Jieun Lee, PhD
I am originally from Seoul, South Korea. I now live in NYC. I am an urban geographer with a PhD and MA in Geography and BA in Geographical Education/ Sociology from Ewha Women’s University in Seoul, South Korea. In addition, I earned a Graduate Certificate in Global Urban Studies from MSU. Previously, I was a Visiting Assistant Professor of Environmental Studies/ Geography in the Division of Social Sciences at New College of Florida, an honors liberal arts college in Sarasota. I am committed to global urbanism and urban sustainability, geographic information systems (GIS) for social justice in cities, and student mentorship.
My research and teaching interests focus on three related topics within the fields of urban geography and urban planning: (a) urban built environments and geographic information systems; (b) global urban processes and land use planning; and (c) urban public health and social justice. In particular, I am interested in transportation systems and impacts of urban planning and policy on gender and health disparities at global and local scales. In my dissertation research, I examined the effects of the built environment on promoting non-motorized travel and daily participation in physical activity among men and women in Detroit, MI. I conducted mail-out surveys, developed a geodatabase, and geocoded survey responses. I analyzed these data using a suite of statistical tools with geographic information systems and AutoCAD software to visualize and understand spatial patterns of travel reflecting race/ethnicity, socio-economic status, and neighborhood structure. My research seeks to inform urban design strategies that improve urban accessibility, promote sustainable transportation, and foster healthy and equitable communities.
Supervisors: Dr. Igor Vojnovic
My research and teaching interests focus on three related topics within the fields of urban geography and urban planning: (a) urban built environments and geographic information systems; (b) global urban processes and land use planning; and (c) urban public health and social justice. In particular, I am interested in transportation systems and impacts of urban planning and policy on gender and health disparities at global and local scales. In my dissertation research, I examined the effects of the built environment on promoting non-motorized travel and daily participation in physical activity among men and women in Detroit, MI. I conducted mail-out surveys, developed a geodatabase, and geocoded survey responses. I analyzed these data using a suite of statistical tools with geographic information systems and AutoCAD software to visualize and understand spatial patterns of travel reflecting race/ethnicity, socio-economic status, and neighborhood structure. My research seeks to inform urban design strategies that improve urban accessibility, promote sustainable transportation, and foster healthy and equitable communities.
Supervisors: Dr. Igor Vojnovic
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This Ph.D. dissertation explores the linkage between specific urban built environment characteristics and individual travel behavior, in order to identify the neighborhood typologies defining neighborhood-level differences in travel patterns. The analysis also examines gender differences in travel behavior after controlling for urban built environment, socioeconomic and demographic factors. Two main datasets were used for this dissertation: (1) built environment data from field surveys and inventories; and (2) individual or household travel data from a mail survey.
First, the results from the multivariate regression analysis, using 1,106 road network buffers (RNBs), confirmed the positive effects of RNBs that maintained a greater density, diverse land uses, highly connected road networks and more bus stops in promoting non-motorized travel while reducing motorized travel. Next, three neighborhood typologies—the higher density urban Detroit neighborhood group, the higher density suburban neighborhood group, and the lower density suburban neighborhood group—were defined for the within neighborhood analysis. In addition to the significant effects of income and personal vehicle access to a person’s travel pattern that were revealed from the OLS regression analysis, the discriminant analysis differentiated urban Detroit neighborhoods by their lower socioeconomic characteristics, by poor neighborhood environment quality for pedestrian activities and by their pedestrian dominant travel patterns. Lastly, the results from the OLS regression and Analysis of Covariance showed that the traditional gender role was still reflected in women’s daily travel in the Detroit region in that women traveled more frequently and longer distances for household responsibilities, and married women traveled to shop more frequently and longer distances than married men across all three neighborhood typologies. The findings also revealed travel burdens of the socially marginalized populations in terms of the extensive travel distances necessary to reach daily destination due to the decentralization of urban amenities in the Detroit region.
Courses by Jieun Lee, PhD
Portfolio/Data Visualization by Jieun Lee, PhD
This Ph.D. dissertation explores the linkage between specific urban built environment characteristics and individual travel behavior, in order to identify the neighborhood typologies defining neighborhood-level differences in travel patterns. The analysis also examines gender differences in travel behavior after controlling for urban built environment, socioeconomic and demographic factors. Two main datasets were used for this dissertation: (1) built environment data from field surveys and inventories; and (2) individual or household travel data from a mail survey.
First, the results from the multivariate regression analysis, using 1,106 road network buffers (RNBs), confirmed the positive effects of RNBs that maintained a greater density, diverse land uses, highly connected road networks and more bus stops in promoting non-motorized travel while reducing motorized travel. Next, three neighborhood typologies—the higher density urban Detroit neighborhood group, the higher density suburban neighborhood group, and the lower density suburban neighborhood group—were defined for the within neighborhood analysis. In addition to the significant effects of income and personal vehicle access to a person’s travel pattern that were revealed from the OLS regression analysis, the discriminant analysis differentiated urban Detroit neighborhoods by their lower socioeconomic characteristics, by poor neighborhood environment quality for pedestrian activities and by their pedestrian dominant travel patterns. Lastly, the results from the OLS regression and Analysis of Covariance showed that the traditional gender role was still reflected in women’s daily travel in the Detroit region in that women traveled more frequently and longer distances for household responsibilities, and married women traveled to shop more frequently and longer distances than married men across all three neighborhood typologies. The findings also revealed travel burdens of the socially marginalized populations in terms of the extensive travel distances necessary to reach daily destination due to the decentralization of urban amenities in the Detroit region.