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    Correcting <i>HAZUS</i> General Building Stock Structural Replacement Cost Data for Single-Family Residences

    Source: Natural Hazards Review:;2017:;Volume ( 018 ):;issue: 004
    Author:
    Steven Shultz
    DOI: 10.1061/(ASCE)NH.1527-6996.0000261
    Publisher: American Society of Civil Engineers
    Abstract: Alternative approaches are taken to correct HAZUS General Building Stock (HGBS) replacement cost data for single-family residences in Sarpy County, Nebraska, which are 92% higher than tax assessor estimates of depreciated structural replacement values (DSRVs). First, HGBS costs were reduced by 92% across all census blocks, resulting in mean block-level HGBS–assessor differences of −31% with a standard deviation of 144%. Second, DSRVs were regressed against non-cost-related HGBS data at the block level via six alternative model specifications, resulting in R2 values of 0.59–0.68. The preferred model based on HGBS square footage and other census-based data resulted in predicted HGBS replacement costs on average being 29% higher than DSRVs, although the standard deviation of the differences was 380%. Finally, regressing DSRVs against tax assessor building square footage data resulted in a R2 value of 0.96 and an underprediction of actual DSRVs across blocks by only 12%, with a correspondingly low standard deviation of 48%.
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      Correcting <i>HAZUS</i> General Building Stock Structural Replacement Cost Data for Single-Family Residences

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4237512
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    contributor authorSteven Shultz
    date accessioned2017-12-16T09:01:15Z
    date available2017-12-16T09:01:15Z
    date issued2017
    identifier other%28ASCE%29NH.1527-6996.0000261.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4237512
    description abstractAlternative approaches are taken to correct HAZUS General Building Stock (HGBS) replacement cost data for single-family residences in Sarpy County, Nebraska, which are 92% higher than tax assessor estimates of depreciated structural replacement values (DSRVs). First, HGBS costs were reduced by 92% across all census blocks, resulting in mean block-level HGBS–assessor differences of −31% with a standard deviation of 144%. Second, DSRVs were regressed against non-cost-related HGBS data at the block level via six alternative model specifications, resulting in R2 values of 0.59–0.68. The preferred model based on HGBS square footage and other census-based data resulted in predicted HGBS replacement costs on average being 29% higher than DSRVs, although the standard deviation of the differences was 380%. Finally, regressing DSRVs against tax assessor building square footage data resulted in a R2 value of 0.96 and an underprediction of actual DSRVs across blocks by only 12%, with a correspondingly low standard deviation of 48%.
    publisherAmerican Society of Civil Engineers
    titleCorrecting HAZUS General Building Stock Structural Replacement Cost Data for Single-Family Residences
    typeJournal Paper
    journal volume18
    journal issue4
    journal titleNatural Hazards Review
    identifier doi10.1061/(ASCE)NH.1527-6996.0000261
    treeNatural Hazards Review:;2017:;Volume ( 018 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian