Dasom Han

Dasom Han

Urban Planner & Transportation Engineer

Posts by Collection

portfolio

Commercial Real Estate Investment

Prime Gangnam property, fully leased to a plastic surgery clinic. Achieved 23% cash return and 100% occupancy through detailed financial analysis.

publications

A Research on the Impact of the Construction of Ui-LRT(Light Rail Transit) on the Prices of Surrounding Apartments. 우이신설선 건설이 주변 아파트 가격에 미치는 영향에 관한 연구

Published in The Korean Regional Development Association, 2018

This study investigates how the construction and operation of the Ui-Sinseol Light Rail Transit (LRT) affected apartment prices in the surrounding areas. Using multiple regression analysis, it examines how proximity to the LRT stations and local amenities, such as schools, influences housing prices. The study differentiates between the eastern and western areas along the rail line, highlighting that the western region, which lacked alternative transportation infrastructure, experienced more significant price increases due to improved access provided by the LRT. Conversely, the eastern region, served by both the LRT and Line 4, saw a lesser impact from the new rail line. The study also considers the evolution of property prices before, during, and after the LRT’s construction, giving a phased perspective on its influence. This research provides a foundational understanding of how the LRT reshaped real estate prices in the area by improving transportation access.

Recommended citation: Han, D. S., & Choi, C. G. (2018-06-02). The Korean Regional Development Association Conference, Gyeonggi. 한다솜, 최창규. (2018-06-02). 우이신설선 건설이 주변 아파트 가격에 미치는 영향에 관한 연구. 한국지역개발학회 학술대회, 경기.
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A Research on the Influences of the Ui-LRT(Light Rail Transit) on the Prices Surrounding Apartments. 우이신설경전철이 주변 아파트 가격에 미치는 영향에 관한 연구

Published in Korean Association for Housing Policy Studies, 2018

This study expands upon previous research presented by the Korean Regional Development Association by incorporating a broader range of factors to assess the socioeconomic impacts of the Ui-Sinseol Light Rail Transit (LRT) on apartment prices. While it continues to use multiple regression analysis, it delves deeper by examining a more comprehensive set of variables, including apartment characteristics such as size and year of construction, environmental factors, and neighborhood socioeconomic conditions. The study provides a more nuanced comparison between the eastern and western regions, isolating the specific effects of the LRT and considering additional influences, such as Line 4 in the eastern region. The findings highlight that factors like apartment size and proximity to amenities had a greater impact on price changes, particularly in the western region. Through the use of more sophisticated regression models and a larger data set, this research offers deeper insights into how urban infrastructure like the LRT influences housing markets, providing a more detailed understanding of its socioeconomic implications.

Recommended citation: Da-Som Han, Chang-Gyu Choi. (2018). Proceedings of the Korean Association for Housing Policy Studies Conference, 2018(4), 359-385. 한다솜, 최창규. (2018). 우이신설경전철이 주변 아파트 가격에 미치는 영향에 관한 연구. 한국주택학회 학술대회 발표논문집, 2018(4), 359-385.
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A Research on the Influence of the Ui-Sinseol Light Rail Transit on Housing Price : Focusing on the Apartments near the Ui-Sinseol Light Rail Transit

Published in Journal of Korea Planning Association, 2022

This research analyzes the impact of the Ui-Sinseol Light Rail Transit (Ui-LRT) on nearby apartment prices in Seoul. Using multiple regression analysis, the study reveals that while proximity to Ui-LRT stations can influence property values, factors such as other transit options and apartment characteristics play a significant role. The results indicate varying effects across regions, highlighting the complex relationship between urban infrastructure and housing markets.

Recommended citation: Han, D. S., & Choi, C. G. (2022). Journal of Korea Planning Association, 57(2), 108-126. 한다솜, & 최창규. (2022). 우이신설경전철이 주택가격에 미치는 영향에관한 연구”. 국토계획, 57(2).
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A study on the impact of Chicago L Train (Elevated Train) accessibility on housing price

Published in AAG Annual Conference, 2024

Although initially a semester project, this study was presented at an academic conference with the support of the University of Illinois at Urbana-Champaign, in recognition of its outstanding research results. This study examines how proximity to Chicago’s L Train impacts housing prices, with a focus on areas within and beyond a 1-mile radius of the stations. Utilizing multiple regression and geographically weighted regression (GWR), the analysis highlights the significant role of transportation infrastructure in shaping local housing markets, revealing both positive and region-specific effects on property values.

Recommended citation: Han, D. (2024). Presented at the 2024 AAG Annual Meeting. Department of Urban and Regional Planning, University of Illinois at Urbana-Champaign.
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The spatial dynamics of urban vegetation and housing prices: Insights from pre- and post-pandemic Chicago using OLS and MGWR models

Published in PLOS ONE, 2025

This study investigates how changes in urban vegetation—before and after the COVID-19 pandemic—affected housing prices across neighborhoods in the Chicago metropolitan area. Using OLS and Multiscale Geographically Weighted Regression (MGWR), the analysis highlights clear spatial disparities in how greenery influences housing values.

Recommended citation: Han, Dasom, and Chang Gyu Choi. "The spatial dynamics of urban vegetation and housing prices: Insights from pre-and post-pandemic Chicago using OLS and MGWR models." PloS one 20.9 (2025): e0330932.
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talks

  • Supported the youth housing supply project by facilitating housing screenings for low-income youth. Collaborated with local governments to streamline approval processes and align project initiatives with broader urban development goals. Conducted research to assess housing needs and contributed insights that shaped pilot projects aimed at increasing accessibility to affordable housing for disadvantaged groups.

  • Directed the development of Suseo Station as a major transportation hub in Seoul. Conducted feasibility studies, led zoning processes, and developed transportation plans, ensuring the project aligned with environmental and regulatory standards. Worked with transportation authorities and environmental consultants to incorporate sustainable urban design principles, enhancing long-term viability and transit accessibility.

Published:

  • Led negotiations for land purchases and managed state-owned land litigation, playing a critical role in urban development projects. Coordinated land acquisition strategies, ensuring project timelines remained on track and minimizing delays. Collaborated with external legal counsel to resolve compensation issues and navigate regulatory challenges, maintaining compliance and fairness in state-owned land dealings.

Korea Land & Housing Corporation (LH)

Published:

  • Developed and implemented an efficient housing voucher system that streamlined payments for low-income households. Conducted surveys to assess housing needs and used insights to optimize the allocation of vouchers, improving service delivery for vulnerable populations. Coordinated between departments to enhance transparency and user satisfaction, and implemented automation tools to reduce manual processes, improving efficiency by 25%.

Published:

  • Supported the development of affordable housing in Champaign County by conducting in-depth analysis for the Housing and Transportation Affordability Index.
  • Improved population and employment projections for the Long Range Transportation Plan, enhancing forecast accuracy through advanced demographic and economic modeling techniques.
  • Engaged with diverse community stakeholders to gather feedback on urban development projects, ensuring that planning initiatives met local residents’ needs and expectations.

Champaign County Regional Planning Commission (CCRPC)

Published:

  • Utilize advanced GIS and data analysis techniques to enhance land use modeling and infrastructure planning, analyzing crash data within the Safe Streets for All (SS4A) program to develop projects that reduce road fatalities and serious injuries in accordance with Vision Zero principles.
  • Supported the Active Transportation Plan (ATP) by identifying and analyzing key pedestrian and bicycle traffic locations using GIS and accessibility criteria, selecting park-adjacent intersections for multimodal study, and preparing demographic datasets to support equity-driven planning.
  • Contribute to the PROTECT Grant: Champaign County Transportation Vulnerability Assessment under Climate Change by assessing climate change risks and integrating mitigation strategies into transportation planning.
  • Supported compliance reporting and monitoring for federally funded transportation projects, ensuring adherence to regulatory guidelines.

Indiana Toll Road Concession Company (ITRCC)

Published:

  • Leverage large-scale traffic volume data, socioeconomic indicators, and toll transaction records to analyze historical and projected traffic trends across the 157-mile Indiana Toll Road. Support revenue optimization and inform strategic tolling decisions by applying advanced statistical and econometric methodologies.
  • Develop, calibrate, and validate traffic and revenue forecasting models by integrating inputs such as construction schedules, macroeconomic trends, vehicle classifications, and seasonal patterns. Utilize Python, Excel and GIS tools to produce reliable forecasts supporting internal budgeting, investor relations, and concessionaire reporting.
  • Evaluate the potential impact of upcoming construction and maintenance projects on traffic performance. Generate before-and-after traffic impact assessments and contribute to the mitigation planning process in collaboration with the Toll Operations and Infrastructure teams.
  • Conducted in-depth crash data analysis by calculating segment-level Vehicle Miles Traveled (VMT) and crash rates using internal traffic data and incident reports. Identified high-risk locations and trends in crash frequency and severity, enabling the Safety and Operations teams to prioritize countermeasures and maintenance efforts.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.