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- W3208749853 abstract "With the global pandemic of COVID-19, physical distancing has become a recommended practice in public spaces. Since the planning standards for indoor space use are based on pre-pandemic situations, there are no quantitative studies considering the pedestrian proximity probability in public spaces. With this background, agent-based modeling (ABM) that takes into account the dynamic characteristics of pedestrian behavior is promising. This study aims to develop an ABM tool for estimating pedestrian proximity probability in a station atrium and explore an agent-based modeling and simulation framework for emergency space planners and designers." @default.
- W3208749853 created "2021-11-08" @default.
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- W3208749853 date "2021-11-01" @default.
- W3208749853 modified "2023-10-16" @default.
- W3208749853 title "A STUDY ON ESTIMATION OF PEDESTRIAN PROXIMITY PROBABILITY IN AN ATRIUM INSIDE A STATION DURING THE COVID-19 PANDEMIC USING AGENT-BASED SIMULATION" @default.
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- W3208749853 doi "https://doi.org/10.3130/aija.86.2517" @default.
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