Correcting <i>HAZUS</i> General Building Stock Structural Replacement Cost Data for Single-Family ResidencesSource: Natural Hazards Review:;2017:;Volume ( 018 ):;issue: 004Author:Steven Shultz
DOI: 10.1061/(ASCE)NH.1527-6996.0000261Publisher: 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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| contributor author | Steven Shultz | |
| date accessioned | 2017-12-16T09:01:15Z | |
| date available | 2017-12-16T09:01:15Z | |
| date issued | 2017 | |
| identifier other | %28ASCE%29NH.1527-6996.0000261.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4237512 | |
| description 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%. | |
| publisher | American Society of Civil Engineers | |
| title | Correcting HAZUS General Building Stock Structural Replacement Cost Data for Single-Family Residences | |
| type | Journal Paper | |
| journal volume | 18 | |
| journal issue | 4 | |
| journal title | Natural Hazards Review | |
| identifier doi | 10.1061/(ASCE)NH.1527-6996.0000261 | |
| tree | Natural Hazards Review:;2017:;Volume ( 018 ):;issue: 004 | |
| contenttype | Fulltext |