IDEAS home Printed from https://ideas.repec.org/a/wly/syseng/v13y2010i1p28-46.html
   My bibliography  Save this article

Development of the multiregional inoperability input‐output model (MRIIM) for spatial explicitness in preparedness of interdependent regions

Author

Listed:
  • Kenneth G. Crowther
  • Yacov Y. Haimes

Abstract

Any given region in the US is a complex, interconnected, and interdependent economic system of systems that includes multiple stakeholders, spans multiple sub‐regions, and produces a very large number of commodities and services. This paper provides a holistic, methodological framework with which to model the multisectoral and multiregional economic interdependencies inherent in such a large‐scale and complex system, factors essential to making strategic preparedness decisions. The framework we present extends the Inoperability Input‐Output Model (IIM) [Santos and Haimes, 2004], a model which has been developed to study these large‐scale systems and which has been deployed in various studies. The basic IIM yields only average estimates across geography, and thus may provide insufficient information with which to make decisions about preparedness allocation within and across regions. Such average estimates may lead planners and policy makers to overlook geographically concentrated risks and significant cross‐regional interdependencies, which are critical in evaluating strategic preparedness options. This paper extends the IIM to model the multiregional interdependencies among the various regions in the US by introducing and developing the Multiregional IIM (MRIIM) and by presenting the spatially explicit concepts of intraregional and multiregional interdependency matrices, A* and T*, respectively. The MRIIM possesses important properties that are derived from the databases that support the model and from the construction of the model itself. These properties guarantee unique solutions when studying the cascade of perturbation across regions and guarantee convergence when computational methods are applied. These properties also lead to a notion of resilience that is gained from cross‐regional interdependencies. The major contribution of this paper is to demonstrate the importance of spatial explicitness in interdependency analysis through an example case study. © 2009 Wiley Periodicals, Inc. Syst Eng

Suggested Citation

  • Kenneth G. Crowther & Yacov Y. Haimes, 2010. "Development of the multiregional inoperability input‐output model (MRIIM) for spatial explicitness in preparedness of interdependent regions," Systems Engineering, John Wiley & Sons, vol. 13(1), pages 28-46, March.
    • Handle: RePEc:wly:syseng:v:13:y:2010:i:1:p:28-46
    DOI: 10.1002/sys.20130
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sys.20130
    Download Restriction: no
    File URL: https://libkey.io/10.1002/sys.20130?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
    ---><---

    References listed on IDEAS

    as
    1. Theresa Brown & Walt Beyeler & Dianne Barton, 2004. "Assessing infrastructure interdependencies: the challenge of risk analysis for complex adaptive systems," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 1(1), pages 108-117.
    2. Yasuhide Okuyama & Geoffrey J. D. Hewings & Michael Sonis, 2004. "Measuring Economic Impacts of Disasters: Interregional Input-Output Analysis Using Sequential Interindustry Model," Advances in Spatial Science, in: Yasuhide Okuyama & Stephanie E. Chang (ed.), Modeling Spatial and Economic Impacts of Disasters, chapter 5, pages 77-101, Springer.
    3. R. Keith Schwer & Dan S. Rickman, 1995. "A comparison of the multipliers of IMPLAN, REMI, and RIMS II: Benchmarking ready-made models for comparison," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 29(4), pages 363-374.
    4. Kenneth G. Crowther & Yacov Y. Haimes & Gideon Taub, 2007. "Systemic Valuation of Strategic Preparedness Through Application of the Inoperability Input‐Output Model with Lessons Learned from Hurricane Katrina," Risk Analysis, John Wiley & Sons, vol. 27(5), pages 1345-1364, October.
    5. Adrian Esparza & Andrew J. Krmenec, 1996. "The Spatial Extent of Producer Service Markets: Hierarchical Models of Interaction Revisited," Papers in Regional Science, Wiley Blackwell, vol. 75(3), pages 375-395, July.
    6. Chenyang Lian & Yacov Y. Haimes, 2006. "Managing the risk of terrorism to interdependent infrastructure systems through the dynamic inoperability input–output model," Systems Engineering, John Wiley & Sons, vol. 9(3), pages 241-258, September.
    7. Sharon M. Brucker & Steven E. Hastings & William R. Latham III, 1990. "The Variation of Estimated Impacts from Five Regional Input-Output Models," International Regional Science Review, , vol. 13(1-2), pages 119-139, April.
    8. Chenyang Lian & Joost R. Santos & Yacov Y. Haimes, 2007. "Extreme Risk Analysis of Interdependent Economic and Infrastructure Sectors," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 1053-1064, August.
    9. Yossi Sheffi, 2005. "The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262693496, December.
    10. Harold C. Cochrane, 2004. "Indirect Losses from Natural Disasters: Measurement and Myth," Advances in Spatial Science, in: Yasuhide Okuyama & Stephanie E. Chang (ed.), Modeling Spatial and Economic Impacts of Disasters, chapter 3, pages 37-52, Springer.
    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. Muhammad Abdullah Khalid & Yousaf Ali, 2020. "Economic impact assessment of natural disaster with multi-criteria decision making for interdependent infrastructures," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(8), pages 7287-7311, December.
    2. Barker, Kash & Santos, Joost R., 2010. "Measuring the efficacy of inventory with a dynamic input-output model," International Journal of Production Economics, Elsevier, vol. 126(1), pages 130-143, July.
    3. Iman Rahimi Aloughareh & Mohsen Ghafory Ashtiany & Kiarash Nasserasadi, 2016. "An Integrated Methodology For Regional Macroeconomic Loss Estimation Of Earthquake: A Case Study Of Tehran," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(04), pages 1-24, September.
    4. Jonkman, S.N. & Bockarjova, M. & Kok, M. & Bernardini, P., 2008. "Integrated hydrodynamic and economic modelling of flood damage in the Netherlands," Ecological Economics, Elsevier, vol. 66(1), pages 77-90, May.
    5. Joanna Resurreccion & Joost Santos, 2013. "Uncertainty modeling of hurricane-based disruptions to interdependent economic and infrastructure systems," 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. 69(3), pages 1497-1518, December.
    6. Lu, Qing-Chang & Xu, Peng-Cheng & Zhao, Xiangmo & Zhang, Lei & Li, Xiaoling & Cui, Xin, 2022. "Measuring network interdependency between dependent networks: A supply-demand-based approach," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    7. Pradeep V. Mandapaka & Edmond Y. M. Lo, 2023. "Assessing Shock Propagation and Cascading Uncertainties Using the Input–Output Framework: Analysis of an Oil Refinery Accident in Singapore," Sustainability, MDPI, vol. 15(2), pages 1-24, January.
    8. Jalal Ali & Joost R. Santos, 2015. "Modeling the Ripple Effects of IT‐Based Incidents on Interdependent Economic Systems," Systems Engineering, John Wiley & Sons, vol. 18(2), pages 146-161, March.
    9. Feiyi Luo & Zhengfeng Huang & Pengjun Zheng, 2022. "A Study on the Decay Model of Multi-Block Taxi Travel Demand under the Influence of Major Urban Public Health Events," IJERPH, MDPI, vol. 19(6), pages 1-19, March.
    10. Jian Jin & Haoran Zhou, 2023. "A Demand-Side Inoperability Input–Output Model for Strategic Risk Management: Insight from the COVID-19 Outbreak in Shanghai, China," Sustainability, MDPI, vol. 15(5), pages 1-22, February.
    11. Cottafava, Dario & Gastaldo, Michele & Quatraro, Francesco & Santhiá, Cristina, 2022. "Modeling economic losses and greenhouse gas emissions reduction during the COVID-19 pandemic: Past, present, and future scenarios for Italy," Economic Modelling, Elsevier, vol. 110(C).
    12. Linn Svegrup & Jonas Johansson & Henrik Hassel, 2019. "Integration of Critical Infrastructure and Societal Consequence Models: Impact on Swedish Power System Mitigation Decisions," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 1970-1996, September.
    13. Yacov Y. Haimes & Kenneth Crowther & Barry M. Horowitz, 2008. "Homeland security preparedness: Balancing protection with resilience in emergent systems," Systems Engineering, John Wiley & Sons, vol. 11(4), pages 287-308, December.
    14. Boisvert, Richard N. & Kay, David & Turvey, Calum G., 2012. "Macroeconomic costs to large scale disruptions of food production: The case of foot- and-mouth disease in the United States," Economic Modelling, Elsevier, vol. 29(5), pages 1921-1930.
    15. Yaseen, Qazi Muhammad & Akhtar, Rehman & Khalil, Muhammad Kaleem Ullah & Usman Jan, Qazi Muhammad, 2020. "Dynamic inoperability input-output modeling for economic losses estimation in industries during flooding," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    16. Kenneth G. Crowther & Yacov Y. Haimes & Gideon Taub, 2007. "Systemic Valuation of Strategic Preparedness Through Application of the Inoperability Input‐Output Model with Lessons Learned from Hurricane Katrina," Risk Analysis, John Wiley & Sons, vol. 27(5), pages 1345-1364, October.
    17. Krista Danielle S. Yu & Raymond R. Tan & Kathleen B. Aviso & Michael Angelo B. Promentilla & Joost R. Santos, 2014. "A Vulnerability Index For Post-Disaster Key Sector Prioritization," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 81-97, March.
    18. Joanna Resurreccion & Joost R. Santos, 2012. "Multiobjective Prioritization Methodology and Decision Support System for Evaluating Inventory Enhancement Strategies for Disrupted Interdependent Sectors," Risk Analysis, John Wiley & Sons, vol. 32(10), pages 1673-1692, October.
    19. Wenping Xu & Zongjun Wang & Liu Hong & Ligang He & Xueguang Chen, 2015. "The uncertainty recovery analysis for interdependent infrastructure systems using the dynamic inoperability input–output model," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(7), pages 1299-1306, May.
    20. Aziz Barhmi & Omar Hajaji, 2023. "Multidisciplinary Approach to Supply Chain Resilience: Conceptualization and Scale Development," Central European Business Review, Prague University of Economics and Business, vol. 2023(5), pages 43-69.

    More about this item

    Statistics

    Access and download statistics

    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:wly:syseng:v:13:y:2010:i:1:p:28-46. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1520-6858 .

    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.