IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v81y2016i3d10.1007_s11069-016-2159-6.html
   My bibliography  Save this article

Virtual Inspector and its application to immediate pre-event and post-event earthquake loss and safety assessment of buildings

Author

Listed:
  • Judith Mitrani-Resier

    (Johns Hopkins University)

  • Stephen Wu

    (California Institute of Technology)

  • James L. Beck

    (California Institute of Technology)

Abstract

We previously introduced the Virtual Inspector, which is a decision-support system that follows current US guidelines for post-earthquake damage and safety evaluation of buildings in order to calculate probabilities that a building will be tagged with red, yellow or green safety placards after earthquake shaking of the building. The procedure is based on an existing probabilistic methodology for performance-based earthquake engineering that involves four analysis stages: hazard, structural, damage and loss analyses. In this paper, we propose to integrate the Virtual Inspector into an automated system for immediate pre- and post-earthquake loss and safety assessment in a building. This system could be combined with an earthquake early warning system to assist in an automated decision analysis for initiating safety and loss mitigation actions just before the arrival of earthquake shaking at the building site. The Virtual Inspector can also be used immediately after strong earthquake shaking to provide an automated probabilistic safety and loss assessment to support risk decision making related to possible building closure and the cost of recovery to bring the building back to an operating condition. The proposed theory for these extensions of the Virtual Inspector is illustrated using an example based on a previously studied benchmark office building.

Suggested Citation

  • Judith Mitrani-Resier & Stephen Wu & James L. Beck, 2016. "Virtual Inspector and its application to immediate pre-event and post-event earthquake loss and safety assessment of buildings," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1861-1878, April.
  • Handle: RePEc:spr:nathaz:v:81:y:2016:i:3:d:10.1007_s11069-016-2159-6
    DOI: 10.1007/s11069-016-2159-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-016-2159-6
    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/s11069-016-2159-6?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. Janusz R. Mrozek & Laura O. Taylor, 2002. "What determines the value of life? a meta-analysis," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 21(2), pages 253-270.
    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. Schaffner, Sandra & Spengler, Hannes, 2005. "Der Einfluss unbeobachteter Heterogenität auf kompensatorische Lohndifferentiale und den Wert eines Statistischen Lebens: Eine mikroökonometrische Parallelanalyse mit IABS und SOEP," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 36800, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Nicolai V. Kuminoff, 2018. "Can Understanding Spatial Equilibria Enhance Benefit Transfers for Environmental Policy Evaluation?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(3), pages 591-608, March.
    3. Aaron Sojourner, "undated". "Partial identification of willingness-to-pay using shape restrictions with an application to the value of a statistical life," Working Papers 0110, Human Resources and Labor Studies, University of Minnesota (Twin Cities Campus).
    4. Moeltner, Klaus & Boyle, Kevin J. & Paterson, Robert W., 2007. "Meta-analysis and benefit transfer for resource valuation-addressing classical challenges with Bayesian modeling," Journal of Environmental Economics and Management, Elsevier, vol. 53(2), pages 250-269, March.
    5. Stavins, Robert, 2004. "Environmental Economics," RFF Working Paper Series dp-04-54, Resources for the Future.
    6. Groot, Wim & Maassen van den Brink, Henriette, 2007. "The health effects of education," Economics of Education Review, Elsevier, vol. 26(2), pages 186-200, April.
    7. James Hammitt & Jin-Tan Liu, 2004. "Effects of Disease Type and Latency on the Value of Mortality Risk," Journal of Risk and Uncertainty, Springer, vol. 28(1), pages 73-95, January.
    8. Newbold, Stephen C. & Johnston, Robert J., 2020. "Valuing non-market valuation studies using meta-analysis: A demonstration using estimates of willingness-to-pay for water quality improvements," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    9. Nicholas Z. Muller, 2014. "Toward the Measurement of Net Economic Welfare: Air Pollution Damage in the US National Accounts–2002, 2005, 2008," NBER Chapters, in: Measuring Economic Sustainability and Progress, pages 429-459, National Bureau of Economic Research, Inc.
    10. Emanuele Massetti & Robert Mendelsohn, 2011. "Estimating Ricardian Models With Panel Data," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 2(04), pages 301-319.
    11. Bergstrom, John C. & Taylor, Laura O., 2006. "Using meta-analysis for benefits transfer: Theory and practice," Ecological Economics, Elsevier, vol. 60(2), pages 351-360, December.
    12. Chanel, Olivier & Chichilnisky, Graciela, 2013. "Valuing life: Experimental evidence using sensitivity to rare events," Ecological Economics, Elsevier, vol. 85(C), pages 198-205.
    13. Pistochini, Theresa & Mande, Caton & Modera, Mark & Outcault, Sarah & Sanguinetti, Angela & Chan, Wanyu Rengie & Dutton, Spencer & Singer, Brett & Li, Xiwang, 2020. "Improving Ventilation and Indoor Environmental Quality in California K-12 Schools," Institute of Transportation Studies, Working Paper Series qt1jp1q4xb, Institute of Transportation Studies, UC Davis.
    14. Blackman, Allen & Chandru, Santosh & Mendoza-Domínguez, Alberto & Russell, A.G., 2012. "Health impacts of power-exporting plants in northern Mexico," Energy Policy, Elsevier, vol. 44(C), pages 34-45.
    15. Fredrik Carlsson & Dinky Daruvala & Henrik Jaldell, 2010. "Value of Statistical Life and Cause of Accident: A Choice Experiment," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 975-986, June.
    16. Kevin Haninger & James K. Hammitt, 2011. "Diminishing Willingness to Pay per Quality‐Adjusted Life Year: Valuing Acute Foodborne Illness," Risk Analysis, John Wiley & Sons, vol. 31(9), pages 1363-1380, September.
    17. Smith, V. Kerry & Pattanayak, Subhrendu K. & Van Houtven, George L., 2003. "VSL reconsidered: what do labor supply estimates reveal about risk preferences?," Economics Letters, Elsevier, vol. 80(2), pages 147-153, August.
    18. Matthew Cole & Robert Elliott & Joanne Lindley, 2009. "Dirty money: Is there a wage premium for working in a pollution intensive industry?," Journal of Risk and Uncertainty, Springer, vol. 39(2), pages 161-180, October.
    19. Henrik Andersson & Nicolas Treich, 2011. "The Value of a Statistical Life," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 17, Edward Elgar Publishing.
    20. Groot, Wim & van den Brink, Henriette Maassen, 2007. "Optimism, pessimism and the compensating income variation of cardiovascular disease: A two-tiered quality of life stochastic frontier model," Social Science & Medicine, Elsevier, vol. 65(7), pages 1479-1489, October.

    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:nathaz:v:81:y:2016:i:3:d:10.1007_s11069-016-2159-6. 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.