR," Environmetrics, John Wiley & Sons, Ltd., vol. 34(1), February.
    13. John M. Humphreys & Robert B. Srygley & David H. Branson, 2022. "Geographic Variation in Migratory Grasshopper Recruitment under Projected Climate Change," Geographies, MDPI, vol. 2(1), pages 1-19, January.
    14. John M. Humphreys, 2022. "Amplification in Time and Dilution in Space: Partitioning Spatiotemporal Processes to Assess the Role of Avian-Host Phylodiversity in Shaping Eastern Equine Encephalitis Virus Distribution," Geographies, MDPI, vol. 2(3), pages 1-16, July.
    15. Tyler A. Scott & Nicola Ulibarri & Ryan P. Scott, 2020. "Stakeholder involvement in collaborative regulatory processes: Using automated coding to track attendance and actions," Regulation & Governance, John Wiley & Sons, vol. 14(2), pages 219-237, April.
    16. Matthew Yap & Matthew Tuson & Berwin Turlach & Bryan Boruff & David Whyatt, 2021. "Modelling the Relationship between Rainfall and Mental Health Using Different Spatial and Temporal Units," IJERPH, MDPI, vol. 18(3), pages 1-15, February.
    17. Humphreys, John M. & Srygley, Robert B. & Lawton, Douglas & Hudson, Amy R. & Branson, David H., 2022. "Grasshoppers exhibit asynchrony and spatial non-stationarity in response to the El Niño/Southern and Pacific Decadal Oscillations," Ecological Modelling, Elsevier, vol. 471(C).
    18. Christian P. Robert, 2013. "Bayesian Computational Tools," Working Papers 2013-45, Center for Research in Economics and Statistics.
    19. Rachel Lowe & Joan Ballester & James Creswick & Jean-Marie Robine & François R. Herrmann & Xavier Rodó, 2015. "Evaluating the Performance of a Climate-Driven Mortality Model during Heat Waves and Cold Spells in Europe," IJERPH, MDPI, vol. 12(2), pages 1-16, January.
    20. Yuheng Ling, 2020. "Time, space and hedonic prediction accuracy: evidence from Corsican apartment markets," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 367-388, April.

    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:enepol:v:124:y:2019:i:c:p:332-345. 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/enpol .

    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.