Gihyoug Cho
Ulsan National Institute of Science and Technology · 社会科学
研究室紹介
Professor Gihyoun Cho's research lab specializes in urban sustainability, transportation behavior, and smart city technologies, with a focus on understanding the interplay between urban environments, individual mobility patterns, and technological innovations. The lab investigates how built and regional environments influence physical activity and travel behavior, particularly through the integration of GPS, accelerometers, and agent-based simulation models. It also explores the role of bike-sharing systems and public transit integration, as well as emergency evacuation modeling for large-scale industrial accidents. The lab emphasizes data-driven, interdisciplinary approaches combining urban planning, environmental health, and transportation science.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15There have been many attempts to transform cities into smart cities worldwide. However, it is difficult to understand and describe smart cities from different perspectives, given the widespread application of the concept of smart city in diverse disciplines, such as urban planning, electronic engineering, and computer sciences. This work conducted a comprehensive smart city literature review based on text mining of 3,315 papers on smart cities published in journals indexed in the Science Citatio
BACKGROUND: Studies that have combined accelerometers and global positioning systems (GPS) to identify walking have done so in carefully controlled conditions. This study tested algorithms for identifying walking trips from accelerometer and GPS data in free-living conditions. The study also assessed the accuracy of the locations where walking occurred compared with what participants reported in a diary. METHODS: A convenience sample of high school females was recruited (N = 42) in 2007. Partici
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