Ulsan National Institute of Science and Technology · 社会科学
Professor Gi-Hyoug Cho's research lab specializes in urban transportation behavior, with a focus on the interplay between built environments, travel behavior, and sustainable mobility. The lab investigates how regional and neighborhood-scale environmental factors influence physical activity and active transportation, particularly walking and bike-sharing, using advanced data collection methods such as GPS and agent-based simulation models. A key research direction involves modeling emergency evacuations following large-scale chemical accidents, integrating transportation and dispersion modeling for risk assessment. The lab also explores long-term behavioral patterns, including the impact of residential relocation on travel behavior and the integration of bike-share with public transit systems.
Figures are computed from collected data and may differ slightly.
In examining the association between environmental exposures and walking, conducting research on a neighbourhood scale has been the dominant approach whereas the association of the regional-scale environment with behaviours has rarely been explored. Because regional location and neighbourhood built environment attributes are likely to be correlated, the findings in neighbourhood-scale studies may be biased. In contrast to existing literature, this study is based on the assumption that a neighbou
Large-scale chemical accidents that occur near areas with large populations can cause significant damage not only to employees in a workplace but also to residents near the accident site. Despite the increasing frequency and severity of chemical accidents, few researchers have argued for the necessity of developing scenarios and simulation models for these accidents. Combining the TRANSIMS (Transportation Analysis and Simulation System) agent-based model with the ALOHA (Areal Location of Hazardo
Understanding how bike-share interacts with public transit is vital to determining the potential benefits of bike-share on the existing urban transportation system. This study examines the effects of bike-share users’ socio-demographics and trip features on whether bike-share users integrate or substitute public transit by conducting a questionnaire survey of Seoul’s bike-share users. The multinomial logistic model (MLM) was used for the statistical analysis. Our results showed that the bike-sha
While travel diaries are widely used to investigate walking behavior, the emergence of portable GPS units provides an innovative approach to characterizing walking behavior. This study compares the number and duration of daily walking trips reported in travel diaries with data extracted from a portable GPS unit and identified as the same walking trips. The study had two phases: (1) We used 35 person-days of travel data to determine the best algorithm for identifying walking trips from GPS data.
Travel behavior researchers have dominantly explored the influence of increase in development densities with mixed pattern of land-uses, and investment in infrastructures related to public transit toward more sustainable-transportation policies. However, little has been known about the long-term interdependencies between people’s decisions on travel behavior and individual biographies relating to residential relocation and habitual behavior over a longer time period. To fill this gap, the presen
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