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Modeling Long-Term Housing Recovery after Technological Disaster Using a Virtual Audit with Repeated Photography
Journal of Planning Education and Research ( IF 4.244 ) Pub Date : 2021-03-30 , DOI: 10.1177/0739456x211002910
Marccus D. Hendricks 1 , Michelle Annette Meyer 2
Affiliation  

Many communities face risks of technological disasters at fertilizer plants and other facilities. Understanding damage and rebuilding of housing supports planners in implementing policies that will enable recovery. Using repeat photography, this study audited housing rebuilding in West, Texas for three years following an explosion. Photos were combined with appraisal data to understand variation in rebuilding across parcels. Results indicate that rebuilding slows dramatically after year 1, leaving many parcels vacant three years post-disaster. Parcels with higher pre-disaster values were more likely to be completely rebuilt. Planners need targeted programming to support rebuilding of lower-value homes and address vacancies.



中文翻译:

使用具有重复摄影功能的虚拟审核为技术灾难后的长期房屋恢复建模

许多社区在化肥厂和其他设施中面临技术灾难的风险。了解损坏和房屋重建,可为规划人员实施能使房屋恢复的政策提供支持。这项研究使用重复摄影技术,对爆炸发生后三年在德克萨斯州西部的房屋重建进行了审计。将照片与评估数据相结合,以了解跨宗地重建的变化。结果表明,第一年后重建速度显着放缓,许多包裹在灾后三年仍空置。具有更高的灾前价值的包裹更有可能被完全重建。计划人员需要有针对性的编程,以支持重建低价房屋并解决空缺问题。

更新日期:2021-03-30
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