김승겸 교수
Seung Kyum Kim
KAIST 녹색성장지속가능대학원 · 환경과학
연구실 소개
김승겸 교수의 연구실은 도시 녹지 공간의 접근성 불평등과 기후 변화 대비 정책의 효과성을 중심으로 연구를 전개합니다. 특히 중국의 341개 지방급 도시를 대상으로 한 녹지 분포의 형평성 평가, 뉴욕시의 신규 녹지 조성과 지속 가능한 도시 개발 간의 상관관계, 광둥-홍콩-마카오 대만구 지역의 기후 취약성과 녹지 간 상호작용을 분석하며, 실증적 데이터 기반의 정책 제언을 추구합니다. 또한 기후 변화에 따른 주택 시장 변화와 위험 인식의 동적 변화를 지리정보시스템과 고급 통계모형을 활용해 탐구합니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Despite multiple benefits of green space for urban residents, the investigations on equality of access to green space are scarce. Most focused on individual cities and the results were inconsistent due to the varying definitions, scales, and evaluation methods employed within each. This study intends to address this gap by developing two indexes based on the Gini Coefficient to compare the inequality of access to urban green spaces across all 341 prefecture-level cities of China. An urban green
A number of recent studies have examined the socioeconomic functions and side effects of environmental amenity in urban development. In this study, an urban green space is viewed as both a positive and negative environmental externality because it could be a potential contributor to gentrification. Employing the difference-in-differences method at the public use microdata areas and census-tract level, this study examines the effects of new green space characteristics on multiple gentrification i
Many countries promote urban agglomeration to enhance economic competitiveness, but the impacts of this strategy on local climate adaptation remain poorly understood. Here, we use variation in greenspaces to test the effectiveness of climate adaptation policy across climate impacts and vulnerability dimensions. Using satellite imagery and logistic regression, we analyze spatiotemporal correlation between greenspace and climate vulnerability in the Guangdong-Hong Kong-Macau Greater Bay Area, an a
This research examines the economic impact of climate change adaptation measures on the housing markets of two representative coastal cities in the United States located along the Atlantic Ocean. The results shed light on how adaptation measures and investments influence housing values and local real estate markets with respect to their place-based and local forms of implementation. Numerous quantitative approaches, with the use of geospatial data, panel-data hedonic regressions, and difference-
Abstract 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 d
The study analyzes the distributional equity of urban green space (UGS) among different social groups across all urban areas in China. Urban green space is measured in two ways: Park area per capita and vegetation coverage ratio within 1.6 km and 3.2 km featuring different ecosystem services they provide. Multiple regression analyses are conducted to assess relationships between different groups (children, the elderly, and migrant populations) and distributed UGS. Largely consistent to other nat
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