Kyeongsu Kim, PhD

Director

Kyeongsu Kim is a passionate and enthusiastic transportation data analysis expert. He has over 15 years of experience in travel demand modeling and data analytics. Kyeongsu has led numerous innovative data analytics and modeling projects and has a proven track record for  exceeding client expectations. Importantly, his analytical and project management skills help bridge the project delivery gap between consultants and government agencies.

Prior to joining RSG, Kyeongsu served as a project manager for the Connetics Transportation Group (CTG) (now part of Nelson/Nygaard, Inc.). At CTG, he worked with local and regional clients/consultants and led travel demand modeling, application, and data analytics projects/tasks. Kyeongsu also led CTG’s exploration of raw location-based service data for its utility with two data providers. Prior to joining CTG, Kyeongsu worked at Louis Berger (now WSP), serving New York Metropolitan Transportation Council (NYMTC) in their research and data analysis. In this role, he supported every phase of survey data collection and systematic data check routines. He also led an innovative data collection and analytics initiative at NYMTC to study the feasibility of using big data for transportation planning applications. Kyeongsu often provided technical support to Louis Berger, analyzing data for traffic and ridership forecasting and toll revenue studies. He has been a member of the Transportation Research Board's Travel Survey Methods Committee (AEP25) since 2014.

Kyeongsu lives in Fairfax, Virginia, with his wife and child. He enjoys playing baseball and soccer with his son, watching baseball and college football, and traveling.

PhD, Geography (Transport Geography), The Graduate Center, City University of New York

MCRP, City and Regional Planning, Rutgers University

BS, Logistics Management and Transport, Korea Aerospace University

Kim, Kyeongsu. 2015. “Can carsharing meet the mobility needs for the low-income neighborhoods? Lessons from carsharing in New York City”, Transportation Research Part A 77: 249–260. http://www.sciencedirect.com/science/article/pii/S0965856415001068

Kim, Kyeongsu and Michael L. Lahr. 2014. “The Impact of Hudson-Bergen Light Rail on Residential Property Appreciation”, Papers in Regional Science 93 (S1) S79-S97. http://onlinelibrary.wiley.com/doi/10.1111/pirs.12038/abstract

Chatman, G. Daniel, Tulach, and Kim. 2012. “Evaluating the Economic Impacts of Light Rail by Measuring Home Appreciation: A First Look at New Jersey’s River Line” Urban Studies 49 (3): 437-487. http://usj.sagepub.com/content/early/2011/05/25/0042098011404933

National Academies of Sciences, Engineering, and Medicine 2020. Traffic Forecasting Accuracy Assessment Research. Washington, DC: The National Academies Press. https://doi.org/10.17226/25637

National Academies of Sciences, Engineering, and Medicine 08-121 Accessibility Measures in Practice: Guidance for Transportation Agencies (completed; forthcoming). https://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=4558