Enhancing Property Valuation in Post-War Recovery: Integrating War-Related Attributes into Real Estate Valuation Practices

IF 7 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Smart Cities Pub Date : 2024-07-05 DOI:10.3390/smartcities7040069
Mounir Azzam, Valerie Graw, Eva Meidler, A. Rienow
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Abstract

In post-war environments, property valuation encounters obstacles stemming from widespread destruction, population displacement, and complex legal frameworks. This study addresses post-war property valuation by integrating war-related considerations into the ISO 19152 Land Administration Domain Model, resulting in a valuation information model for Syria’s post-war landscape, serving as a reference for property valuation in conflict-affected areas. Additionally, property valuation is enhanced through visualization modeling, aiding the comprehension of war-related attributes amidst and following conflict. We utilize data from a field survey of 243 Condominium Units in the Harasta district, Rural Damascus Governorate. These data were collected through quantitative interviews with real estate companies and residents to uncover facts about property prices and war-related conditions. Our quantitative data are analyzed using inferential statistics of mean housing prices to assess the impact of war-related variables on property values during both wartime and post-war periods. The analysis reveals significant fluctuations in prices during wartime, with severely damaged properties experiencing notable declines (about −75%), followed by moderately damaged properties (about −60%). In the post-war phase, rehabilitated properties demonstrate price improvements (1.8% to 22.5%), while others continue to depreciate (−55% to −65%). These insights inform post-war property valuation standards, facilitating sustainable investment during the post-war recovery phase.
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加强战后恢复中的房地产估价:将战争相关属性纳入房地产估价实践
在战后环境中,财产估值会遇到广泛破坏、人口流离失所和复杂法律框架带来的障碍。本研究通过将战争相关因素纳入 ISO 19152 土地管理域模型来解决战后财产估值问题,从而为叙利亚的战后景观建立了一个估值信息模型,为受冲突影响地区的财产估值提供参考。此外,还通过可视化建模加强了财产估值,有助于理解冲突中和冲突后与战争相关的属性。我们利用了对大马士革农村省哈拉斯塔区 243 个共有公寓单位的实地调查数据。这些数据是通过对房地产公司和居民的定量访谈收集的,目的是揭示有关房地产价格和战争相关情况的事实。我们使用平均房价的推断统计法对定量数据进行分析,以评估战争相关变量在战时和战后对房产价值的影响。分析结果显示,战时房价波动明显,受损严重的房产价格下降明显(约-75%),其次是受损程度一般的房产(约-60%)。在战后阶段,修复后的房产价格有所提高(1.8% 到 22.5%),而其他房产则继续贬值(-55% 到 -65%)。这些见解为战后房产估价标准提供了参考,有利于战后恢复阶段的可持续投资。
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来源期刊
Smart Cities
Smart Cities Multiple-
CiteScore
11.20
自引率
6.20%
发文量
0
审稿时长
11 weeks
期刊介绍: Smart Cities (ISSN 2624-6511) provides an advanced forum for the dissemination of information on the science and technology of smart cities, publishing reviews, regular research papers (articles) and communications in all areas of research concerning smart cities. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible, with no restriction on the maximum length of the papers published so that all experimental results can be reproduced.
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