2023 Gonsoroski, E., Ahn, Y., Beitsch, L., Countess, N., Harville, E., Lichtveld, Y.M., Pan, K., Serchan, P.S., Uejio, C.K., (2023) “Classifying Building Roof Damage using High-Resolution Imagery for Disaster Recovery.” Photogrammetric Engineering & Remote Sensing (Accepted)
Utilized High-Resolution Imagery and machine learning techniques to detect damaged rooftops from Hurricane Michael.
2022 Ahn, Y., Uejio CK.(2022). Modeling air conditioning ownership and availability. Urban Clim. 2022;46:101322.
Estimating Air Conditioning ownership in California at the census tract level with Random Forest
Ahn, Y., Uejio, C. K., Rennie, J., & Schmit, L. (2022). Verifying Experimental Wet Bulb Globe Temperature Hindcasts Across the United States. GeoHealth, 6(4).
Validated nationwide real-time Wet Bulb Globe Temperature predictions using ground observations data from 12 different institutes
Jung, J., Ahn, Y., & Bommarito, J. (2022). Disparities in COVID-19 health outcomes among different sub-immigrant groups in the U.S. - a study based on the spatial Durbin model. Geospatial Health, 17(s1), 1–10.
Analyzed the relationship between socioeconomic variables and COVID-19 mortality rates and the number of patients among immigrant groups.
2021 Ahn, Y., Okamoto, D. & Uejio, C.K. (2021). Ahn, Y., Okamoto, D., Uejio, C., 2022. Investigating city bike rental usage and wet-bulb globe temperature. Int. J. Biometeorol. 1–12.
Examining preferred weather conditions of city bike users in San Francisco and New York City with Generalized Additive Models and bootstrapping
2018 Kim, H. G., Lee, D. K., Park, C., Ahn, Y., Kil, S. H., Sung, S., & Biging, G. S. (2018). Estimating landslide susceptibility areas considering the uncertainty inherent in modeling methods. Stochastic environmental research and risk assessment, 32(11), 2987-3019.
Applied ten machine learning models to quantify the uncertainties of estimating landslide susceptible areas. Applied five ensemble methods for aggregating the results from the ten models and suggested landslide susceptible areas. The results showed that the ensemble methods reduced the uncertainties of the individual models’ results.
Ahn, Y., & Chae, Y. (2018). Analyzing spatial equality of cooling service shelters, Central district of Seoul metropolitan city, South Korea. Spatial Information Research, 26(6), 619-627.
Evaluated the suitability of cooling centers with the adequacy of cooling centers’ location and the capacity of cooling centers. Suggested geographic suitability of cooling center locations with network analysis.
2016 Ahn, Y., Kang, Y., Park, C. S., & Kim, H. G. (2016). The Characteristics and Improvement Directions of Regional Climate Change Adaptation Policies in accordance with Damage Cases. Journal of Environmental Impact Assessment, 25(4), 296-306.(Korean with English abstract).
Evaluated the effectiveness of regional climate change measures by analyzing damage frequency from newspapers regarding climate change impacts. The results of the paper were reported in the media.
Ahn, Y. J., Kang, Y. E., & Park, C. S. (2016). Developing indexes for analyzing severe heat hot spots under climate change. J. Korea Plan. Assoc, 51, 199-209. (Korean with English abstract).
Suggested proxy measures for nationwide risk assessment and identified the most heat-vulnerable regions in Korea.
Ahn, Y., Kang, Y. E., Choi, C.S. & Park, C. S. (2016). “The Analysis of Residents’ Participation in the Ditch Management Project and Typology of Agents to Improve Participation.” Journal of Korea Planning Association 51 (4): 225–36. (Korean with English abstract).
Conducted a survey to evaluate community engagement ditch management projects and applied network analysis to identify important components of community engagement environment recovery programs.
Ryu, J., Lee, D. K., Park, C., Ahn, Y., Lee, S., Choi, K., & Jung, T. (2016). Assessment of the vulnerability of industrial parks to flood in South Korea. Natural Hazards, 82(2), 811-825.
Suggested vulnerability assessment proxies and conducted vulnerability assessments for industrial parks in Korea
Kang, Y. G., Ahn, Y., & Park, C. S. (2016). Analysis of the Importance of Climate Change Adaptation Strategies and Systematization. J Environ. Policy Admin, 24(1), 243-262. (Korean with English abstract).
Analyzed climate change adaptation strategies based on a review of the literature and a survey of experts. Conducted principal component analysis and divided global climate change adaptation strategies into six categories. Based on the results, we suggested a framework for the 2nd Korea Climate Change Adaptation Plan.
2015 Ahn, Y., Lee, D. K., Kim, H. G., Park, C., Kim, J., & Kim, J. U. (2015). Estimating Korean Pine (Pinus koraiensis) habitat distribution considering climate change uncertainty using species distribution models and RCP Scenarios. Journal of the Korean Society of Environmental Restoration Technology, 18(3), 51-64. (Korean with English abstract).
Applied species distribution models based on machine learning algorithms and two Representative Concentration Pathway scenarios to consider the uncertainties of estimating potential Korean Pine habitat under climate change. Compared the models’ results and suggested potential Korean Pine tree habitats with the ensemble models’ results.
2014 Ahn, Y., Lee, D. K., Kim, H., & Mo, Y. (2014). Applying connectivity analysis for prioritizing unexecuted urban parks in Sungnam. Journal of the Korean Society of Environmental Restoration Technology, 17(3), 75-86. (Korean with English abstract)
Applied network analysis to prioritize the development of city parks and contribute towards improving the green network for urban ecosystems.