Kangjae Lee

Assistant professor

Kyungpook National University

South Korea

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Dr. Kangjae Lee is an Assistant Professor at Kyungpook National University in South Korea. His research focuses on environmental and socioeconomic equity, with recent articles addressing issues such as the impact of air pollution on mental health and the analysis of urban opportunities during the COVID-19 pandemic. He employs machine learning techniques to assess environmental vulnerabilities and their implications for public health and wellbeing.

Articles (20)

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2021

Collaborators (5)

Yoo Min Park

University of Connecticut

UNITED STATES

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Munkhbaatar Buuveibaatar

Research Professor

Kyungpook National University

SOUTH KOREA

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Rebecca Marie Shakespeare

Lecturer

Tufts University

UNITED STATES

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Forrest Fleischman

University of Minnesota

UNITED STATES

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Vijay Ramprasad

Williams College

UNITED STATES

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Kangjae Lee

Research Interests

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About

Articles (20)

Disparities in NatureScore™ across U.S. public schools: Implications for environmental and socioeconomic equity

Assessment of forest fire vulnerability prediction in Indonesia: Seasonal variability analysis using machine learning techniques

Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques

Comparison of Different Green Space Measures and Their Impact on Dementia Cases in South Korea: A Spatial Panel Analysis

Housing Transaction Prices and Depression Experience Rates According to Housing Types Before and After the COVID-19 Pandemic

Sales in Commercial Alleys and Their Association with Air Pollution: Case Study in South Korea

Socioeconomic Disparities in the Usage of Urban Opportunities in South Korea During the COVID-19 Pandemic: Using Land Use/Land Cover and Mobile Phone Data

How the physical inactivity is affected by social-, economic- and physical-environmental factors: an exploratory study using the machine learning approach

Developing an LADM Valuation Information Model for Mongolia

Spatiotemporal non-stationarity in green space and stress relationships: Recent evidence from South Korea

Analysis of the association between housing prices and mental health before and during COVID-19

Gender Space Analysis in a City Using Origin-Destination Data Based on Mobile Telecommunications

Predicting wasteful spending in tree planting programs in Indian Himalaya

Implementation of the LADM-Based Cadastral Model for Mongolia towards Transition to a 3D Cadastre

Analysis of changes in geographical factors affecting sales in commercial alleys after COVID-19 using machine learning techniques

Development of a Conceptual Data Model for 3D Geospatial Road Management Based on LandInfra Standard: A Case Study of Korea

Is college students’ trajectory associated with academic performance?

Association between depression and green space before and after the COVID-19: Panel data evidence in South Korea

An Integrated Individual Environmental Exposure Assessment System for Real-Time Mobile Sensing in Environmental Health Studies

Interpretation of contextual influences with explanatory tools: Travel mode likelihood mapping using GPS trajectories

Collaborators (5)

Yoo Min Park

Munkhbaatar Buuveibaatar

Rebecca Marie Shakespeare

Forrest Fleischman

Vijay Ramprasad

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