Human Behavior Model in Public Pedestrian-Only Space Estimated Using High-Precision Trajectory Data

Toshihiro Osaragi (), Arisa Homma and Hiroyuki Kaneko
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Toshihiro Osaragi: Tokyo Institute of Technology
Arisa Homma: Tokyo Institute of Technology
Hiroyuki Kaneko: Kajima Technical Research Institute

A chapter in Advances and New Trends in Environmental Informatics, 2022, pp 155-169 from Springer

Abstract: Abstract A human behavior model describing the actions of pedestrians in public pedestrian-only space was constructed on the basis of high-precision trajectory data gathered using a laser scanner sensor system. First, a route selection model that could be used to describe macroscopic trajectories was constructed. Next, a walking model that includes the psychological stress imposed by the presence of walls, columns, and other hindrances to motion. These models were then combined to create the human behavior model. Next, using laser scanner sensors, highly precise measurements were taken of the trajectories of pedestrians in the reception area of a hospital. The observational data were employed to estimate unknown parameters in the human behavior model, and to note the characteristics (sex, patient or staff, mobility aid usage) of the pedestrians as they varied with pedestrian attributes. Finally, we proposed a procedure for evaluating the comfort and efficiency of public pedestrian-only space. Using simulation analysis, we demonstrated that it is possible to uniquely estimate the spatial distribution of comfort and efficiency at any given location from the frequency of passages at that location.

Keywords: Human behavior model; Laser scanner sensor; Behavior monitoring; Psychological stress (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-030-88063-7_10

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DOI: 10.1007/978-3-030-88063-7_10

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