| Title |
Research on a Flood-Resilient Urban Design Process Using Parametric Methods - Focusing on Flood-prone Residential Areas in Mangwon-dong near the Hangang River |
| Authors |
정영준(Jung, Young-Jun) ; 우정현(Woo, Jung Hyun) |
| DOI |
https://doi.org/10.38195/judik.2025.02.26.4.5 |
| Keywords |
파라메트릭 도시설계; 도시 빅데이터; 침수대응도시; 기후위기 대응설계; 데이터기반 설계 Parametric Urban Design; Urban Big Data; Flood-Resilience City; Climate Crisis-Responsive Design; Data-Driven Urban Design |
| Abstract |
Urban flooding caused by climate change reveals the limitations of structural measures alone, highlighting the need for new urban design approaches that can flexibly adapt to changing environmental conditions. This study proposes a flood-resilient urban design process using data-driven parametric methods, focusing on Mangwon-dong, a flood-prone residential area near the Han River. Floodvulnerable zones were identified by analyzing urban environmental and flood-related spatial data, and flood-adaptive block types were selected. Development intensity scenarios were simulated using a parametric algorithm developed in Rhino 3D Grasshopper. Each scenario was comprehensively evaluated using quantitative indicators such as ecological area ratio, imperviousness, number of housing units, and project cost, with the 60% development intensity scenario selected as optimal. Based on this, a resilience-oriented masterplan was proposed, incorporating flood response strategies including rooftop greening, retention-type open spaces, and Voronoi-patterned green cells. This study confirms that parametric methods can provide flexibility and adaptability throughout the urban design process, demonstrating their potential for addressing not only flooding but also a variety of urban challenges. Furthermore, it presents the potential of structured, data-driven design?evaluation?selection processes as a practical urban planning model. |