Volume 13 Issue 6
Feb.  2023
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Mitchel Stimers Ph. D., Sisira Lenagala M. S., Brandon Haddock Ph. D., Bimal Kanti Paul Ph. D., Rhett Mohler Ph. D.. Space-Time Clustering with the Space-Time Permutation Model in SaTScan™ Applied to Building Permit Data Following the 2011 Joplin, Missouri Tornado[J]. International Journal of Disaster Risk Science, 2022, 13(6): 962-973. doi: 10.1007/s13753-022-00456-9
Citation: Mitchel Stimers Ph. D., Sisira Lenagala M. S., Brandon Haddock Ph. D., Bimal Kanti Paul Ph. D., Rhett Mohler Ph. D.. Space-Time Clustering with the Space-Time Permutation Model in SaTScan™ Applied to Building Permit Data Following the 2011 Joplin, Missouri Tornado[J]. International Journal of Disaster Risk Science, 2022, 13(6): 962-973. doi: 10.1007/s13753-022-00456-9

Space-Time Clustering with the Space-Time Permutation Model in SaTScan™ Applied to Building Permit Data Following the 2011 Joplin, Missouri Tornado

doi: 10.1007/s13753-022-00456-9

The authors acknowledge the City Clerk’s Office of Joplin, MO, for providing the permit data used in this research.

  • Received Date: 2022-11-13
  • Accepted Date: 2022-11-13
  • Available Online: 2023-02-09
  • Publish Date: 2022-12-06
  • Community recovery from a major natural hazard-related disaster can be a long process, and rebuilding likely does not occur uniformly across space and time. Spatial and temporal clustering may be evident in certain data types that can be used to frame the progress of recovery following a disaster. Publically available building permit data from the city of Joplin, Missouri, were gathered for four permit types, including residential, commercial, roof repair, and demolition. The data were used to (1) compare the observed versus expected frequency (chi-square) of permit issuance before and after the EF5 2011 tornado; (2), determine if significant space-time clusters of permits existed using the SaTScanTM cluster analysis program (version 9.7); and (3) fit any emergent cluster data to the widely-cited Kates 10-year recovery model. All permit types showed significant increases in issuance for at least 5 years following the event, and one (residential) showed significance for nine of the 10 years. The cluster analysis revealed a total of 16 significant clusters across the 2011 damage area. The results of fitting the significant cluster data to the Kates model revealed that those data closely followed the model, with some variation in the residential permit data path.
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  • Alexander, D.E. 2002. Principles of emergency planning and management. Oxford, UK:Oxford University Press.
    Chamlee-Wright, E.L., and V.H. Storr. 2008. The entrepreneur's role in post-disaster community recovery:Implications for post-disaster recovery policy. Mercatus Policy Series, Policy Primer No. 6. George Mason University, Fairfax, Virginia, USA. https://www.mercatus.org/system/files/MPS_PP6_community_and_entrepreneurs-web.pdf. Accessed 18 May 2022.
    Comerio, M.C. 2006. Estimating downtime in loss modeling. Earthquake Spectra 22(2):349-365.
    Comerio, M., and H. Blecher. 2010. Downtime data on residential buildings after the Northridge and Loma Prieta earthquakes. In Proceedings of the 9th U.S. National and 10th Canadian Conference on Earthquake Engineering, 25-29 July 2010, Toronto, Canada.
    Cui, Y., D. Liang, and B.T. Ewing. 2015. Empirical analysis of building permits in response to hurricane landfalls. Natural Hazards Review 16(4):1-10.
    Duque, J.C., H. Laniado, and A. Polo. 2018. S-maup:Statistical test to measure the sensitivity to the modifiable areal unit problem. PLoS One 13(11):e0207377.
    Grazulis, T.P. 1993. Significant tornadoes, 1680-1991. St. Johnsbury, VT:Environmental Films.
    Hammersley, J.M., and D. Handscomb. 1964. Monte Carlo methods. London:Methuen & Co.
    Han, J., L. Zhu, M. Kulldorff, S. Hostovich, D.G. Stinchcomb, Z. Tatalovich, D.R. Lewis, and E.J. Feuer. 2016. Using Gini coefficient to determining optimal cluster reporting sizes for spatial scan statistics. International Journal of Health Geographics 15(1):Article 27.
    Hashemi-Parast, S.O., F. Yamazaki, and W. Liu. 2017. Monitoring and evaluation of the urban reconstruction process in Bam, Iran, after the 2003 Mw 6.6 earthquake. Natural Hazards 85(1):197-213.
    Kates, R.W. 1977. Major insights:A summary and recommendations. In Reconstruction following disaster, ed. J.E. Haas, R.W. Kates, and M.J. Bowden, 261-293. Cambridge, MA:The MIT Press.
    Kates, R.W., C.E. Colten, S. Laska, and S.P. Leatherman. 2006. Reconstruction of New Orleans after Hurricane Katrina:A research perspective. Proceedings of the National Academy of Sciences 103(40):14653-14660.
    Kulldorff, M. 1997. A spatial scan statistic. Communications in Statistics, Theory, and Methods 26(6):1481-1496.
    Kulldorff, M. 2021. SaTScanTM user guide for version 9.7. https://www.satscan.org/cgi-bin/satscan/register.pl/SaTScan_Users_Guide.pdf?todo=process_userguide_download. Accessed 18 May 2022.
    Kulldorff, M., R. Heffernan, J. Hartman, R.M. Assunção, and F. Mostashari. 2005. A space-time permutation scan statistic for the early detection of disease outbreaks. PLoS Medicine 2:216-224.
    Lee, S., J. Moon, and I. Jung. 2021. Optimizing the maximum reported cluster size in the spatial scan statistic for survival data. International Journal of Health Geographics 20(1):1-14.
    Maslow, A.H. 1943. A theory of human motivation. Psychological Review 50(4):370-396.
    McCarthy, K.F., and M.A. Hanson. 2008. Post-Katrina recovery of the housing market along the Mississippi Gulf Coast, No. 511. Santa Monica, CA:Rand Corporation. https://www.rand.org/pubs/technical_reports/TR511.html. Accessed 18 May 2022.
    Openshaw, S. 1978. An empirical study of some zone-design criteria. Environment and Planning A 10(7):781-794.
    Openshaw, S., and P.J. Taylor. 1979. A million or so correlation coefficients, three experiments on the modifiable areal unit problem. Statistical Applications in the Spatial Science 21:127-144.
    O'Sullivan, D., and D. Unwin. 2003. Geographic information analysis. New York, NY:John Wiley & Sons.
    Paul, B.K, and M.J. Stimers. 2011. Tornado warnings and circumstance of deaths:The case of 22 May 2011 tornado in Joplin, Missouri. Quick Response Report QR226. The Natural Hazards Research Center, Institute of Behavioral Science, Colorado University, Boulder, CO, USA. https://hazards.colorado.edu/uploads/quick_report/paul_2011.pdf. Accessed 18 May 2022.
    Paul, B.K., and M.J. Stimers. 2012. Exploring probable reasons for record fatalities:The case of 2011 Joplin, Missouri, Tornado. Natural Hazards 64(2):1511-1526.
    Paul, B.K., and M.J. Stimers. 2014. Spatial analyses of the 2011 Joplin tornado mortality:Deaths by interpolated damage zones and location of victims. Weather, Climate, and Society 6(2):161-174.
    Peacock, W.G., H. Gladwin, and B.H. Morrow. 1997. Hurricane Andrew:Ethnicity, gender and the sociology of disasters. New York, NY:Routledge.
    Quarantelli, E. 1982. Sheltering and housing after major community disasters:Case studies and general conclusions. Disaster Research Center, Ohio State University, Columbus, OH, USA. https://udspace.udel.edu/handle/19716/1132. Accessed 18 May 2022.
    Rathfon, D., R. Davidson, J. Bevington, A. Vicini, and A. Hill. 2013. Quantitative assessment of post-disaster housing recovery:A case study of Punta Gorda, Florida, after Hurricane Charley. Disasters 37(2):333-355.
    Santos, J.R., K.D.S. Yu, S.A.T. Pagsuyoin, and R.R. Tan. 2014. Time-varying disaster recovery model for interdependent economic systems using hybrid input-output and event tree analysis. Economic Systems Research 26(1):60-80.
    Simmons, K., and D. Sutter. 2011. Economic and societal impact of tornadoes. Boston, MA:American Meteorological Society.
    Simmons, K., and D. Sutter. 2012. Deadly season:Analysis of the 2011 tornado outbreaks. Boston, MA:American Meteorological Society.
    SPC (Storm Prediction Center). 2021. Storm Prediction Center WCM Page. https://www.spc.noaa.gov/wcm/. Accessed 18 May 2022.
    Smith, D.J., and D. Sutter. 2013. Response and recovery after the Joplin tornado:Lessons applied and lessons learned. The Independent Review 18(2):165-188.
    Stevenson, J.R., C.T. Emrich, J.T. Mitchell, and S.L. Cutter. 2010. Using building permits to monitor disaster recovery:A spatio-temporal case study of coastal Mississippi following Hurricane Katrina. Cartography and Geographic Information Science 37(1):57-68.
    USCB (United States Census Bureau). 2021. Decennial census of population and housing datasets. https://www.census.gov/programs-surveys/decennial-census/data/datasets.2010.html. Accessed 18 May 2022.
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