빅데이터 도시통합모형(Big-Data City Integration Model)
SUDL은 빅데이터 도시통합모형 개발을 위한 다음과 같은 연구들을 진행하고 있습니다.
1) Measuring public health effect using big-data simulators (machine learning, deep learning)
그린인프라 개선에 따른 공중보건적 측면의 효용성을 복수의 머신러닝 알고리즘을 테스트하여 가장 정확도가 높은 예측 모델 개발
2) Developing an integrated assessment tool to evaluate a city's resilience to climate change
기존 도시를 저탄소·녹색성장으로 전환하기 위해 기후변화 대응도시 모델을 개발하고 이 모델을 통해 다양한 정책을 사전에 예측하고 평가하는 시스템 개발
[Related Project]
「그린인프라의 공중보건적 측면의 효용성 평가·예측 모델 개발 : 빅데이터 융합 모델 기반 시뮬레이터 활용을 중심으로」, 한국연구재단 (책임연구원, 2022-2025)
Development of evaluation model of green infrastructure : measuring public health effect using big-data simulators, National Research Foundation of Korea (2022-2025)
저탄소 녹색 성장을 위한 도시정책 솔루션: 저탄소 녹색성장을 위한 도시유형별·부문별 통합 의사결정 시스템 구축 (공동연구원, 2014-2015)
Urban policy solutions for low-carbon green growth: developing an integrated decision-making system for low-carbon green growth by urban type and sector (2014-2015)
[Related Publication]
Ahn, H., Lee, J., & Hong, A. (2022) ”Urban form and air pollution: Clustering patterns of urban form factors related to particulate matter in Seoul, Korea“. Sustainable Cities and Society. Elsevier BV. https://doi.org/10.1016/j.scs.2022.103859
Lee, J., Boarnet, M., Houston, D., Nixon, H., and Spears, S. (2017) “Changes in Service and Associated Ridership Impacts near a New Light Rail Transit Line”, Sustainability 9(1827): 1-27. https://doi.org/10.3390/su9101827
Lee, J., He, S., and Sohn, D. (2017) “Potential of Converting Short Car Trips to Active Trips: The Role of the Built Environment in Tour-based Travel”, Journal of Transport & Health 7: 134-148. https://doi.org/10.1016/j.jth.2017.08.008
Lee, J. (2016) “Impact of Neighborhood Walkability on Trip Generation and Trip Chaining: Case of Los Angeles” Journal of Urban Planning and Development 142(3): 05015013. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000312
이정우, 고주연, 전상우, 전철민, (2015), “대중교통 승하차 수요분석을 통한 서울시 역세권 유형화 및 토지이용 특성 연구”, 「국토연구」, 84, p35-53.(Award for best published paper in the Journal of KRIHS), http://doi.org/10.15793/kspr.2015.84..003
[Related Conference Paper]
Lee J., Barquilla C.M. “Analyzing the effect of urban forms on the seasonal variation of particulate matter using machine learning -- A case study of Seoul, South Korea”, 62nd Annual meeting of Western Regional Science Association, 2023.02.16
Lee, J., Barquilla C.M. “Predicting air pollution and seasonal variation using random forest model: The case study of Seoul, Korea", 5th World Planning Schools Congress 16th Asian Planning Schools Association Congress, 2022.08.31