Publications (Peer-Reviewed)
(*: the corresponding author)
(*: the corresponding author)
2025
*Lee, C. 2025. Unraveling the dynamics of vacant housing: Multi-scale analysis of socio-demographic-economic, physical environmental, and spatial clusters in South Korean cities (2015–2020). Cities, 167, 106327. (SSCI) DOI: https://doi.org/10.1016/j.cities.2025.106327
Nam, J., *Lee, C. 2025. Forecasting Urban Expansion: A Dynamic Urban Growth Model Using DS-ConvLSTM to Simulate Multi-Land Regulation Scenario. Ecological Informatics, 88, 103136. (SCIE) DOI: https://doi.org/10.1016/j.ecoinf.2025.103136
2024
*Lee, C. 2024. Quantifying Urban Sprawl and Investigating the Cause-Effect Links Among Urban Sprawl Factors, Commuting Modes, and Time: A Case Study of South Korean Cities. Journal of Transport Geography, 121, 104009. (SSCI) DOI: https://doi.org/10.1016/j.jtrangeo.2024.104009
*Lee, C. 2024. How do spatial scale-dependent urban and forest areas influence regionally seasonal temperatures in mid-latitude South Korean cities? Journal of Environmental Management, 360, 121171. (SCIE) DOI: https://doi.org/10.1016/j.jenvman.2024.121171
2023
Park, W., *Lee, C. 2023. Factors Influencing Revitalization of Senior Citizen Centers in Goyang-si, Gyeonggi-do, South Korea. Journal of Korean Planning Association, Journal of Korean Planning Association, 58(7), 22-38. (KCI) DOI: http://kpaj.or.kr/_PR/view/?aidx=39176&bidx=3526
*Lee, C., Choi, S., & Yoon, J. 2023. The Influence of Access to Urban Amenities on Urban Environment Satisfaction: A Case Study of Four New Towns in the Vicinity of Seoul, South Korea. Applied Research in Quality of Life, 18, 3111-3139. (SSCI) DOI: https://doi.org/10.1007/s11482-023-10223-7
Lee, C., *Lee, S. 2023. Analyzing spatiotemporal land use change using an urban growth model based on multilevel logistic regression and future land demand scenarios. Applied Geography, 160, 103099. (SSCI) DOI: https://doi.org/10.1016/j.apgeog.2023.103099
Kim, M., *Lee, C. 2023. Identifying Central Commercial Areas, Exploring Their Changes, and Impacts of Small Business Diversity and Core Businesses in Jeonju, South Korea. Journal of Korean Planning Association, 50(2), 67-80. (KCI) DOI: http://www.kpaj.or.kr/xml/36620/36620.pdf
Lee, C., Park, S., *Lee, J. 2023. Forecasting the urbanization dynamics in the Seoul metropolitan area using a long short-term memory-based model. Environment and Planning B: Urban Analytics and City Science, 50(2), 453-468. (SSCI) DOI: https://doi.org/10.1177/23998083221118002
2022
*Lee, C. 2022. Long-term wind speed interpolation using anisotropic regression kriging with regional heterogeneous terrain and solar insolation in the United States. Energy Reports, 8, 12-23. (SCIE) DOI: https://doi.org/10.1016/j.egyr.2021.11.285
Lee, J., *Lee, C. 2022. Investigating the Performance of Models Estimating NO2 and PM2.5 in the US Metropolitan Areas and Their Environmental Inequality and Vulnerable People Areas, Local Environment. 27(3), 309-326. (SSCI/SCIE) DOI: https://doi.org/10.1080/13549839.2022.2040462
Lee, J. *Newman, G. Lee, C. 2022. Predicting Detached Housing Vacancy: A Multilevel Analysis. Sustainability, 14(2), 922. (SSCI/SCIE) DOI: https://doi.org/10.3390/su14020922
2021
*Lee, C. 2021. How do built environments measured at two scales influence PM2.5 concentrations? Transportation Research Part D: Transport and Environment, 99, 103014. (SSCI/SCIE) DOI: https://doi.org/10.1016/j.trd.2021.103014
*Lee, C. 2021. Quantifying Effects of Spatiotemporal Changes of Urban and Green Areas on Regional Climate Change: South Korean Cities from the 1980s to the 2010s. Urban Forestry & Urban Greening, 64, 127286. (SSCI/SCIE) DOI: https://doi.org/10.1016/j.ufug.2021.127286
2020
*Lee, C. 2021. Impacts of multi-scale urban form on PM2.5 concentrations using continuous surface estimates with high-resolution in US metropolitan areas. Landscape and Urban Planning, 204, 103935. (SSCI/SCIE) DOI: https://doi.org/10.1016/j.landurbplan.2020.103935
*Lee, C. 2021. Impacts of two-scale urban form and their combined effects on commute modes in US metropolitan areas. Journal of Transport Geography, 88, 102821. (SSCI) DOI: https://doi.org/10.1016/j.jtrangeo.2020.102821
*Lee, C. 2020. Metropolitan Sprawl Measurement and Its Impacts on Commuting Trips and Road Emissions. Transportation Research Part D: Transport and Environment, 82, 102329. (SSCI/SCIE) DOI: https://doi.org/10.1016/j.trd.2020.102329
2019
*Lee, C. 2019. Impacts of urban form on air quality in metropolitan areas in the United States. Computers, Environment and Urban Systems, 77, 101362. (SSCI) DOI: https://doi.org/10.1016/j.compenvurbsys.2019.101362
*Lee, C. 2019. Impacts of urban form on air quality: Emissions on the road and concentrations in the US metropolitan areas. Journal of Environmental Management, 246, 192-202. (SCIE) DOI: https://doi.org/10.1016/j.jenvman.2019.05.146
*Lee, C., Lee, J. 2019. National NO2 exposure models for measuring its impact on vulnerable people in the US metropolitan areas. Environmental Monitoring and Assessment, 191(8), 484. (SCIE) DOI: https://doi.org/10.1007/s10661-019-7606-x
2014
Lee, M.J., *Lee, S.J., Lee, C. 2014. An integrated information system for mountain ridgelines using spatial information. Journal of the Korean Association of Geographic Information Studies, 17(2), 107-120. (KCI) DOI: https://kiss.kstudy.com/Detail/Ar?key=3246881