The University of Tokyo · Engineering
Professor Xiaolu Jia's research lab specializes in pedestrian dynamics and crowd behavior, focusing on human movement patterns in confined and complex environments. The lab investigates fundamental aspects such as evading and surpassing behaviors, pedestrian comfort and perceived congestion, and the impact of individual differences like gender and culture on single-file movement. Using a combination of experimental studies, controlled simulations, and data-driven analysis, the lab aims to improve evacuation efficiency, walking environment design, and the accuracy of congestion evaluation metrics.
Figures are computed from collected data and may differ slightly.
The pedestrian flow with evading and surpassing behavior in a walking passageway is simulated based on a modified social force model in order to explore the influence of this behavior on evacuation efficiency, bottleneck passing capacity, and the macroscopic phenomenon. A pair of conjugated self-driven forces is introduced to enable a pedestrian to avoid a direct collision and keep a normal velocity magnitude while confronting an obstacle. The pedestrian avoiding time is used to define the trigg
The evaluation of pedestrian comfortability is important for the construction and management of walkable spaces. Pedestrian level-of-service (LOS), which is mostly categorized by density, has been widely applied and is believed to be capable of indicating the comfortability of the crowd. However, there is a lack of evidence that physically measured LOS reflects psychological comfortability, let alone the comparison between the performances of different candidate indicators, including the velocit
A periodic testing model for a preparedness system with a defective state Get access X. Jia, X. Jia Search for other works by this author on: Oxford Academic Google Scholar A. H. Christer A. H. Christer Search for other works by this author on: Oxford Academic Google Scholar IMA Journal of Management Mathematics, Volume 13, Issue 1, January 2002, Pages 39–49, https://doi.org/10.1093/imaman/13.1.39 Published: 01 January 2002
Experimental work has opened new avenues for studying crowd behavior under well-controlled conditions with desirable levels of measurement accuracy. However, unlike many other areas of behavioral science, little attention has been paid to how reproducible and transferable crowd phenomena are between different populations. As such, there is only limited knowledge about how universal and generalizable experimental observations on crowd behavior are. This research explores how gender and culture im
Accurately evaluating pedestrian congestion is crucial for evidence-based improvements in various walking environments. Tracking pedestrian movements in real-world settings often leads to incomplete data collection. Despite this challenge, pedestrian congestion with missing data has not been extensively addressed in existing research. This study examined the impact of missing data on density, speed, and congestion number in the course of evaluating pedestrian congestion. While density is the mos
Present simulation and experimental research still have deficiency in depicting the evading behaviour of single pedestrians confronting with an obstacle, which is the basis for the study of crowd dynamics affected by obstacles in real life. Therefore, this study will conduct experiments with a bar-shaped obstacle in the middle of a corridor and explore the corresponding general and particular features of single pedestrians. Particularly, the variation of pedestrian velocity and trajectory under
Abstract For pedestrians in walking facilities, their movements are often obstructed by bottlenecks where the walkable widths are geometrically reduced. In previous research, to reproduce the influence of bottlenecks on pedestrian movements, agent-based simulation models have been widely applied. However, their high reliability on modeling rules and parameters requires calibration at the microscopic level, which makes them difficult to apply from an engineering perspective. Here, we applied a ma
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