Dataset

Title of Dataset
Data From
Author of Dataset
Dr Kim Seung Kyum1
Contact
Dr Kim Seung Kyum1
Date of Dataset Creation
2020-06-29
Description
This paper analyzes the effects of storm frequency and intensity on housing values in Miami-Dade County over the last three decades. We found that higher storm exposure accelerates the housing price discount caused by augmented flood risk. The adverse effects of frequency and intensity have different impacts on perception of flood probabilities. Storm frequency affects housing prices in lower flood risk areas, whereas intensity influences the market in the higher risk zone, due to the different risk perceptions between the two factors. The results shed light on how increases in storm frequency and intensity impact the dynamics of flood risk perception in different floodplains on the coastal housing markets, suggesting future directions of flood prevention policies. Our findings highlight that one additional hurricane event is associated with a housing price discount of 1.3%. This adverse impact of frequency increases to 2.0% in the 500-year floodplain zones, while higher storm intensity reduces housing values in the 100-year floodplain zones by 1.5%.
Citation
Dr Kim Seung Kyum. (2020). Data From . (Dataset) The University of Hong Kong, Pokfulam, Hong Kong SAR.
Subject (RGC Codes)
H2 — Social and Behavioural Sciences — 社會及行為學
  • 4412 — Urban Studies and Planning — 城市研究與規劃
Subject (ANZSRC)
12 — BUILT ENVIRONMENT AND DESIGN — 建築環境與設計
  • 1205 — URBAN AND REGIONAL PLANNING — 都市和區域規劃
    • 120503 — Housing Markets, Development, Management — 住宅市場, 開發, 管理
Keyword
disaster risk reduction
floodplain
policy appraisal
risk perception
Affiliations
  1. The University of Hong Kong