Publication
Research Paper
Big Data Based Approaches to Heatwave Vulnerability Assessment of the Built and Urban Environment
Heo, Hankyul Associate Research Fellow
Byun, Giyoung Associate Research Fellow
Song, Yumi Associate Research Fellow
Nam, Kichoen Assistant Research Fellow
- General 2025-11
- 2025.12.31
- 9Page
- Hit 259
Summary
This study aims to analyze microscopic heatwave vulnerability at the building and block level by utilizing public data and big data technologies. Specifically, the study aims to develop an effective process for identifying heatwave-risk buildings and spaces by linking scattered public data to construct big data, classifying Seoul’s Local Climate Zones (LCZ) based on machine learning, and combining this with Land Surface Temperature (LST) and microclimate simulations (ENVI-met).
Contents
Quoting
APA
Heo, Hankyul, Byun, Giyoung, Song, Yumi, Nam, Kichoen. (2025). Big Data Based Approaches to Heatwave Vulnerability Assessment of the Built and Urban Environment. Architecture & Urban Research Institute.
MLA
Heo, Hankyul, Byun, Giyoung, Song, Yumi, Nam, Kichoen. Big Data Based Approaches to Heatwave Vulnerability Assessment of the Built and Urban Environment.Architecture & Urban Research Institute. 2025
Chicago
Heo, Hankyul, Byun, Giyoung, Song, Yumi, Nam, Kichoen. 2025. Big Data Based Approaches to Heatwave Vulnerability Assessment of the Built and Urban Environment. Architecture & Urban Research Institute.
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