Trends and Patterns in Housing Price - Natural Disaster Research: A Bibliometric Analysis
Ariyanto Adhi Nugroho et al.
What the paper says
Understanding the trends and patterns of the relationship between housing prices and disasters is crucial for economic impact assessment, risk management, and policy formulation, driven by the unpredictable and urgent nature of disasters. Despite its significance, the conceptualization of these terms remains unclear, with no consensus on their interconnectedness. To address this gap, our study uses a bibliometric analysis of peer-reviewed literature from the Scopus database from 1967 to early 2024. The results show that the literature on the relationship between house prices and natural disasters is still limited, with only 144 articles available. The topic shows a trend of linear increase in annual publications. There are two clustered network maps generated from an analysis through VosViewer. The first cluster focuses on disaster risk assessment and prevention, while the other cluster highlights the relationship between housing prices and natural disasters in the same network. The relationship between housing prices and natural disasters is generally negative, and different disaster impacts require different mitigation strategies based on the socioeconomic conditions of a region. This study emphasizes the need for comprehensive research with the use of region-based cluster analyses to gain deeper insights into the various impacts of natural disasters on housing prices.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.