Seoul National University · 社会科学
Professor Tae-Hyoung Tommy Gim's research lab specializes in urban mobility, transportation behavior, and land use planning, with a focus on how urban form, sociodemographics, and attitudes shape travel patterns. The lab investigates the complex interplay between spatial environments, travel mode choices, and policy implications—particularly in the context of urbanization, public health crises like the COVID-19 pandemic, and sustainable city development. Using advanced quantitative methods such as structural equation modeling and meta-regression, the lab explores non-recursive relationships and multicollinearity issues in transportation research.
Figures are computed from collected data and may differ slightly.
Abstract From a review of the literature on residential self-selection and spatial multicollinearity, this paper identifies the relationships that travel behavior has with three factors: land use, sociodemographics, and attitudes. It then analyzes the magnitude of the land use–travel behavior relationship by testing two meta-regression models. Each model specifies: (1) residential self-selection as a sociodemographic or attitudinal confounding factor in the land use–travel behavior relationship;
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is believed to have substantially changed travel mode choices. While current urban transit policies and plans aim at higher public transit ridership, the negative perception that transit is unsafe increases in line with the spread of Coronavirus Disease 2019 (COVID-19) because of its higher risk in cases in which so-called 3C conditions are met: crowded areas, close-contact settings, and closed places. Thus, this study emp
This study analyzes the relationship that land use has with weekend travel in comparison to weekday travel. Unlike previous studies, it uses the same sample for two models that are specified to test the relationship separately for weekday and weekend travel. Structural equation modeling is employed to test the land use–travel relationship. A comparison is made using two mode-specific travel measures: trip frequency and travel time. On weekday travel, land use in Seoul tends to reduce automobile
Nonrecursive structural equation modeling is applied to cross-sectional data from a survey conducted in Seoul, Korea, in 2009 and from geographic information systems, in an effort to model the reciprocal relationship between attitudes toward travel modes and land use in a neighborhood. Then, this study examines how the direction of the relationship differentiates the effects that the two factors have on trip frequencies. The direction is found to be contingent on trip purpose, that is, the attit
On-street parking is an urgent issue to address in a fast-growing city of a developing country, such as Yogyakarta City in Indonesia. However, this issue has not been satisfactorily studied due to a lack of relevant parking data. Using a sample of 21 street segments that are currently used for on-street parking in the central district of the city, this study analyzes how the parking duration and demand are differentiated by street and land use characteristics. The characteristics are evaluated t
A comparison is made among the three areas of the Korean Capital Region to investigate the effects of their different tourism resources on attribute satisfaction and the relationships that attribute satisfaction has with overall satisfaction, country image, and tourist loyalty. Three partial least squares structural equation models find that costs, lodging, and communication are consistently unimportant, but the most important variable differs by area. In Seoul (an international shopping center)
Empirical studies on the land use–travel relationship have begun to consider the confounding or moderating effect of residential self-selection on the relationship. The studies were mainly focused on how to control for selection bias in relation to its threat to internal validity, but the bias also harms external validity through its interaction with explanatory variables. This study further considers this interaction moderation using partial least squares structural equation modeling, which com
Planning and medical studies have independently evaluated the effects of land use on travel behavior. Focusing on actual land use, planning studies have measured the impacts of land use. This study analyzes the effects of two land use factors—objective and perceived land use. It develops a structural equation model in which the land use factors have multiple relationships with travel behavior, and then modifies the model to consider different travel behaviors reflecting varying travel purposes:
A comparison is made between the effects of three variable groups or factors—urban forms, sociodemographics, and attitudes—on the frequencies of trips for commuting, shopping, and leisure purposes. A structural equation model is developed as a common travel-purpose model and then modified for each travel purpose according to the outcomes of a survey conducted in Seoul, South Korea. The findings show that the strongest variable in each factor is the same as that shown in European and US research,
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